Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
01/11/2026
Full time
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
Cutting Edge Technology! This Jobot Job is hosted by: Lincoln Sprague Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $145,000 - $190,000 per year A bit about us: We are a cutting edge cybersecurity company that focuses on creating hardware and software communications solutions for the defense sector. If you are a dedicated embedded software engineer who is ready to take on the toughest technical challenges please apply today! Why join us? Top Tier Benefits Large Bonus Potential Free Gym Program Job Details Job Details: We are seeking a highly skilled and motivated Embedded Software Engineer to join our dynamic and innovative team. This is a permanent position where you will be working on cutting-edge technology projects that revolutionize our industry. The successful candidate will be responsible for designing, developing, and testing embedded software systems, with a focus on Yocto, Embedded Linux, Microprocessors, and cryptography theory. If you are passionate about technology, thrive in a fast-paced environment, and have a strong desire to make a significant impact, we want to hear from you. Responsibilities: 1. Design, develop, and test embedded software systems and ensure their robustness, reliability, and safety. 2. Work on all phases of software development life cycle, from requirement analysis, design, coding, testing, debugging, and maintenance. 3. Utilize your expertise in Yocto, Embedded Linux, Microprocessors, and cryptography theory to develop innovative solutions. 4. Collaborate with multidisciplinary teams to define software specifications and requirements. 5. Participate in code and design reviews to maintain our high development standards. 6. Troubleshoot and resolve software defects and other technical issues. 7. Write clear, maintainable, and efficient code. 8. Stay updated with the latest technological trends and apply them into operations and activities. 9. Provide technical guidance and coaching to developers and engineers. Qualifications: 1. Bachelor's degree in Computer Science, Electrical Engineering, or a related field. 2. A minimum of 5 years of experience in embedded software development. 3. Proficient with Yocto, Embedded Linux, Microprocessors, and cryptography theory. 4. Solid understanding of the software development life cycle. 5. Excellent knowledge of OS coding techniques, IP protocols, interfaces, and hardware subsystems. 6. Strong troubleshooting and problem-solving skills. 7. Excellent knowledge of reading schematics and data sheets for components. 8. Strong documentation and writing skills. 9. Ability to work in a team-oriented, collaborative environment. 10. Excellent communication skills, both verbal and written. 11. Strong attention to detail, with a commitment to high quality and accuracy. 12. Ability to manage multiple tasks, prioritize effectively, and meet deadlines. 13. Self-motivated and capable of working with minimal supervision. This is an exciting opportunity to work with a team of talented engineers and make a significant contribution to our future projects. If you are a self-starter who is excited about technology and enjoys working in a fast-paced, team-oriented environment, we would love to hear from you. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
01/11/2026
Full time
Cutting Edge Technology! This Jobot Job is hosted by: Lincoln Sprague Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $145,000 - $190,000 per year A bit about us: We are a cutting edge cybersecurity company that focuses on creating hardware and software communications solutions for the defense sector. If you are a dedicated embedded software engineer who is ready to take on the toughest technical challenges please apply today! Why join us? Top Tier Benefits Large Bonus Potential Free Gym Program Job Details Job Details: We are seeking a highly skilled and motivated Embedded Software Engineer to join our dynamic and innovative team. This is a permanent position where you will be working on cutting-edge technology projects that revolutionize our industry. The successful candidate will be responsible for designing, developing, and testing embedded software systems, with a focus on Yocto, Embedded Linux, Microprocessors, and cryptography theory. If you are passionate about technology, thrive in a fast-paced environment, and have a strong desire to make a significant impact, we want to hear from you. Responsibilities: 1. Design, develop, and test embedded software systems and ensure their robustness, reliability, and safety. 2. Work on all phases of software development life cycle, from requirement analysis, design, coding, testing, debugging, and maintenance. 3. Utilize your expertise in Yocto, Embedded Linux, Microprocessors, and cryptography theory to develop innovative solutions. 4. Collaborate with multidisciplinary teams to define software specifications and requirements. 5. Participate in code and design reviews to maintain our high development standards. 6. Troubleshoot and resolve software defects and other technical issues. 7. Write clear, maintainable, and efficient code. 8. Stay updated with the latest technological trends and apply them into operations and activities. 9. Provide technical guidance and coaching to developers and engineers. Qualifications: 1. Bachelor's degree in Computer Science, Electrical Engineering, or a related field. 2. A minimum of 5 years of experience in embedded software development. 3. Proficient with Yocto, Embedded Linux, Microprocessors, and cryptography theory. 4. Solid understanding of the software development life cycle. 5. Excellent knowledge of OS coding techniques, IP protocols, interfaces, and hardware subsystems. 6. Strong troubleshooting and problem-solving skills. 7. Excellent knowledge of reading schematics and data sheets for components. 8. Strong documentation and writing skills. 9. Ability to work in a team-oriented, collaborative environment. 10. Excellent communication skills, both verbal and written. 11. Strong attention to detail, with a commitment to high quality and accuracy. 12. Ability to manage multiple tasks, prioritize effectively, and meet deadlines. 13. Self-motivated and capable of working with minimal supervision. This is an exciting opportunity to work with a team of talented engineers and make a significant contribution to our future projects. If you are a self-starter who is excited about technology and enjoys working in a fast-paced, team-oriented environment, we would love to hear from you. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
01/11/2026
Full time
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
01/11/2026
Full time
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
01/11/2026
Full time
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
Systems Administrator needed (on-site) for well-established environment engineering company This Jobot Job is hosted by: Joseph Calabrese Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $80,000 - $100,000 per year A bit about us: We are a well established Engineering Firm located in Winter Park, FL Why join us? Full Benefits Medical Dental Vision 401k Join a well established team who is invested in your growth, development and continued success Rewarding work and responsibilities Excellent culture and peers Job Details Responsibilities Assist with Managing and maintaining Microsoft Exchange, SQL Server, and Windows Server environments in an on-premises server configuration. Monitor system performance, backups, patching, and data security. Support and troubleshoot networking, firewall, and VPN configurations. Implement and maintain cybersecurity protocols and disaster recovery plans. Manage user accounts, permissions, and licensing Coordinate with leadership and external vendors to ensure reliable IT operations across all offices. Evaluate emerging technologies to enhance system reliability, scalability, and security. Qualifications: Bachelor's degree in Information Technology, Computer Science, or related field (or equivalent experience). 5+ years of IT administration experience, preferably in a professional services or engineering environment. Proficiency in Microsoft Exchange, SQL Server, and Windows Server administration. Microsoft certifications such as MCSA, MCSE, or Microsoft 365 Certified: Administrator are strongly preferred. Preferred Experience: Familiarity with engineering and GIS applications (Bentley OpenRoads Designer, Civil 3D, ArcGIS, QGIS,) is a plus. Familiarity with Python and R for coding applications is a plus Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
01/11/2026
Full time
Systems Administrator needed (on-site) for well-established environment engineering company This Jobot Job is hosted by: Joseph Calabrese Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $80,000 - $100,000 per year A bit about us: We are a well established Engineering Firm located in Winter Park, FL Why join us? Full Benefits Medical Dental Vision 401k Join a well established team who is invested in your growth, development and continued success Rewarding work and responsibilities Excellent culture and peers Job Details Responsibilities Assist with Managing and maintaining Microsoft Exchange, SQL Server, and Windows Server environments in an on-premises server configuration. Monitor system performance, backups, patching, and data security. Support and troubleshoot networking, firewall, and VPN configurations. Implement and maintain cybersecurity protocols and disaster recovery plans. Manage user accounts, permissions, and licensing Coordinate with leadership and external vendors to ensure reliable IT operations across all offices. Evaluate emerging technologies to enhance system reliability, scalability, and security. Qualifications: Bachelor's degree in Information Technology, Computer Science, or related field (or equivalent experience). 5+ years of IT administration experience, preferably in a professional services or engineering environment. Proficiency in Microsoft Exchange, SQL Server, and Windows Server administration. Microsoft certifications such as MCSA, MCSE, or Microsoft 365 Certified: Administrator are strongly preferred. Preferred Experience: Familiarity with engineering and GIS applications (Bentley OpenRoads Designer, Civil 3D, ArcGIS, QGIS,) is a plus. Familiarity with Python and R for coding applications is a plus Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
01/11/2026
Full time
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
01/11/2026
Full time
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
Empowering Smart Decisions with Data-Driven Insights and Innovative Solutions This Jobot Job is hosted by: Gene Choi Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $110,000 - $180,000 per year A bit about us: We are a leading provider of risk management and cybersecurity solutions, helping organizations make data-driven decisions to protect their most critical assets. With a focus on transforming complex risk data into actionable insights, we empower businesses to optimize their security posture and ensure long-term resilience. Why join us? Competitive Base Salary! 401K match, PTO, and excellent benefits! Accelerated Career Growth! Hybrid (3 days remote)! Job Details Responsibilities: Design, develop, and implement high-quality software solutions using TypeScript, JavaScript, React, SQL, NoSQL, Python, GraphQL, and MongoDB. Collaborate with cross-functional teams to define, design, and ship new features. Troubleshoot, debug, and upgrade existing software to ensure strong functionality and optimization. Participate in all phases of the software development lifecycle, from concept to deployment. Maintain code integrity, organization, and automatization. Develop and maintain technical documentation to guide future software development projects. Mentor junior software engineers and share knowledge across the team. Stay abreast of the latest industry trends and technologies to keep our company at the cutting edge. Qualifications: Bachelor's degree in Computer Science, Information Technology, or related field. A minimum of 5 years of experience in a software engineering role. Proven experience with TypeScript, JavaScript, React, SQL, NoSQL, Python, GraphQL, and MongoDB. Experience working in a start-up environment is a plus. Strong understanding of software development principles, algorithms, data structures, and multithreading concepts. Excellent problem-solving skills, with the ability to analyze complex problems and propose practical solutions. Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders. Self-motivated, with the ability to work independently and in a team. Strong attention to detail and a commitment to delivering high-quality software solutions. A passion for technology and a desire to stay up-to-date with the latest industry trends and technologies. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
01/11/2026
Full time
Empowering Smart Decisions with Data-Driven Insights and Innovative Solutions This Jobot Job is hosted by: Gene Choi Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $110,000 - $180,000 per year A bit about us: We are a leading provider of risk management and cybersecurity solutions, helping organizations make data-driven decisions to protect their most critical assets. With a focus on transforming complex risk data into actionable insights, we empower businesses to optimize their security posture and ensure long-term resilience. Why join us? Competitive Base Salary! 401K match, PTO, and excellent benefits! Accelerated Career Growth! Hybrid (3 days remote)! Job Details Responsibilities: Design, develop, and implement high-quality software solutions using TypeScript, JavaScript, React, SQL, NoSQL, Python, GraphQL, and MongoDB. Collaborate with cross-functional teams to define, design, and ship new features. Troubleshoot, debug, and upgrade existing software to ensure strong functionality and optimization. Participate in all phases of the software development lifecycle, from concept to deployment. Maintain code integrity, organization, and automatization. Develop and maintain technical documentation to guide future software development projects. Mentor junior software engineers and share knowledge across the team. Stay abreast of the latest industry trends and technologies to keep our company at the cutting edge. Qualifications: Bachelor's degree in Computer Science, Information Technology, or related field. A minimum of 5 years of experience in a software engineering role. Proven experience with TypeScript, JavaScript, React, SQL, NoSQL, Python, GraphQL, and MongoDB. Experience working in a start-up environment is a plus. Strong understanding of software development principles, algorithms, data structures, and multithreading concepts. Excellent problem-solving skills, with the ability to analyze complex problems and propose practical solutions. Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders. Self-motivated, with the ability to work independently and in a team. Strong attention to detail and a commitment to delivering high-quality software solutions. A passion for technology and a desire to stay up-to-date with the latest industry trends and technologies. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
01/11/2026
Full time
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
01/11/2026
Full time
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
01/11/2026
Full time
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
01/11/2026
Full time
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
Join a leading beltway IT and engineering services provider to work on exciting DoD projects. Full benefits offered including profit sharing plan and 401k with company match! This Jobot Job is hosted by: Dan Asher Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $95,000 - $115,000 per year A bit about us: We are a leading provider of information technology, logistics management, business process re-engineering, financial management, and administrative support services for the Department of the Navy and Homeland Security. We have an incredible team of engineers, analysts, and IT professionals ready to welcome you aboard! Software/Infrastructure Integration Engineer (Jr/mid Level, looking for 1-3 years of applicable experience including internships) Location: Manassas, VA Salary: $95,000 - $115,000 Why join us? Permanent, salaried position with benefits at a company with great employee longevity Great opportunity for career advancement! Annual profit sharing plan 401k with company match Vacation/PTO - 3 Weeks vacation is standard Comprehensive medical, dental, and vision from your first day! Streamlined interview process Job Details This position supports a naval mission-systems initiative focused on improving real-time awareness, coordination, and information sharing across distributed platforms. The technology integrates data from multiple sources to help operators assess conditions, plan missions, and make faster, more informed decisions in dynamic undersea and maritime environments. Overview This is a hands-on technical position ideal for an early-career engineer interested in the intersection of software, infrastructure, and defense systems. The role offers growth opportunities within a secure, mission-driven environment supporting advanced naval technologies. Position Summary We are seeking a proactive Systems/Software Integration Engineer (1-5 years of experience including internships) to assist with the deployment, configuration, and validation of complex software solutions across multiple computing environments. This early-career role combines elements of software integration, system testing, and DevOps support within an Agile framework. Primary Responsibilities Perform software integration and validation tasks in alignment with established DevOps processes Verify functional updates, apply patches, and conduct regression testing to confirm system stability across varied hardware and operating systems Identify, analyze, and resolve integration issues related to networking, virtualization, or software compatibility Capture test results and prepare supporting documentation consistent with Agile and DevOps reporting standards Participate in sprint planning, daily stand-ups, and retrospectives within a collaborative Agile team MUST HAVES Bachelor's degree in Computer Science, Software Engineering, Systems Engineering, Computer Engineering, or a related field At least 1 year experience working professionally in a DevOps enviornment Linux experience (RHEL) Experience/knowledge with setting up or managing Virtual Machines (this would not be a complete dealbreaker if candidate has experience in the majority of the rest) Python and/or Bash scripting skils Approximately 1-5 years of relevant technical experience (including internships or co-ops) Active Secret clearance with the U.S. Department of Defense at time of hire (Must be active, or have been active within 2 years so that it can be activated without a new investigation) NICE TO HAVES: Virtualization platforms such as oVirt, RHV, VMware vSphere/ESXI, or similar Experience with Kubernetes Containerization tools such as Docker or Podman or similar Version control and issue tracking tools such as Jira and Bitbucket Networking fundamentals including basic switch setup and configuration Public Key Infrastructure (PKI) certificate exchange, DoD cybersecurity standards, RMF, etc Vulnerability assessment or compliance scanning tools (e.g., ACAS or equivalent) Experience integrating and testing software within mixed hardware/software environments Exposure to continuous integration and automated testing frameworks Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
01/11/2026
Full time
Join a leading beltway IT and engineering services provider to work on exciting DoD projects. Full benefits offered including profit sharing plan and 401k with company match! This Jobot Job is hosted by: Dan Asher Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $95,000 - $115,000 per year A bit about us: We are a leading provider of information technology, logistics management, business process re-engineering, financial management, and administrative support services for the Department of the Navy and Homeland Security. We have an incredible team of engineers, analysts, and IT professionals ready to welcome you aboard! Software/Infrastructure Integration Engineer (Jr/mid Level, looking for 1-3 years of applicable experience including internships) Location: Manassas, VA Salary: $95,000 - $115,000 Why join us? Permanent, salaried position with benefits at a company with great employee longevity Great opportunity for career advancement! Annual profit sharing plan 401k with company match Vacation/PTO - 3 Weeks vacation is standard Comprehensive medical, dental, and vision from your first day! Streamlined interview process Job Details This position supports a naval mission-systems initiative focused on improving real-time awareness, coordination, and information sharing across distributed platforms. The technology integrates data from multiple sources to help operators assess conditions, plan missions, and make faster, more informed decisions in dynamic undersea and maritime environments. Overview This is a hands-on technical position ideal for an early-career engineer interested in the intersection of software, infrastructure, and defense systems. The role offers growth opportunities within a secure, mission-driven environment supporting advanced naval technologies. Position Summary We are seeking a proactive Systems/Software Integration Engineer (1-5 years of experience including internships) to assist with the deployment, configuration, and validation of complex software solutions across multiple computing environments. This early-career role combines elements of software integration, system testing, and DevOps support within an Agile framework. Primary Responsibilities Perform software integration and validation tasks in alignment with established DevOps processes Verify functional updates, apply patches, and conduct regression testing to confirm system stability across varied hardware and operating systems Identify, analyze, and resolve integration issues related to networking, virtualization, or software compatibility Capture test results and prepare supporting documentation consistent with Agile and DevOps reporting standards Participate in sprint planning, daily stand-ups, and retrospectives within a collaborative Agile team MUST HAVES Bachelor's degree in Computer Science, Software Engineering, Systems Engineering, Computer Engineering, or a related field At least 1 year experience working professionally in a DevOps enviornment Linux experience (RHEL) Experience/knowledge with setting up or managing Virtual Machines (this would not be a complete dealbreaker if candidate has experience in the majority of the rest) Python and/or Bash scripting skils Approximately 1-5 years of relevant technical experience (including internships or co-ops) Active Secret clearance with the U.S. Department of Defense at time of hire (Must be active, or have been active within 2 years so that it can be activated without a new investigation) NICE TO HAVES: Virtualization platforms such as oVirt, RHV, VMware vSphere/ESXI, or similar Experience with Kubernetes Containerization tools such as Docker or Podman or similar Version control and issue tracking tools such as Jira and Bitbucket Networking fundamentals including basic switch setup and configuration Public Key Infrastructure (PKI) certificate exchange, DoD cybersecurity standards, RMF, etc Vulnerability assessment or compliance scanning tools (e.g., ACAS or equivalent) Experience integrating and testing software within mixed hardware/software environments Exposure to continuous integration and automated testing frameworks Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
We take Work-Life-Balance seriously! This Jobot Job is hosted by: Madeline Lazarus Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $100,000 - $150,000 per year A bit about us: We work on challenging problems, and our work has a high impact We are a small business that provides Information Technology, Cybersecurity, and Software Engineering to the private and public sectors. Our team is composed of highly trained professionals with a commitment to continued learning, versatility, and adaptability within the ever-evolving technological landscape. Why join us? We pride ourselves on offering Work-Life-Balance Competitive Salaries Excellent Benefits We offer Stability Great Mentorship We are family-centric We make sure you are paired up to work with like-minded colleagues Job Details Join Our Team as a Senior SIGINT Development Analyst! Are you ready to take your career to the next level? We are seeking a dynamic and experienced Senior SIGINT Development Analyst to join our innovative team. If you have a passion for cutting-edge technology and a knack for analytical thinking, this is the perfect opportunity for you! What You'll Be Doing: As a Senior SIGINT Development Analyst, you will play a crucial role in optimizing and developing customer accesses. Your responsibilities will include conducting in-depth research and analysis of collection and collateral data to develop targets of interest and create analytic strategies. You will identify target communications within the global network, focusing on data and voice communications, including DNR (voice/FAX), DNI, and other advanced technologies over IP. Key Responsibilities: Provide analytic support to optimize and develop assigned customer accesses. Conduct research and analysis to develop targets of interest and analytic strategies. Identify target communications within the global network. Utilize your expertise in data and voice communications, including DNR (voice/FAX), DNI, and advanced technologies over IP. Apply critical thinking and reasoning to make analytic determinations. Leverage your knowledge of various technologies and topics to identify analytic vectors. Exploit foreign communications and communication systems to collect, analyze, process, and disseminate SIGINT information. Use software applications and databases associated with SIGINT target development. Develop techniques and tools for collecting, evaluating, analyzing, documenting, locating, or presenting information. Demonstrate familiarity with SIGINT and collateral report repositories and incorporate independent research to enhance target development. Provide guidance to LEVEL 1 and LEVEL 2 contractor personnel involved with SIGINT development. Offer SIGDEV support to optimize and develop accesses. Must-Have Skills: 10 years of experience in SIGINT Development analytical support. Expertise in DNI/DNR collection and dataflow. Proficiency in detailed protocol analysis. Experience with Midas-based tools. Graduate of Military COMINT Signals Analyst Program (MCSAP), Military Signals Analyst Program (MSAP), Signals Analyst Development Program (SADP), and Military Cryptologic Continuing Education Program - Signals Analysis (MCCEP-SA). Active TS/SCI with Full Scope Polygraph. Why Join Us? Be part of a forward-thinking team that values innovation and excellence. Work on exciting projects that make a real impact. Collaborate with talented professionals in a supportive and dynamic environment. Enjoy opportunities for professional growth and development. If you're ready to take on this exciting challenge and make a difference, apply now and become a key player in our team! Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
01/11/2026
Full time
We take Work-Life-Balance seriously! This Jobot Job is hosted by: Madeline Lazarus Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $100,000 - $150,000 per year A bit about us: We work on challenging problems, and our work has a high impact We are a small business that provides Information Technology, Cybersecurity, and Software Engineering to the private and public sectors. Our team is composed of highly trained professionals with a commitment to continued learning, versatility, and adaptability within the ever-evolving technological landscape. Why join us? We pride ourselves on offering Work-Life-Balance Competitive Salaries Excellent Benefits We offer Stability Great Mentorship We are family-centric We make sure you are paired up to work with like-minded colleagues Job Details Join Our Team as a Senior SIGINT Development Analyst! Are you ready to take your career to the next level? We are seeking a dynamic and experienced Senior SIGINT Development Analyst to join our innovative team. If you have a passion for cutting-edge technology and a knack for analytical thinking, this is the perfect opportunity for you! What You'll Be Doing: As a Senior SIGINT Development Analyst, you will play a crucial role in optimizing and developing customer accesses. Your responsibilities will include conducting in-depth research and analysis of collection and collateral data to develop targets of interest and create analytic strategies. You will identify target communications within the global network, focusing on data and voice communications, including DNR (voice/FAX), DNI, and other advanced technologies over IP. Key Responsibilities: Provide analytic support to optimize and develop assigned customer accesses. Conduct research and analysis to develop targets of interest and analytic strategies. Identify target communications within the global network. Utilize your expertise in data and voice communications, including DNR (voice/FAX), DNI, and advanced technologies over IP. Apply critical thinking and reasoning to make analytic determinations. Leverage your knowledge of various technologies and topics to identify analytic vectors. Exploit foreign communications and communication systems to collect, analyze, process, and disseminate SIGINT information. Use software applications and databases associated with SIGINT target development. Develop techniques and tools for collecting, evaluating, analyzing, documenting, locating, or presenting information. Demonstrate familiarity with SIGINT and collateral report repositories and incorporate independent research to enhance target development. Provide guidance to LEVEL 1 and LEVEL 2 contractor personnel involved with SIGINT development. Offer SIGDEV support to optimize and develop accesses. Must-Have Skills: 10 years of experience in SIGINT Development analytical support. Expertise in DNI/DNR collection and dataflow. Proficiency in detailed protocol analysis. Experience with Midas-based tools. Graduate of Military COMINT Signals Analyst Program (MCSAP), Military Signals Analyst Program (MSAP), Signals Analyst Development Program (SADP), and Military Cryptologic Continuing Education Program - Signals Analysis (MCCEP-SA). Active TS/SCI with Full Scope Polygraph. Why Join Us? Be part of a forward-thinking team that values innovation and excellence. Work on exciting projects that make a real impact. Collaborate with talented professionals in a supportive and dynamic environment. Enjoy opportunities for professional growth and development. If you're ready to take on this exciting challenge and make a difference, apply now and become a key player in our team! Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Patent Agent Software & Emerging Tech - Atlanta, GA This Jobot Job is hosted by: Dana Paulo Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $150,000 - $220,000 per year A bit about us: Our Electronics & Software practice advises technology-driven companies on the development and protection of sophisticated patent portfolios across a wide range of software-related industries. The team is known for its technical depth, collaborative culture, and commitment to delivering high-quality, business-aligned prosecution work. Why join us? This role offers the opportunity to focus on substantive, high-level patent prosecution within a highly regarded practice, while benefiting from geographic flexibility and a sustainable workload. Patent Agents in this group work closely with experienced practitioners and clients on complex technologies, with an emphasis on quality, collaboration, and long-term career development. Job Details Job Details: We are seeking a highly motivated and experienced Patent Agent specializing in Software Technologies to join our dynamic legal team. This is an exciting opportunity to work on cutting-edge technologies and to be part of a team that thrives in a fast-paced, high-energy environment. The successful candidate will be responsible for managing patent applications, portfolio development, client counseling, and technical writing. This role demands a deep understanding of artificial intelligence, cloud computing, cybersecurity, and encryption. This is a permanent position that requires 5+ years of experience. Responsibilities: 1. Draft, review, and manage patent applications for software technologies, including but not limited to artificial intelligence, cloud computing, cybersecurity, and encryption. 2. Develop and manage patent portfolios, including identifying opportunities for new patent applications. 3. Respond to Office Action from the USPTO and other patent offices worldwide. 4. Provide counseling and guidance to clients on patent matters, including advising on patentability, infringement, validity, and freedom to operate issues. 5. Conduct patent searches and analyses to support business decisions and strategy. 6. Collaborate with engineers and product managers to understand and capture inventions. 7. Prepare technical and legal documents, including invention disclosures, patent applications, responses to office actions, and other related documents. 8. Stay abreast of developments in the field of software technologies, as well as changes in patent laws and regulations. Qualifications: 1. Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. 2. Registered Patent Agent with the USPTO. 3. Minimum of 3 years of experience in patent prosecution, preferably in the area of software technologies. 4. Profound knowledge of artificial intelligence, cloud computing, cybersecurity, and encryption. 5. Proven experience in drafting and prosecuting patent applications, responding to Office Actions, and managing patent portfolios. 6. Excellent technical writing skills, with the ability to explain complex technical concepts in clear, concise terms. 7. Demonstrated ability to provide effective client counseling. 8. Strong analytical and problem-solving skills, with a keen eye for detail. 9. Ability to work independently and as part of a team. 10. Excellent organizational and time management skills, with the ability to manage multiple tasks and deadlines effectively. 11. Proficiency in using patent databases and other patent-related tools and resources. 12. Strong commitment to professional development and continuous learning. 13. Excellent interpersonal and communication skills, with the ability to work effectively with individuals at all levels within the organization. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
01/11/2026
Full time
Patent Agent Software & Emerging Tech - Atlanta, GA This Jobot Job is hosted by: Dana Paulo Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $150,000 - $220,000 per year A bit about us: Our Electronics & Software practice advises technology-driven companies on the development and protection of sophisticated patent portfolios across a wide range of software-related industries. The team is known for its technical depth, collaborative culture, and commitment to delivering high-quality, business-aligned prosecution work. Why join us? This role offers the opportunity to focus on substantive, high-level patent prosecution within a highly regarded practice, while benefiting from geographic flexibility and a sustainable workload. Patent Agents in this group work closely with experienced practitioners and clients on complex technologies, with an emphasis on quality, collaboration, and long-term career development. Job Details Job Details: We are seeking a highly motivated and experienced Patent Agent specializing in Software Technologies to join our dynamic legal team. This is an exciting opportunity to work on cutting-edge technologies and to be part of a team that thrives in a fast-paced, high-energy environment. The successful candidate will be responsible for managing patent applications, portfolio development, client counseling, and technical writing. This role demands a deep understanding of artificial intelligence, cloud computing, cybersecurity, and encryption. This is a permanent position that requires 5+ years of experience. Responsibilities: 1. Draft, review, and manage patent applications for software technologies, including but not limited to artificial intelligence, cloud computing, cybersecurity, and encryption. 2. Develop and manage patent portfolios, including identifying opportunities for new patent applications. 3. Respond to Office Action from the USPTO and other patent offices worldwide. 4. Provide counseling and guidance to clients on patent matters, including advising on patentability, infringement, validity, and freedom to operate issues. 5. Conduct patent searches and analyses to support business decisions and strategy. 6. Collaborate with engineers and product managers to understand and capture inventions. 7. Prepare technical and legal documents, including invention disclosures, patent applications, responses to office actions, and other related documents. 8. Stay abreast of developments in the field of software technologies, as well as changes in patent laws and regulations. Qualifications: 1. Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. 2. Registered Patent Agent with the USPTO. 3. Minimum of 3 years of experience in patent prosecution, preferably in the area of software technologies. 4. Profound knowledge of artificial intelligence, cloud computing, cybersecurity, and encryption. 5. Proven experience in drafting and prosecuting patent applications, responding to Office Actions, and managing patent portfolios. 6. Excellent technical writing skills, with the ability to explain complex technical concepts in clear, concise terms. 7. Demonstrated ability to provide effective client counseling. 8. Strong analytical and problem-solving skills, with a keen eye for detail. 9. Ability to work independently and as part of a team. 10. Excellent organizational and time management skills, with the ability to manage multiple tasks and deadlines effectively. 11. Proficiency in using patent databases and other patent-related tools and resources. 12. Strong commitment to professional development and continuous learning. 13. Excellent interpersonal and communication skills, with the ability to work effectively with individuals at all levels within the organization. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Join our team for the long haul! This Jobot Job is hosted by: Madeline Lazarus Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $100,000 - $120,000 per year A bit about us: We work on challenging problems, and our work has a high impact We are a small business that provides Information Technology, Cybersecurity, and Software Engineering to the private and public sectors. Our team is composed of highly trained professionals with a commitment to continued learning, versatility, and adaptability within the ever-evolving technological landscape. Why join us? We pride ourselves on offering Work-Life-Balance Competitive Salaries Excellent Benefits We offer Stability Great Mentorship We are family-centric We make sure you are paired up to work with like-minded colleagues Job Details What you will be doing: nalyzes user's requirements, concept of operations documents, and high level system architectures to develop system requirements specifications. Analyzes system requirements and leads design and development activities. Guides users in formulating requirements, advises alternative approaches, and conducts feasibility studies. Provides technical leadership for the integration of requirements, design, and technology. Incorporates new plans, designs and systems into ongoing operations. Develops technical documentation. Develops system Architecture and system design documentation. Guides system development and implementation planning through assessment or preparation of system engineering management plans and system integration and test plans. Interacts with the Government regarding System Engineering technical considerations and for associated problems, issues or conflicts. Ultimate responsibility for the technical integrity of work performed and deliverables associated with the System Engineering area of responsibility. Communicates with other program personnel, government overseers, and senior executives. Required Skills: Manage system requirements and derived requirements to ensure the delivery of production systems that are compatible with the defined system architecture(s) - Department of Defense Architecture Framework (DoDAF), Service-oriented Architecture (SOA), etc Contribute to the development of system engineering documentation such as System Engineering Plans, Initial Capability Documents, requirement specifications, and Interface Control Documents Assist with the development of system requirements, functional requirements, and allocation of the same to individual hardware, software, facility, and personnel components Coordinate the resolution of action items from Configuration Control Board (CCB) meetings, design reviews, program reviews, and test reviews that require cross-discipline coordination Participate in an Integrated Product Team to design new capabilities based upon evaluation of all necessary development and operational considerations Allocate real-time process budgets and error budgets to systems and subsystem components Generate alternative system concepts, physical architectures, and design solutions Define the methods, processes, and evaluation criteria by which the systems, subsystems and work products are verified against their requirements in a written plan Develop system design solution that satisfies the system requirements and fulfills the functional analysis Review and provide input to program and contract work breakdown structure (WBS), work packages and the integrated master plan (IMP) Participate in interface definition, design, and changes to the configuration between affected groups and individuals throughout the life cycle Derive from the system requirements an understanding of stakeholder needs, functions that may be logically inferred and implied as essential to system effectiveness Derive lower-level requirements from higher-level allocated requirements that describe in detail the functions that a system component must fulfill, and ensure these requirements are complete, correct, unique, unambiguous, realizable, and verifiable Participate in establishing and gaining approval of the definition of a system or component under development (requirements, designs, interfaces, test procedures, etc.) that provides a common reference point for hardware and software developers Develop derived requirements for Information Assurance Services (Confidentiality, Integrity, Non repudiation, and Availability); Basic Information Assurance Mechanisms (e.g., Identification, Authentication, Access Control, Accountability); and Security Mechanism Technology (Passwords, cryptography, discretionary access control, mandatory access control, hashing, key management, etc.) Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
01/11/2026
Full time
Join our team for the long haul! This Jobot Job is hosted by: Madeline Lazarus Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $100,000 - $120,000 per year A bit about us: We work on challenging problems, and our work has a high impact We are a small business that provides Information Technology, Cybersecurity, and Software Engineering to the private and public sectors. Our team is composed of highly trained professionals with a commitment to continued learning, versatility, and adaptability within the ever-evolving technological landscape. Why join us? We pride ourselves on offering Work-Life-Balance Competitive Salaries Excellent Benefits We offer Stability Great Mentorship We are family-centric We make sure you are paired up to work with like-minded colleagues Job Details What you will be doing: nalyzes user's requirements, concept of operations documents, and high level system architectures to develop system requirements specifications. Analyzes system requirements and leads design and development activities. Guides users in formulating requirements, advises alternative approaches, and conducts feasibility studies. Provides technical leadership for the integration of requirements, design, and technology. Incorporates new plans, designs and systems into ongoing operations. Develops technical documentation. Develops system Architecture and system design documentation. Guides system development and implementation planning through assessment or preparation of system engineering management plans and system integration and test plans. Interacts with the Government regarding System Engineering technical considerations and for associated problems, issues or conflicts. Ultimate responsibility for the technical integrity of work performed and deliverables associated with the System Engineering area of responsibility. Communicates with other program personnel, government overseers, and senior executives. Required Skills: Manage system requirements and derived requirements to ensure the delivery of production systems that are compatible with the defined system architecture(s) - Department of Defense Architecture Framework (DoDAF), Service-oriented Architecture (SOA), etc Contribute to the development of system engineering documentation such as System Engineering Plans, Initial Capability Documents, requirement specifications, and Interface Control Documents Assist with the development of system requirements, functional requirements, and allocation of the same to individual hardware, software, facility, and personnel components Coordinate the resolution of action items from Configuration Control Board (CCB) meetings, design reviews, program reviews, and test reviews that require cross-discipline coordination Participate in an Integrated Product Team to design new capabilities based upon evaluation of all necessary development and operational considerations Allocate real-time process budgets and error budgets to systems and subsystem components Generate alternative system concepts, physical architectures, and design solutions Define the methods, processes, and evaluation criteria by which the systems, subsystems and work products are verified against their requirements in a written plan Develop system design solution that satisfies the system requirements and fulfills the functional analysis Review and provide input to program and contract work breakdown structure (WBS), work packages and the integrated master plan (IMP) Participate in interface definition, design, and changes to the configuration between affected groups and individuals throughout the life cycle Derive from the system requirements an understanding of stakeholder needs, functions that may be logically inferred and implied as essential to system effectiveness Derive lower-level requirements from higher-level allocated requirements that describe in detail the functions that a system component must fulfill, and ensure these requirements are complete, correct, unique, unambiguous, realizable, and verifiable Participate in establishing and gaining approval of the definition of a system or component under development (requirements, designs, interfaces, test procedures, etc.) that provides a common reference point for hardware and software developers Develop derived requirements for Information Assurance Services (Confidentiality, Integrity, Non repudiation, and Availability); Basic Information Assurance Mechanisms (e.g., Identification, Authentication, Access Control, Accountability); and Security Mechanism Technology (Passwords, cryptography, discretionary access control, mandatory access control, hashing, key management, etc.) Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Active DoD Secret Clearance required This Jobot Job is hosted by: Dan Asher Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $95,000 - $115,000 per year A bit about us: We are a leading provider of information technology, logistics management, business process re-engineering, financial management, and administrative support services for the Department of the Navy and Homeland Security. We have an incredible team of engineers, analysts, and IT professionals ready to welcome you aboard! Software/Infrastructure Integration Engineer (Jr/mid Level, looking for 1-5 years of applicable experience including internships) Location: Manassas, VA Salary: $95,000 - $115,000 Why join us? Permanent, salaried position with benefits at a company with great employee longevity Great opportunity for career advancement! Annual profit sharing plan 401k with company match Vacation/PTO - 3 Weeks vacation is standard Comprehensive medical, dental, and vision from your first day! Streamlined interview process Job Details This position supports a naval mission-systems initiative focused on improving real-time awareness, coordination, and information sharing across distributed platforms. The technology integrates data from multiple sources to help operators assess conditions, plan missions, and make faster, more informed decisions in dynamic undersea and maritime environments. Overview This is a hands-on technical position ideal for an early-career engineer interested in the intersection of software, infrastructure, and defense systems. The role offers growth opportunities within a secure, mission-driven environment supporting advanced naval technologies. Position Summary We are seeking a proactive Junior Systems/Software Integration Engineer to assist with the deployment, configuration, and validation of complex software solutions across multiple computing environments. This early-career role combines elements of software integration, system testing, and DevOps support within an Agile framework. Primary Responsibilities Perform software integration and validation tasks in alignment with established DevOps processes Verify functional updates, apply patches, and conduct regression testing to confirm system stability across varied hardware and operating systems Identify, analyze, and resolve integration issues related to networking, virtualization, or software compatibility Capture test results and prepare supporting documentation consistent with Agile and DevOps reporting standards Participate in sprint planning, daily stand-ups, and retrospectives within a collaborative Agile team MUST HAVES Bachelor's degree in Computer Science, Software Engineering, Systems Engineering, Computer Engineering, or a related field At least 1 year experience working professionally in a DevOps enviornment Linux experience (RHEL) Experience/knowledge with setting up or managing Virtual Machines (this would not be a complete dealbreaker if candidate has experience in the majority of the rest) Python and/or Bash scripting skils Approximately 1-5 years of relevant technical experience (including internships or co-ops) Active Secret clearance with the U.S. Department of Defense at time of hire (Must be active, or have been active within 2 years so that it can be activated without a new investigation) NICE TO HAVES: Virtualization platforms such as oVirt, RHV, VMware vSphere/ESXI, or similar Experience with Kubernetes Containerization tools such as Docker or Podman or similar Version control and issue tracking tools such as Jira and Bitbucket Networking fundamentals including basic switch setup and configuration Public Key Infrastructure (PKI) certificate exchange, DoD cybersecurity standards, RMF, etc Vulnerability assessment or compliance scanning tools (e.g., ACAS or equivalent) Experience integrating and testing software within mixed hardware/software environments Exposure to continuous integration and automated testing frameworks Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
01/11/2026
Full time
Active DoD Secret Clearance required This Jobot Job is hosted by: Dan Asher Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $95,000 - $115,000 per year A bit about us: We are a leading provider of information technology, logistics management, business process re-engineering, financial management, and administrative support services for the Department of the Navy and Homeland Security. We have an incredible team of engineers, analysts, and IT professionals ready to welcome you aboard! Software/Infrastructure Integration Engineer (Jr/mid Level, looking for 1-5 years of applicable experience including internships) Location: Manassas, VA Salary: $95,000 - $115,000 Why join us? Permanent, salaried position with benefits at a company with great employee longevity Great opportunity for career advancement! Annual profit sharing plan 401k with company match Vacation/PTO - 3 Weeks vacation is standard Comprehensive medical, dental, and vision from your first day! Streamlined interview process Job Details This position supports a naval mission-systems initiative focused on improving real-time awareness, coordination, and information sharing across distributed platforms. The technology integrates data from multiple sources to help operators assess conditions, plan missions, and make faster, more informed decisions in dynamic undersea and maritime environments. Overview This is a hands-on technical position ideal for an early-career engineer interested in the intersection of software, infrastructure, and defense systems. The role offers growth opportunities within a secure, mission-driven environment supporting advanced naval technologies. Position Summary We are seeking a proactive Junior Systems/Software Integration Engineer to assist with the deployment, configuration, and validation of complex software solutions across multiple computing environments. This early-career role combines elements of software integration, system testing, and DevOps support within an Agile framework. Primary Responsibilities Perform software integration and validation tasks in alignment with established DevOps processes Verify functional updates, apply patches, and conduct regression testing to confirm system stability across varied hardware and operating systems Identify, analyze, and resolve integration issues related to networking, virtualization, or software compatibility Capture test results and prepare supporting documentation consistent with Agile and DevOps reporting standards Participate in sprint planning, daily stand-ups, and retrospectives within a collaborative Agile team MUST HAVES Bachelor's degree in Computer Science, Software Engineering, Systems Engineering, Computer Engineering, or a related field At least 1 year experience working professionally in a DevOps enviornment Linux experience (RHEL) Experience/knowledge with setting up or managing Virtual Machines (this would not be a complete dealbreaker if candidate has experience in the majority of the rest) Python and/or Bash scripting skils Approximately 1-5 years of relevant technical experience (including internships or co-ops) Active Secret clearance with the U.S. Department of Defense at time of hire (Must be active, or have been active within 2 years so that it can be activated without a new investigation) NICE TO HAVES: Virtualization platforms such as oVirt, RHV, VMware vSphere/ESXI, or similar Experience with Kubernetes Containerization tools such as Docker or Podman or similar Version control and issue tracking tools such as Jira and Bitbucket Networking fundamentals including basic switch setup and configuration Public Key Infrastructure (PKI) certificate exchange, DoD cybersecurity standards, RMF, etc Vulnerability assessment or compliance scanning tools (e.g., ACAS or equivalent) Experience integrating and testing software within mixed hardware/software environments Exposure to continuous integration and automated testing frameworks Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Bowhead / UIC Technical Services
Colorado Springs, Colorado
Overview Bowhead seeks a Wideband Watch Office (WBWO) Signal Analyst at Schriever Space Force Base. The Wideband Signals Analyst will be proficient in the duties of the Transmission Controller position at the Space Force's Wideband SATCOM Operations Centers (WSOC). The Wideband Watch Office provides oversight and monitoring of the Wideband SATCOM Operations and Management System Network (WSOMSNet) and engages Wideband SATCOM Operations Centers (WSOC) to maintain situational awareness of Wideband MILSATCOM's space-based assets and ground control infrastructure status. The Signal Analyst in the WBWO will report operational and maintenance issues to the Combined Space Operations Center (CSpOC). The WBWO utilizes the DOSS, CNPS, WRMS, and GTC3S as the primary tools to perform their oversight and monitoring tasks. Responsibilities • Shall provide Wideband Support as it relates to the duties of the Consolidated-Satellite Systems Expert (C-SSE). • Monitor and maintain Situational Awareness of all activities related to the WSOCs and RSSCs Reviewing proposed satellite command plans and provides troubleshooting assistance to the WSOCs, RSSCs, and SATCOM terminals. • Be familiar with and follow all Transmission Controller Operating Instructions contained in the Wideband Controllers Guide (WCG). • Review the Control Change Queue in CNPS; document changes to CNPS plans, Verify the performance of transmission links for all assigned satellites by using the WRMS. • Analyze appropriate 8-Hour Reports to verify transmission and terminal performance and status. Engage with WSOCs to perform adjustments necessary to achieve established operating parameters. Assist any WSOC in identifying, troubleshooting, and eliminating anomalous transmission and payload conditions. • Provide assistance with development and review of policy and procedural documents. • Report operational and maintenance issues to CSpOC, as required Perform all required reporting to the appropriate agencies. • Complete and submit DORs in accordance with the applicable guidance. • Coordinate enterprise terminal ASIs and emergency outages with appropriate agencies. • Review relevant DIMS Reports daily. • Review alarms for the past 24 hours in WRMS daily. • Complete and submit AARs in accordance with the applicable guidance. • Maintain situational awareness of WSOMS network using SolarWinds. • Assist with primary troubleshooting and anomaly resolution for all mission system within the WSOC's shift work providing 24 hours per day, 7 days a week, 365 days per year coverage support propagate a culture of safety in all aspects of the job. • Other duties as assigned Qualifications • A minimum of five (5) years Wideband Military SATCOM (WGS) planner, manager, and/or controller experience • Associate's Degree or higher in Electronics, Electrical Engineering, Computer Science, or equivalent. Note: 2 years of related experience may be substituted for 1 year of education. • 5 years' experience working as a military SATCOM controller. • Security+ or equivalent vendor certification is preferred. • Experience in the use of IT tools. • Ability to plan, implement, verify and troubleshoot local and wide-area enterprise networks. • Strong enterprise network troubleshooting (Cisco IOS(s), IP routing, EIGRP) Strong skill set with Microsoft Office software applications. • Demonstrated ability to work and grow in a dynamic, fast paced, team-oriented environment Support critical operations during standard and non-standard working hours • Active DoD TS/ SCI or TS with SCI/ Eligibility clearance Preferred Experience DoD 8570.01-M IAT Level 2 certification (e.g. Security + CE, CySA +, GICSP, GSEC, SSCP, CCNA Security, CND) • Experience implementing patches, scanning, remediating findings, auditing working knowledge of RMF and cybersecurity requirements • Previous experience supporting DoD/government customers • Ability to travel up to 10% SECURITY CLEARANCE REQUIREMENTS: Must currently hold a Top Secret security clearance with SCI access. Physical Demands: • Must be able to lift up to 25 pounds • Must be able to stand and walk for prolonged amounts of time • Must be able to twist, bend and squat periodically MN1
01/10/2026
Full time
Overview Bowhead seeks a Wideband Watch Office (WBWO) Signal Analyst at Schriever Space Force Base. The Wideband Signals Analyst will be proficient in the duties of the Transmission Controller position at the Space Force's Wideband SATCOM Operations Centers (WSOC). The Wideband Watch Office provides oversight and monitoring of the Wideband SATCOM Operations and Management System Network (WSOMSNet) and engages Wideband SATCOM Operations Centers (WSOC) to maintain situational awareness of Wideband MILSATCOM's space-based assets and ground control infrastructure status. The Signal Analyst in the WBWO will report operational and maintenance issues to the Combined Space Operations Center (CSpOC). The WBWO utilizes the DOSS, CNPS, WRMS, and GTC3S as the primary tools to perform their oversight and monitoring tasks. Responsibilities • Shall provide Wideband Support as it relates to the duties of the Consolidated-Satellite Systems Expert (C-SSE). • Monitor and maintain Situational Awareness of all activities related to the WSOCs and RSSCs Reviewing proposed satellite command plans and provides troubleshooting assistance to the WSOCs, RSSCs, and SATCOM terminals. • Be familiar with and follow all Transmission Controller Operating Instructions contained in the Wideband Controllers Guide (WCG). • Review the Control Change Queue in CNPS; document changes to CNPS plans, Verify the performance of transmission links for all assigned satellites by using the WRMS. • Analyze appropriate 8-Hour Reports to verify transmission and terminal performance and status. Engage with WSOCs to perform adjustments necessary to achieve established operating parameters. Assist any WSOC in identifying, troubleshooting, and eliminating anomalous transmission and payload conditions. • Provide assistance with development and review of policy and procedural documents. • Report operational and maintenance issues to CSpOC, as required Perform all required reporting to the appropriate agencies. • Complete and submit DORs in accordance with the applicable guidance. • Coordinate enterprise terminal ASIs and emergency outages with appropriate agencies. • Review relevant DIMS Reports daily. • Review alarms for the past 24 hours in WRMS daily. • Complete and submit AARs in accordance with the applicable guidance. • Maintain situational awareness of WSOMS network using SolarWinds. • Assist with primary troubleshooting and anomaly resolution for all mission system within the WSOC's shift work providing 24 hours per day, 7 days a week, 365 days per year coverage support propagate a culture of safety in all aspects of the job. • Other duties as assigned Qualifications • A minimum of five (5) years Wideband Military SATCOM (WGS) planner, manager, and/or controller experience • Associate's Degree or higher in Electronics, Electrical Engineering, Computer Science, or equivalent. Note: 2 years of related experience may be substituted for 1 year of education. • 5 years' experience working as a military SATCOM controller. • Security+ or equivalent vendor certification is preferred. • Experience in the use of IT tools. • Ability to plan, implement, verify and troubleshoot local and wide-area enterprise networks. • Strong enterprise network troubleshooting (Cisco IOS(s), IP routing, EIGRP) Strong skill set with Microsoft Office software applications. • Demonstrated ability to work and grow in a dynamic, fast paced, team-oriented environment Support critical operations during standard and non-standard working hours • Active DoD TS/ SCI or TS with SCI/ Eligibility clearance Preferred Experience DoD 8570.01-M IAT Level 2 certification (e.g. Security + CE, CySA +, GICSP, GSEC, SSCP, CCNA Security, CND) • Experience implementing patches, scanning, remediating findings, auditing working knowledge of RMF and cybersecurity requirements • Previous experience supporting DoD/government customers • Ability to travel up to 10% SECURITY CLEARANCE REQUIREMENTS: Must currently hold a Top Secret security clearance with SCI access. Physical Demands: • Must be able to lift up to 25 pounds • Must be able to stand and walk for prolonged amounts of time • Must be able to twist, bend and squat periodically MN1
Bering Straits Native Corporation
Falls Church, Virginia
About Arcticom, LLC Offering a broad range of information technology solutions, Arcticom, LLC provides network and systems administration, enterprise architecture and resource planning, certification and accreditation, software design, programming, maintenance of telecommunications and land mobile radio equipment and systems, help desk support and IT transformation services among other services. About this position: Systems Engineer III - Remote The Essential Duties and Responsibilities are intended to present a descriptive list of the range of duties performed for this position and are not intended to reflect all duties performed within the job. Other duties may be assigned. To perform this job successfully, an individual must be able to satisfactorily perform each essential duty. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the position. Applicants will be contacted via phone or email within ten (10) business days of submittal. Essential Duties & Responsibilities • Contract Support o Data and reporting: Assist with writing, collecting, and processing data related to contracts. Develop reports for management, such as web usage and system-related metrics. User Support and Documentation : Provide consulting services and SME support to address functional and technical user inquiries. Develop and update Standard Operating Procedures (SOPs) and contribute to the Continuous Training Plan. Troubleshooting and Problem Resolution : Serve as the primary point of contact for end-users encountering technical issues with contracting systems. Troubleshoot and resolve problems to minimize downtime and maintain operational efficiency. Maintain no more than two validated customer complaints per month for system administration, data exchange, and report development tasks. End-of-Year Surge Support : Provide additional support during the September surge period, up to 100 hours, to meet fiscal year-end requirements. • DLA's ECWM Migration : handle contracts with 16 or more CLIN/SLINs, 15 or less, with User recreating the doc in ECWM, for DLA renumbering the PIID to original PIID for migrating and instruction provided by CACI employees Data Migration : Support manual and system-to-system data migrations from external offices to ECWM, ensuring accuracy and compliance. System Administration and Operations : Configure and update software and system settings to support specific contracting plans, policies, and workflows. Perform upgrades, implement security patches, and perform system monitoring. Training Support : Deliver on-the-job and online training for contract specialists, develop Job Aids and Quick Reference Guides for complex procedures, and ensure training aligns with ECWM SOPs. Ensure training sessions result in no more than one validated customer complaint per session USUHS Support : Assist with ECWM functional administration for the Uniformed Services University of the Health Sciences (USUHS). Compliance : Adhere to DHA cybersecurity requirements, including DoD 8570.01-M certifications, and protect Controlled Unclassified Information (CUI), Personally Identifiable Information (PII), and Protected Health Information (PHI). Implement security best practices and ensure compliance with federal cybersecurity standards, including the Defense Federal Acquisition Regulation Supplement (DFARS). Organizational Meeting Support : Participate in working groups as an SME, prepare presentation materials, and document meeting outcomes, including issues, conclusions, and action items. Required (Minimum Necessary) Qualifications • Education Requirements: Bachelor's degree in business, management, acquisition, accounting, business/administration, finance, or related field. • Minimum Level of Experience Requirements: Expert understanding of government contracting, writing and revising government contracts (DHA preferred) and acquisition processes, to include Federal Acquisition Regulation (FAR) and DFARS; Minimum of three (3) years' experience as systems engineer providing technical and functional administration support for DHA; Experience with Contracting Information Technology (CON-IT) or Procurement Desktop Defense (PD2) preferred. • Must be able to obtain and maintain DoD-approved Information Assurance (IA) certifications per DoD 8570.01-M for IA technical positions. • Must pass the mandatory background investigation and the security awareness training and comply with DHA Personnel Security Office guidelines. Knowledge, Skills, Abilities, and Other Characteristics • Strong analytical and problem-solving skills for troubleshooting and process optimization. • Attention to detail and ability to set forth strong interpersonal team player practices. • Excellent communication skills for training, user support, and meeting facilitation. • Ability to develop reports and documentation using organizational best practices. • Ability to adapt to a high pace, rapidly changing environment and the ability to manage multiple projects. Preferred • Possess experience in government contract writing • Familiar or experienced with DHACA's DASH System/DHACA's processes • Have solid background and experience with DoD's regs Necessary Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Employees must always maintain a constant state of mental alertness. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Essential and marginal functions may require availability of excess/overtime hours as required by the customer during surge periods, maintaining physical condition necessary for bending, stooping, sitting, walking or standing for prolonged periods of time; most of time is spent sitting in a comfortable position with frequent opportunity to move about. DO NOT DELETE THE PREVIOUS PARAGRAPH DESCRIPTION REQURIED FOR APPLICANT VISABLITY. Work Environment Work Environment characteristics described here are representative of those that must be borne by an employee to successfully perform the essential functions of this job. The job is a remote position with exposure to computer screens and requires extensive use of a computer, keyboard, mouse, and multi-line telephone system. Occasional travel may be required. DO NOT DELETE THE PREVIOUS PARAGRAPH DESCRIPTION REQURIED FOR APPLICANT VISABLITY. Schedule and Flexibility: Occasionally workload may require longer work hours, if necessary. Shareholder Preference BSNC gives hiring, promotion, training, and retention preference to BSNC shareholders, shareholder descendants and shareholder spouses who meet the minimum qualifications for the job. Bering Straits Native Corporation is an equal opportunity employer. All applicants will receive consideration for employment without regard to any status protected by state or federal law, or any other basis prohibited by law.
01/10/2026
Full time
About Arcticom, LLC Offering a broad range of information technology solutions, Arcticom, LLC provides network and systems administration, enterprise architecture and resource planning, certification and accreditation, software design, programming, maintenance of telecommunications and land mobile radio equipment and systems, help desk support and IT transformation services among other services. About this position: Systems Engineer III - Remote The Essential Duties and Responsibilities are intended to present a descriptive list of the range of duties performed for this position and are not intended to reflect all duties performed within the job. Other duties may be assigned. To perform this job successfully, an individual must be able to satisfactorily perform each essential duty. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the position. Applicants will be contacted via phone or email within ten (10) business days of submittal. Essential Duties & Responsibilities • Contract Support o Data and reporting: Assist with writing, collecting, and processing data related to contracts. Develop reports for management, such as web usage and system-related metrics. User Support and Documentation : Provide consulting services and SME support to address functional and technical user inquiries. Develop and update Standard Operating Procedures (SOPs) and contribute to the Continuous Training Plan. Troubleshooting and Problem Resolution : Serve as the primary point of contact for end-users encountering technical issues with contracting systems. Troubleshoot and resolve problems to minimize downtime and maintain operational efficiency. Maintain no more than two validated customer complaints per month for system administration, data exchange, and report development tasks. End-of-Year Surge Support : Provide additional support during the September surge period, up to 100 hours, to meet fiscal year-end requirements. • DLA's ECWM Migration : handle contracts with 16 or more CLIN/SLINs, 15 or less, with User recreating the doc in ECWM, for DLA renumbering the PIID to original PIID for migrating and instruction provided by CACI employees Data Migration : Support manual and system-to-system data migrations from external offices to ECWM, ensuring accuracy and compliance. System Administration and Operations : Configure and update software and system settings to support specific contracting plans, policies, and workflows. Perform upgrades, implement security patches, and perform system monitoring. Training Support : Deliver on-the-job and online training for contract specialists, develop Job Aids and Quick Reference Guides for complex procedures, and ensure training aligns with ECWM SOPs. Ensure training sessions result in no more than one validated customer complaint per session USUHS Support : Assist with ECWM functional administration for the Uniformed Services University of the Health Sciences (USUHS). Compliance : Adhere to DHA cybersecurity requirements, including DoD 8570.01-M certifications, and protect Controlled Unclassified Information (CUI), Personally Identifiable Information (PII), and Protected Health Information (PHI). Implement security best practices and ensure compliance with federal cybersecurity standards, including the Defense Federal Acquisition Regulation Supplement (DFARS). Organizational Meeting Support : Participate in working groups as an SME, prepare presentation materials, and document meeting outcomes, including issues, conclusions, and action items. Required (Minimum Necessary) Qualifications • Education Requirements: Bachelor's degree in business, management, acquisition, accounting, business/administration, finance, or related field. • Minimum Level of Experience Requirements: Expert understanding of government contracting, writing and revising government contracts (DHA preferred) and acquisition processes, to include Federal Acquisition Regulation (FAR) and DFARS; Minimum of three (3) years' experience as systems engineer providing technical and functional administration support for DHA; Experience with Contracting Information Technology (CON-IT) or Procurement Desktop Defense (PD2) preferred. • Must be able to obtain and maintain DoD-approved Information Assurance (IA) certifications per DoD 8570.01-M for IA technical positions. • Must pass the mandatory background investigation and the security awareness training and comply with DHA Personnel Security Office guidelines. Knowledge, Skills, Abilities, and Other Characteristics • Strong analytical and problem-solving skills for troubleshooting and process optimization. • Attention to detail and ability to set forth strong interpersonal team player practices. • Excellent communication skills for training, user support, and meeting facilitation. • Ability to develop reports and documentation using organizational best practices. • Ability to adapt to a high pace, rapidly changing environment and the ability to manage multiple projects. Preferred • Possess experience in government contract writing • Familiar or experienced with DHACA's DASH System/DHACA's processes • Have solid background and experience with DoD's regs Necessary Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Employees must always maintain a constant state of mental alertness. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Essential and marginal functions may require availability of excess/overtime hours as required by the customer during surge periods, maintaining physical condition necessary for bending, stooping, sitting, walking or standing for prolonged periods of time; most of time is spent sitting in a comfortable position with frequent opportunity to move about. DO NOT DELETE THE PREVIOUS PARAGRAPH DESCRIPTION REQURIED FOR APPLICANT VISABLITY. Work Environment Work Environment characteristics described here are representative of those that must be borne by an employee to successfully perform the essential functions of this job. The job is a remote position with exposure to computer screens and requires extensive use of a computer, keyboard, mouse, and multi-line telephone system. Occasional travel may be required. DO NOT DELETE THE PREVIOUS PARAGRAPH DESCRIPTION REQURIED FOR APPLICANT VISABLITY. Schedule and Flexibility: Occasionally workload may require longer work hours, if necessary. Shareholder Preference BSNC gives hiring, promotion, training, and retention preference to BSNC shareholders, shareholder descendants and shareholder spouses who meet the minimum qualifications for the job. Bering Straits Native Corporation is an equal opportunity employer. All applicants will receive consideration for employment without regard to any status protected by state or federal law, or any other basis prohibited by law.