592 jobs found

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.

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.

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.

Senior Engineer / Cloud Native / Architecture / Financial Services This Jobot Job is hosted by: Katrina McFillin Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $165,000 - $185,000 per year A bit about us: We provide technology-enabled wealth management platforms and middle- and back-office services to independent financial advisory firms serving high-net-worth and ultra-high-net-worth clients. We help advisors launch and scale independent RIAs through services such as technology and CRM infrastructure, investment and operations support, marketing, practice management, and access to capital and M&A/investment banking capabilities. Why join us? We combine competitive compensation and equity participation with strong benefits, professional development budgets, and recognition as a "Best Places to Work" in the St. Petersburg/Tampa Bay market. In addition, we are a mission-driven, growth-focused environment supporting independent RIAs, with an emphasis on integrity, community involvement, and opportunities to help scale a leading wealth management platform and investment bank dedicated to advisory firms. Premium Health, Dental, and Vision Insurance for you and your family Generous Bonus Unlimited PTO 401(k) + Company Match This is an in-office opportunity in St. Pete Job Details You will be joining a team of engineers to identify, develop, and implement product and technology-based solutions to increase operational efficiency, improve accuracy, and support platform adoption. You are someone who has experience building client-facing end-to-end cloud-native platforms utilizing the Microsoft stack and Azure. You will initially be tasked with evaluating the current platform architecture from a tactical level and determining opportunities for code optimization and improving the overall code base and architecture of the platform. You will then transition into building new features and designing systems, and integrating with the product team to ensure delivery of applications and platform updates. We are looking for a self-starter who is passionate about their craft and wants to continue to improve and build client facing platform in the financial services industry. This is an in-office position in St. Pete, FL. 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.

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.

This Jobot Job is hosted by: Christina Finster Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $160,000 - $180,000 per year A bit about us: Our client is a direct-to-consumer e-commerce company in the lawn care industry, utilizing cutting-edge data anayalsis. Why join us? A mission-driven company focused on sustainability and innovation. A remote-first culture with flexibility and autonomy. A collaborative and supportive team environment. Competitive salary, equity, and benefits. If you're passionate about building great software and want to work on products that make a positive environmental impact, we'd love to hear from you Job Details We are seeking a talented and experienced Senior or Staff Frontend Engineer to help shape the future of our digital products. This is an opportunity to have a major impact on our technology stack, user experience, and engineering culture as we continue to scale. You will work closely with a cross-functional team of designers, product managers, and front-end and back-end engineers to build high-quality, performant, and scalable web applications. REQUIREMENT: You must reside in one of the following states: AR, CA, CO, CT, HI, MA, ME, Mi, MN, MO, NC, NV, NY, OK, PA, TX, UT, VT, or WA. What You'll Do Build: Develop and maintain customer-facing React applications across our e-commerce platform, internal customer experience portal, and main website. Lead Development: Drive the development of new product features from concept to launch, ensuring high-quality implementation and user experience. Design & Architect: Build scalable, high-performance frontend architectures that seamlessly integrate with backend APIs. Technical Decision-Making: Evaluate trade-offs between different solutions and make informed technical choices that align with business and user needs. Mentorship: Support other engineers through code reviews, pair programming, and technical guidance. Collaboration: Work closely with Product, Design, and Backend teams to deliver cohesive and intuitive user experiences. Process Improvement: Contribute to enhancing development processes, best practices, data-driven decisions, and engineering culture. What We're Looking For Proven React Experience: 5+ years of professional experience building and engineering exceptional user interfaces and pages using React. Must have a strong grasp of data structure, best practices, scalable patterns, and performance optimization. Design Intuition: Strong understanding of user experience and visual design principles. Technical Leadership: Experience leading frontend initiatives, making architectural decisions, bridging the gap between FE and existing BE systems, and mentoring team members. Backend Experience: Comfort working with Python, Django, and FastAPI, with the ability to build and interact with APIs effectively. Proven track record of contributing to Python projects in a professional capacity. Startup Mentality: Comfortable in a fast-paced, high-growth environment where adaptability and problem-solving are key. Key Strengths: Persistence, intelligence, creativity, flexibility, passion, humility, curiosity, and professionalism. Communication, soft skills, ability to effectively participate in discussions Bonus Points - We'd Be Really Impressed If You Have: Experience working with Kubernetes, Argo, and Google Cloud Platform. A track record of building full-stack applications from scratch, making technical decisions that balance performance, maintainability, and scalability. Familiarity with infrastructure as code and DevOps best practices. 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.

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.

Senior DevSecOps/SRE WHO WE ARE: At HHS Tech Group (HTG), our work matters, and each of us makes a difference in the lives of people every day. HTG is a leader in the development and delivery of innovative, purpose-built modular software and technology solutions to clients in the commercial and government sectors. WHAT WE DO: HHS Tech Group creates innovative, purpose-built technology products and solutions, resulting in value and positive, quantifiable impact for our clients and the people they serve. Our people bring our software to life through collaborative relationships with our clients, working as a team, helping to solve complex problems that create positive personal and community impact for the people our clients serve. Each day, our software products and our people are making a difference. OUR PEOPLE MATTER MOST: Improving the lives of others and making an impact daily is no simple task. We are dedicated to our team's professional and personal growth and well-being. Some key rewards and benefits include: Generously sponsored Medical Insurance Fully paid premiums on dental, vision, life, and disability insurance. Generous 401k matching program (100% match up to 6%) Tuition and Certification reimbursement Open PTO policy Join us! WHO WE ARE HIRING: Sr DevOps/SRE WHAT YOU WILL DO: HHS Technology Group seeking an experienced and highly skilled Senior DevOps/SRE Engineer to join our engineering team. The ideal candidate will play a key role in automating, scaling, and optimizing our development and production environments. The ideal candidate will have a strong background in managing Kubernetes clusters, virtual machines, and possess the ability to lead and mentor a team. This individual will play a crucial role in optimizing our deployment processes, enhancing system reliability, and shaping the infrastructure architecture. Experience in networking, Agile methodologies, continuous integration, and continuous deployment (CI/CD),and AWS cloud services. ESSENTIAL RESPONSIBILITES: CI/CD Management : Design, implement, and manage Continuous Integration and Continuous Deployment pipelines using tools like Jenkins, GitLab, ArgoCD, SonarQube, Frog Antifactory, Azure DevOps. Infrastructure as Code (IaC) : Use tools such as Terraform, CloudFormation, or Ansible to provision, manage, and maintain cloud and on-prem infrastructure. Cloud Infrastructure : Build and manage scalable infrastructure on AWS and Azure Platform. Security & Compliance : Implement security best practices, including secrets management, vulnerability scanning, and access controls. Collaboration : Work closely with development teams to understand requirements and ensure system reliability and performance. Incident Management : Participate in on-call rotations and assist in root cause analysis and post-mortem processes. Performance Tuning : Analyze and optimize system performance and scalability. Automation : Automate repetitive tasks and workflows to increase team efficiency. Manage networking configurations and security protocols within Kubernetes environments to ensure optimal communication and data flow. Drive the adoption of Agile methodologies, enabling rapid development, iteration, and delivery of software projects. Utilize AWS cloud services to architect, deploy, and optimize cloud-based solutions, ensuring cost-effectiveness and scalability. Investigate and troubleshoot production incidents, applying root cause analysis and implementing corrective actions. Collaborate with cross-functional teams to gather requirements, define infrastructure needs, and align technical solutions with business goals. Stay up to date with industry trends, best practices, and emerging technologies, integrating relevant advancements into the DevOps process. MINIMUM QUALIFICATIONS: 5+ year's experience in Kubernetes administration, including cluster provisioning, deployment, scaling, and cloud cost management. 5+ year's experience in Kubernetes networking management, including concepts, protocols, and security practices within Kubernetes environments 3+ year's experience with AWS cloud services and infrastructure architecture 3+ year's experience with Linux System Administration 3+ year's experience with Application Monitoring using Observability tools such as: Prometheus, Grafana, NewRelic or ELK 3+ year's experience working in Agile development teams 3+ year's experience working with CI/CD pipeline tools such as: Jenkins, GitLab, GitHub Actions or Azure DevOps. 2+ year's experience using Docker for container deployments 2+ years experience with automation pipelines using Java. Bachelor's degree in computer science, Information Technology, or a related field (or equivalent experience) Leadership capabilities demonstrated through previous team leadership roles Strong communication and collaboration skills, able to effectively convey complex technical concepts to both technical and non-technical stakeholders. DESIRED SKILLS: Excellent problem-solving skills and a proactive attitude towards identifying and resolving technical challenges. Strong communication and collaboration skills, able to effectively convey complex technical concepts to both technical and non-technical stakeholders. Certifications such as Certified Kubernetes Administrator (CKA), AWS Certified DevOps Engineer, and relevant networking certifications are a plus.

Build next-gen FPGA systems that power global connectivity. We're hiring a Senior Digital Design Engineer to design high-speed, low-power signal processing hardware. This Jobot Job is hosted by: Tarek Hamzeh Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $150,000 - $180,000 per year A bit about us: We're seeking a Senior Digital Design Engineer to lead the architecture and implementation of advanced FPGA-based systems for real-time signal processing and communication applications. You'll work on high-performance, low-power designs that enable next-generation connectivity across a global network of devices. In this role, you'll collaborate with cross-functional teams of hardware, software, and systems engineers to design, validate, and optimize FPGA modules responsible for localization, decoding, and data transfer. Your contributions will directly influence system performance, scalability, and reliability in a rapidly evolving environment. Why join us? Salary: $150K - $180K (based on experience) Comprehensive Benefits: Health, Dental, Vision, HSA options Unlimited PTO and flexible time off Paid Parental Leave Learning & Development Stipend Wellness Support: Monthly health & fitness allowance Sabbatical Program: Recharge and explore new ideas after five years Cutting-Edge Hardware: Work on advanced digital and space-based communication systems Additional Perks: Team offsites, company swag, and more Job Details Key Responsibilities Design, develop, and verify RTL code (Verilog/SystemVerilog) for real-time digital signal processing systems. Implement packet decoders and communication protocol logic (e.g., Bluetooth Low Energy, ZigBee, LoRa, or custom PHYs). Integrate high-speed memory interfaces (DDR/DDR3/DDR4) and serial interfaces (LVDS, SPI, I2C, UART, JESD204, PCIe, Ethernet). Perform synthesis, timing closure, and resource optimization on FPGA platforms (Xilinx or Intel/Altera). Collaborate with RF, firmware, and systems engineers to optimize end-to-end communication performance. Conduct system-level analysis and simulation to ensure signal integrity, throughput, and latency targets are met. Develop testbenches, verification suites, and automation scripts (Python, Tcl). Drive system-level reviews and contribute to architecture decisions across hardware and embedded systems. Qualifications Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or related field. 5+ years of experience in FPGA design and real-time signal processing. Proficiency in Verilog/SystemVerilog, digital communication systems, and DSP fundamentals (filtering, correlation, fixed-point arithmetic). Experience with high-speed memory and serial communication interfaces. Strong background in FPGA synthesis, simulation, and performance optimization. Familiarity with simulation and verification tools (ModelSim, Questa, Vivado, VUnit). Skilled in scripting and automation (Python, Tcl). Ability to work independently in a fast-paced, collaborative engineering environment. Excellent communication and cross-functional collaboration skills. Preferred Experience Designing distributed DSP systems across multiple FPGAs or compute nodes. Integration of soft-core or hard-core processors (ARM, RISC-V) and embedded Linux environments (e.g., PetaLinux). Experience with synchronization techniques (preamble detection, timing recovery, frequency offset correction). Familiarity with lab instrumentation for validation and debugging (oscilloscopes, logic analyzers, RF tools). Knowledge of low-power digital design and space-grade reliability techniques. Understanding of short-range RF communication standards such as Bluetooth Low Energy. 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:

Job ID: 707236BR Date posted: Jan. 09, 2026 Description:Space is a critical domain, connecting our technologies, our security and our humanity. While others view space as a destination, we see it as a realm of possibilities, where we can do more - we can innovate, invest, inspire and integrate our capabilities to transform the future. At Lockheed Martin Space, we aim to harness the full potential of space to cultivate innovation, reduce costs, and push the boundaries of what technology can achieve. We're creating future-ready solutions, focusing on resiliency and urgency through our 21st Century Security vision. We're erasing boundaries and forming partnerships across industries and around the world. We're advancing spacecraft and the workforce to fuel the next generation. And we're reimagining how space can connect us, ensuring security and prosperity. Join us in shaping a new era in space and find a career that's built for you. Within LM Space, the Black Canyon Program is looking for a highly motivated individual to join the program area as a Senior Software Engineer to support the development team. As part of an Agile team, you will have the opportunity to work on a variety of tasks in various areas across the mission and collaborate with the development teams, customers, and subject matter experts. If you are looking for a challenging, collaborative, fast paced environment then this is the position for you. Note: This position requires a government security clearance, US citizenship is a requirement for consideration. In this position you will: Serve as a software developer on an Agile team developing web applications in an open architecture infrastructure to serve in an exciting new mission space. Leverage industry standard open-source software solutions such as GitLab, Kubernetes, Docker, or similar platforms/products. Maintain Kubernetes clusters, create and automate deployment of containers using Helm, and support agile development teams by developing and maintaining tools, pipelines, scripts, and environments. Participate in daily scrums, software sprint/release planning, demos, and retrospectives. Develop & demonstrate software capabilities to both internal and external partners. Basic Qualifications: Experienced in software development using at least one of the following programming or scripting languages: Java, JavaScript, C, C#, Python Experience working in an Agile development environment, including tools such as Jira and Confluence Must have an current, active Top Secret clearance Desired Skills: • Full development lifecycle experience • Experience with the frameworks .NET Core and Angular • Experience working as a member of an Agile Scrum or Kanban team • Experience with databases (PostgreSQL & Redis) • Experience with GitLab CI/CD - Deployment pipelines, automated build, and/or configuration tools • Experience will cloud native development (Docker, Kubernetes, Helm) • Experience with containerization and container management tools (e.g. Docker, Kubernetes) • Experience with DevSecOps • Experience with Git, JIRA, Confluence • Ability to communicate effectively and work in a collaborative environment • Familiarity with the Space Domain • Experience producing quality documentation Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration. Clearance Level: TS/SCI Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 9x80 every other Friday off Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Experience Level: Experienced Professional Business Unit: SPACE Relocation Available: Possible Career Area: Software Engineering Type: Full-Time Shift: First

Job SummaryAs part of the Cox Automotive family, Central Dispatch is evolving the nation's largest self-managed auto transportation platform. Our logistics solutions connect shippers with a nationwide network of carriers, enabling vehicles to move efficiently across the country.The Lead Software Engineer applies secure software engineering principles to the design, development, testing, maintenance, and evaluation of software and cloud infrastructure. This role operates as a senior technical expert who leads through influence rather than people management. Lead Engineers contribute to architecture, guide engineering practices across teams, and ensure systems are built for scalability, resilience, and long-term maintainability. The role also incorporates responsible use of AI-assisted development tools to improve design, coding, testing, troubleshooting, and documentation across the SDLC.Lead Engineers elevate engineering standards, support cross-team alignment, mentor engineers at multiple levels, and contribute heavily to the evolution of the Central Dispatch platform.Our TeamsCox Automotive's Central Dispatch teams are based primarily in Atlanta, GA. We have cultivated a group of versatile, hardworking, and creative team members with diverse skill sets who can adapt to the rapid changes in the automotive and technology industries. We are committed to supporting our logistics businesses and building for the future with a best-in-class platform.Primary Duties and Key ResponsibilitiesLead team efforts to design, develop, test, and document complex software systems and applications, incorporating AI-assisted tools into daily workflows to improve accuracy and reduce manual workload while ensuring all AI output is validated.Provide technical and procedural guidance to engineers within the team and across adjacent teams, including coaching on responsible AI usage, prompt strategies, and verification of AI-generated artifacts.Collaborate with analysts, engineers, architects, and product partners to design highly complex systems, using both personal knowledge and AI-supported exploration to evaluate architectural options or tradeoffs.Support multiple teams by reviewing designs, advising on solution approaches, and offering AI-enabled research, code analysis, and prototyping support.Break down functional and business requirements into clear implementation plans and estimations, integrating AI tools to explore solution space and improve estimation accuracy.Write high-quality, maintainable code and comprehensive automated tests for complex system components. Use AI to support test generation, refactoring, or documentation while validating quality and security.Evaluate secure coding practices and recommend improvements, including using AI-enabled scanning and analysis tools to identify vulnerabilities or code quality concerns.Ensure quality, performance, stability, observability, and adherence to specifications across team deliverables. Combine human expertise with AI analysis to detect bottlenecks or improvement opportunities.Drive modernization of legacy systems by guiding refactoring, migration planning, and solution redesign, leveraging AI tools to analyze legacy code and propose clearer patterns.Define and recommend metrics that improve engineering quality, cycle time, reliability, and operational performance, including metrics related to AI-assisted development.Present architectural decisions, system changes, and technical topics to peers, leadership, and partners, incorporating insights from AI-generated analysis when appropriate.Promote adoption of modern engineering practices, including cloud-native patterns, automated testing, observability, and responsible AI-enabled development workflows.Mentor Software Engineers I, II, and Senior Engineers, helping them develop stronger engineering skills, sound judgment, and effective use of AI in their workflow.Share insights, refined prompts, and lessons learned from AI-assisted development to help strengthen team and organizational standards.Required Experience, Knowledge, and SkillsBachelor's degree in a related discipline and 6 years of experience in a related field, or equivalent combinations such as a master's degree and 4 years of experience, a PhD and 1 year of experience, or 18 years of experience with no degree.Skilled in analytical thinking, requirements analysis, technical troubleshooting, system and technology integration, and secure cloud-native development.Strong hands-on development experience with modern programming languages, frameworks, and distributed system architectures.Demonstrated ability to evaluate complex technical problems, design scalable and maintainable solutions, and guide implementation across multiple teams.Skilled in building partnerships, driving innovation, focusing on execution, and striving for engineering excellence.Strong communication skills with the ability to influence decisions, explain complex engineering concepts, and lead technical discussions across teams.Proven ability to mentor, guide, and level up engineers while supporting cross-team technical alignment.USD 122 400.00 per yearCompensation:Compensation includes a base salary of $122,600.00 - $204,400.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.Benefits:The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.

Job SummaryAs part of the Cox Automotive family, Central Dispatch is evolving the nation's largest self-managed auto transportation platform. Our logistics solutions connect shippers with a nationwide network of carriers, enabling vehicles to move efficiently across the country.The Senior Software Engineer applies secure software engineering principles to the design, development, testing, maintenance, and evaluation of software and cloud infrastructure. This role independently delivers complex features, supports architectural decisions, and ensures systems are built for scalability, resilience, and long-term maintainability. Senior Engineers also use AI-assisted development tools to accelerate design, coding, testing, and troubleshooting across the SDLC, ensuring all AI-generated output is reviewed and validated to meet engineering standards.This position emphasizes strong software craftsmanship, cross-team collaboration, continuous improvement, and mentoring less experienced engineers. Senior Software Engineers help guide technical practices within the team and contribute meaningfully to the evolution of the Central Dispatch platform.Our TeamsCox Automotive's Central Dispatch teams are based primarily in Atlanta, GA. We have cultivated a group of versatile, hardworking, and creative team members with diverse skill sets who can adapt to the rapid changes in the automotive and technology industries. We are committed to supporting our logistics businesses and building for the future with a best-in-class platform.Primary Duties and Key ResponsibilitiesServe as a contributing engineer on teams responsible for delivering complex product features and system enhancements, incorporating AI-assisted development tools into daily workflows to increase effectiveness and reduce manual effort.Break down functional and business requirements into clear, estimable technical tasks, using both traditional analysis and AI-enabled exploration to evaluate complexity and potential implementation paths.Write high-quality, maintainable code along with end-to-end automated tests for business-critical components. Use AI responsibly to support test generation, documentation, and refactoring tasks while validating all output.Ensure quality, performance, observability, security, and adherence to specifications for assigned development tasks and adjacent systems. Use AI-supported analysis tools to detect vulnerabilities, code-quality issues, or performance bottlenecks.Work with fellow engineers to ensure design and implementation decisions align with architectural standards, system constraints, and long-term platform strategy.Evaluate alternative technical approaches and provide input on patterns, frameworks, and secure coding practices, including leveraging AI to compare solution options or analyze tradeoffs.Troubleshoot complex issues using a combination of traditional debugging, log analysis, and AI-assisted root-cause exploration to accelerate diagnosis and remediation.Contribute to modernization efforts by refactoring legacy components, supporting migration plans, and using AI tools to analyze older code and propose updated patterns.Help define, promote, and support team coding standards, development patterns, and best practices, including proper use of AI in development workflows.Provide informal technical leadership and mentorship to Software Engineers I and II, including coaching them on responsible AI usage, prompt strategies, and validation techniques.Document processes, designs, and best practices and leverage AI tools when appropriate to improve clarity, consistency, and (link removed)municate status, risks, and technical considerations clearly to teammates, managers, and product stakeholders.Contribute insights and improvements from prompt experimentation and AI-augmented workflows to help refine team standards and engineering practices.Required Experience, Knowledge, and SkillsApplicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future.Bachelor's degree in a related discipline and 4 years of experience in a related field, or equivalent combinations such as a master's degree and 2 years of experience, a PhD and 1 year of experience, or 16 years of experience with no degree.Skilled in analytical thinking, requirements analysis, technical troubleshooting, software installation and support, and system or technology integration.Strong hands-on development experience using modern programming languages, frameworks, and cloud-based architectures.Proven ability to evaluate technical requirements, design maintainable solutions, and deliver high-quality implementations that support system scalability and reliability.Skilled in building partnerships, driving innovation, focusing on execution, and striving for excellence in engineering.USD 101 100.00 per yearCompensation:Compensation includes a base salary of $101,500.00 - $169,100.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.Benefits:The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.

Company Description Adtalem Global Education is a national leader in post-secondary education and leading provider of professional talent to the healthcare industry. Adtalem educates and empowers students with the knowledge and skills to become leaders in their communities and make a lasting impact on public health, well-being and beyond. Through equitable access to education, environments that nurture student success, and a focus on expanding and diversifying the talent pipeline in healthcare, Adtalem is building a brighter future for communities and the world. Adtalem is the parent organization of American University of the Caribbean School of Medicine, Chamberlain University, Ross University School of Medicine, Ross University School of Veterinary Medicine and Walden University. We operate on a hybrid schedule with four in-office days per week (Monday-Thursday). This approach enhances creativity, innovation, communication, and relationship-building, fostering a dynamic and collaborative work environment. Visit for more information and follow us on LinkedIn and Instagram . Job Description Adtalem is a data driven organization. The Data Engineering team builds data solutions that powers strategic and tactical business decisions and supports the Analytics and Artificial Intelligence operations. By implementing the data platform, data pipelines and data governance policies this team provides the basis for decision-making in Adtalem. Adtalem is looking for a Senior Data Engineer who design, build, and maintain robust data engineering solutions that support our company's innovation initiatives and growth objectives. Architect, develop, and optimize scalable data pipelines handling real-time, unstructured, and synthetic datasets Collaborate with cross-functional teams, including data scientists, analysts, and product owners, to deliver innovative data solutions that drive business growth. Design, develop, deploy and support high performance data pipelines both inbound and outbound. Model data platform by applying the business logic and building objects in the semantic layer of the data platform. Leverage streaming technologies and cloud platforms to enable real-time data processing and analytics Optimize data pipelines for performance, scalability, and reliability. Implement CI/CD pipelines to ensure continuous deployment and delivery of our data products. Ensure quality of critical data elements, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root. Document the design and support strategy of the data pipelines Capture, store and socialize data lineage and operational metadata Troubleshoot and resolve data engineering issues as they arise. Develop REST APIs to expose data to other teams within the company. Stay current with emerging technologies and industry trends related to big data, streaming data, and synthetic data generation Mentor and guide junior data engineers. Qualifications Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field. Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field. Two (2) plus years experience in Google cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows,BQML, Vertex AI. Six (6) plus years experience in data engineering solutions such as data platforms, ingestion, data management, or publication/analytics. Hands-on experience working with real-time, unstructured, and synthetic data, and will be instrumental in advancing our data platform capabilities. Experience in Real Time Data ingestion using GCP PubSub, Kafka, Spark or similar. Expert knowledge on Python programming and SQL. Experience with cloud platforms (AWS, GCP, Azure) and their data services Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed. Familiarity with synthetic data generation and unstructured data processing Experience in AI/ML data pipelines and frameworks Excellent organizational, prioritization and analytical abilities. Have proven experience working in incremental execution through successful launches. Excellent problem-solving and critical-thinking skills to recognize and comprehend complex data issues affecting the business environment. Experience working in agile environment. Additional Information In support of the pay transparency laws enacted across the country, the expected salary range for this position is between $84,835.61 and $149,076.17. Actual pay will be adjusted based on job-related factors permitted by law, such as experience and training; geographic location; licensure and certifications; market factors; departmental budgets; and responsibility. Our Talent Acquisition Team will be happy to answer any questions you may have, and we look forward to learning more about your salary requirements. The position qualifies for the below benefits. Adtalem offers a robust suite of benefits including: Health, dental, vision, life and disability insurance 401k Retirement Program + 6% employer match Participation in Adtalem's Flexible Time Off (FTO) Policy 12 Paid Holidays For more information related to our benefits please visit: You are also eligible to participate in an annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Equal Opportunity - Minority / Female / Disability / V / Gender Identity / Sexual Orientation

Company Description Adtalem Global Education is a national leader in post-secondary education and leading provider of professional talent to the healthcare industry. Adtalem educates and empowers students with the knowledge and skills to become leaders in their communities and make a lasting impact on public health, well-being and beyond. Through equitable access to education, environments that nurture student success, and a focus on expanding and diversifying the talent pipeline in healthcare, Adtalem is building a brighter future for communities and the world. Adtalem is the parent organization of American University of the Caribbean School of Medicine, Chamberlain University, Ross University School of Medicine, Ross University School of Veterinary Medicine and Walden University. We operate on a hybrid schedule with four in-office days per week (Monday-Thursday). This approach enhances creativity, innovation, communication, and relationship-building, fostering a dynamic and collaborative work environment. Visit for more information and follow us on LinkedIn and Instagram . Job Description Adtalem is a data driven organization. The Data Engineering team builds data solutions that powers strategic and tactical business decisions and supports the Analytics and Artificial Intelligence operations. By implementing the data platform, data pipelines and data governance policies this team provides the basis for decision-making in Adtalem. Adtalem is looking for a Senior Data Engineer who design, build, and maintain robust data engineering solutions that support our company's innovation initiatives and growth objectives. Architect, develop, and optimize scalable data pipelines handling real-time, unstructured, and synthetic datasets Collaborate with cross-functional teams, including data scientists, analysts, and product owners, to deliver innovative data solutions that drive business growth. Design, develop, deploy and support high performance data pipelines both inbound and outbound. Model data platform by applying the business logic and building objects in the semantic layer of the data platform. Leverage streaming technologies and cloud platforms to enable real-time data processing and analytics Optimize data pipelines for performance, scalability, and reliability. Implement CI/CD pipelines to ensure continuous deployment and delivery of our data products. Ensure quality of critical data elements, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root. Document the design and support strategy of the data pipelines Capture, store and socialize data lineage and operational metadata Troubleshoot and resolve data engineering issues as they arise. Develop REST APIs to expose data to other teams within the company. Stay current with emerging technologies and industry trends related to big data, streaming data, and synthetic data generation Mentor and guide junior data engineers. Qualifications Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field. Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field. Two (2) plus years experience in Google cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows,BQML, Vertex AI. Six (6) plus years experience in data engineering solutions such as data platforms, ingestion, data management, or publication/analytics. Hands-on experience working with real-time, unstructured, and synthetic data, and will be instrumental in advancing our data platform capabilities. Experience in Real Time Data ingestion using GCP PubSub, Kafka, Spark or similar. Expert knowledge on Python programming and SQL. Experience with cloud platforms (AWS, GCP, Azure) and their data services Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed. Familiarity with synthetic data generation and unstructured data processing Experience in AI/ML data pipelines and frameworks Excellent organizational, prioritization and analytical abilities. Have proven experience working in incremental execution through successful launches. Excellent problem-solving and critical-thinking skills to recognize and comprehend complex data issues affecting the business environment. Experience working in agile environment. Additional Information In support of the pay transparency laws enacted across the country, the expected salary range for this position is between $84,835.61 and $149,076.17. Actual pay will be adjusted based on job-related factors permitted by law, such as experience and training; geographic location; licensure and certifications; market factors; departmental budgets; and responsibility. Our Talent Acquisition Team will be happy to answer any questions you may have, and we look forward to learning more about your salary requirements. The position qualifies for the below benefits. Adtalem offers a robust suite of benefits including: Health, dental, vision, life and disability insurance 401k Retirement Program + 6% employer match Participation in Adtalem's Flexible Time Off (FTO) Policy 12 Paid Holidays For more information related to our benefits please visit: You are also eligible to participate in an annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Equal Opportunity - Minority / Female / Disability / V / Gender Identity / Sexual Orientation

Company Description Adtalem Global Education is a national leader in post-secondary education and leading provider of professional talent to the healthcare industry. Adtalem educates and empowers students with the knowledge and skills to become leaders in their communities and make a lasting impact on public health, well-being and beyond. Through equitable access to education, environments that nurture student success, and a focus on expanding and diversifying the talent pipeline in healthcare, Adtalem is building a brighter future for communities and the world. Adtalem is the parent organization of American University of the Caribbean School of Medicine, Chamberlain University, Ross University School of Medicine, Ross University School of Veterinary Medicine and Walden University. We operate on a hybrid schedule with four in-office days per week (Monday-Thursday). This approach enhances creativity, innovation, communication, and relationship-building, fostering a dynamic and collaborative work environment. Visit for more information and follow us on LinkedIn and Instagram . Job Description Adtalem is a data driven organization. The Data Engineering team builds data solutions that powers strategic and tactical business decisions and supports the Analytics and Artificial Intelligence operations. By implementing the data platform, data pipelines and data governance policies this team provides the basis for decision-making in Adtalem. Adtalem is looking for a Senior Data Engineer who design, build, and maintain robust data engineering solutions that support our company's innovation initiatives and growth objectives. Architect, develop, and optimize scalable data pipelines handling real-time, unstructured, and synthetic datasets Collaborate with cross-functional teams, including data scientists, analysts, and product owners, to deliver innovative data solutions that drive business growth. Design, develop, deploy and support high performance data pipelines both inbound and outbound. Model data platform by applying the business logic and building objects in the semantic layer of the data platform. Leverage streaming technologies and cloud platforms to enable real-time data processing and analytics Optimize data pipelines for performance, scalability, and reliability. Implement CI/CD pipelines to ensure continuous deployment and delivery of our data products. Ensure quality of critical data elements, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root. Document the design and support strategy of the data pipelines Capture, store and socialize data lineage and operational metadata Troubleshoot and resolve data engineering issues as they arise. Develop REST APIs to expose data to other teams within the company. Stay current with emerging technologies and industry trends related to big data, streaming data, and synthetic data generation Mentor and guide junior data engineers. Qualifications Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field. Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field. Two (2) plus years experience in Google cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows,BQML, Vertex AI. Six (6) plus years experience in data engineering solutions such as data platforms, ingestion, data management, or publication/analytics. Hands-on experience working with real-time, unstructured, and synthetic data, and will be instrumental in advancing our data platform capabilities. Experience in Real Time Data ingestion using GCP PubSub, Kafka, Spark or similar. Expert knowledge on Python programming and SQL. Experience with cloud platforms (AWS, GCP, Azure) and their data services Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed. Familiarity with synthetic data generation and unstructured data processing Experience in AI/ML data pipelines and frameworks Excellent organizational, prioritization and analytical abilities. Have proven experience working in incremental execution through successful launches. Excellent problem-solving and critical-thinking skills to recognize and comprehend complex data issues affecting the business environment. Experience working in agile environment. Additional Information In support of the pay transparency laws enacted across the country, the expected salary range for this position is between $84,835.61 and $149,076.17. Actual pay will be adjusted based on job-related factors permitted by law, such as experience and training; geographic location; licensure and certifications; market factors; departmental budgets; and responsibility. Our Talent Acquisition Team will be happy to answer any questions you may have, and we look forward to learning more about your salary requirements. The position qualifies for the below benefits. Adtalem offers a robust suite of benefits including: Health, dental, vision, life and disability insurance 401k Retirement Program + 6% employer match Participation in Adtalem's Flexible Time Off (FTO) Policy 12 Paid Holidays For more information related to our benefits please visit: You are also eligible to participate in an annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Equal Opportunity - Minority / Female / Disability / V / Gender Identity / Sexual Orientation