Job Overview: Architecture & Design Support Support the definition of system and data integration architecture for eCommerce platforms and enterprise systems. Contribute to solution design documents, data flow diagrams, interface specifications, and integration standards. Work with senior architects to evaluate design options and ensure alignment with overall platform strategy. Data Engineering & Integrations Help design and implement data pipelines supporting analytics, tagging, customer data, product information, inventory, orders, and other commerce workflows. Configure and maintain integration patterns such as APIs, streaming, webhooks, batch jobs, and middleware workflows. Participate in building data models, schemas, and event structures that support digital commerce operations. Assist in maintaining data quality, monitoring, governance, and synchronization across systems. Help design and implement data visualization using BI tools such as Microsoft Power BI , Tableau etc. Implementation & Delivery Collaborate with engineering teams to translate integration requirements into technical tasks. Support testing, debugging, and validation of integrations across upstream and downstream systems. Contribute to documentation and knowledge sharing within the team. Ensure solutions meet requirements for security, reliability, observability, and performance. Cross-Functional Collaboration Work closely with product managers, analytics teams, marketing, operations, and customer experience teams to understand data and integration needs. Help clarify data requirements and ensure correct flow of customer, product, and transaction information. Communicate technical concepts clearly to both technical and business partners. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Total Rewards: Salary Range: $71,000 - $115,500 Actual placement within the compensation range may vary depending on experience, skills, and other factors Benefits, subject to election and eligibility: Medical, Dental, Vision, Disability, Paid Time Off (including paid parental leave, vacation, and sick time), 401k with company match, Tuition Reimbursement, and Mileage Reimbursement Annual bonus based on performance and eligibility It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Requirements: 4-7 years of experience in solution architecture, data engineering, systems integration, or similar roles. Strong understanding of eCommerce ecosystems and how data flows between CRM, CDP, ERP, OMS, PIM, tagging/analytics, and marketing platforms. Experience building or supporting API integrations and event-driven workflows. Working knowledge of data modeling, ETL/ELT pipelines, and cloud-based data infrastructure. Familiarity with digital tagging, analytics measurement, and customer data capture. Strong technical documentation, communication, and problem-solving skills. Ability to work collaboratively within a cross-functional team environment. Preferred Qualifications Experience contributing to large-scale digital commerce or replatforming initiatives. Exposure to headless or composable commerce concepts. Some familiarity with DevOps practices, CI/CD, and cloud-based integration tooling. Understanding of data privacy and compliance considerations (GDPR, CCPA). Relevant industry ceritifications such as Microsoft Azure, AWS, Google Cloud or equivalent Company Overview: Keurig Dr Pepper (NASDAQ: KDP) is a leading beverage company in North America, with a portfolio of more than 125 owned, licensed and partner brands and powerful distribution capabilities to provide a beverage for every need, anytime, anywhere. We operate with a differentiated business model and world-class brand portfolio, powered by a talented and engaged team that is anchored in our values. We work with big, exciting beverage brands and the single-serve coffee brewing system in North America at KDP, and we have fun doing it! Together, we have built a leading beverage company in North America offering hot and cold beverages together at scale. Whatever your area of expertise, at KDP you can be a part of a team that's proud of its brands, partnerships, innovation, and growth. Will you join us? We strive to be an employer of choice, providing a culture and opportunities that empower our team of 29,000 employees to grow and develop. We offer robust benefits to support your health and wellness as well as your personal and financial well-being. We also provide employee programs designed to enhance your professional growth and development, while ensuring you feel valued, inspired and appreciated at work. Keurig Dr Pepper is an equal opportunity employer and recruits qualified applicants and advances in employment its employees without regard to race, color, religion, gender, sexual orientation, gender identity, gender expression, age, disability or association with a person with a disability, medical condition, genetic information, ethnic or national origin, marital status, veteran status, or any other status protected by law. A.I. Disclosure: KDP uses artificial intelligence to assist with initial resume screening and candidate matching. This technology helps us efficiently identify candidates whose qualifications align with our open roles. If you prefer not to have your application processed using artificial intelligence, you may opt out by emailing your resume and qualifications directly to in lieu of clicking Apply. Please include the job title and location or Job ID # in the email subject line.
01/11/2026
Full time
Job Overview: Architecture & Design Support Support the definition of system and data integration architecture for eCommerce platforms and enterprise systems. Contribute to solution design documents, data flow diagrams, interface specifications, and integration standards. Work with senior architects to evaluate design options and ensure alignment with overall platform strategy. Data Engineering & Integrations Help design and implement data pipelines supporting analytics, tagging, customer data, product information, inventory, orders, and other commerce workflows. Configure and maintain integration patterns such as APIs, streaming, webhooks, batch jobs, and middleware workflows. Participate in building data models, schemas, and event structures that support digital commerce operations. Assist in maintaining data quality, monitoring, governance, and synchronization across systems. Help design and implement data visualization using BI tools such as Microsoft Power BI , Tableau etc. Implementation & Delivery Collaborate with engineering teams to translate integration requirements into technical tasks. Support testing, debugging, and validation of integrations across upstream and downstream systems. Contribute to documentation and knowledge sharing within the team. Ensure solutions meet requirements for security, reliability, observability, and performance. Cross-Functional Collaboration Work closely with product managers, analytics teams, marketing, operations, and customer experience teams to understand data and integration needs. Help clarify data requirements and ensure correct flow of customer, product, and transaction information. Communicate technical concepts clearly to both technical and business partners. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Total Rewards: Salary Range: $71,000 - $115,500 Actual placement within the compensation range may vary depending on experience, skills, and other factors Benefits, subject to election and eligibility: Medical, Dental, Vision, Disability, Paid Time Off (including paid parental leave, vacation, and sick time), 401k with company match, Tuition Reimbursement, and Mileage Reimbursement Annual bonus based on performance and eligibility It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Requirements: 4-7 years of experience in solution architecture, data engineering, systems integration, or similar roles. Strong understanding of eCommerce ecosystems and how data flows between CRM, CDP, ERP, OMS, PIM, tagging/analytics, and marketing platforms. Experience building or supporting API integrations and event-driven workflows. Working knowledge of data modeling, ETL/ELT pipelines, and cloud-based data infrastructure. Familiarity with digital tagging, analytics measurement, and customer data capture. Strong technical documentation, communication, and problem-solving skills. Ability to work collaboratively within a cross-functional team environment. Preferred Qualifications Experience contributing to large-scale digital commerce or replatforming initiatives. Exposure to headless or composable commerce concepts. Some familiarity with DevOps practices, CI/CD, and cloud-based integration tooling. Understanding of data privacy and compliance considerations (GDPR, CCPA). Relevant industry ceritifications such as Microsoft Azure, AWS, Google Cloud or equivalent Company Overview: Keurig Dr Pepper (NASDAQ: KDP) is a leading beverage company in North America, with a portfolio of more than 125 owned, licensed and partner brands and powerful distribution capabilities to provide a beverage for every need, anytime, anywhere. We operate with a differentiated business model and world-class brand portfolio, powered by a talented and engaged team that is anchored in our values. We work with big, exciting beverage brands and the single-serve coffee brewing system in North America at KDP, and we have fun doing it! Together, we have built a leading beverage company in North America offering hot and cold beverages together at scale. Whatever your area of expertise, at KDP you can be a part of a team that's proud of its brands, partnerships, innovation, and growth. Will you join us? We strive to be an employer of choice, providing a culture and opportunities that empower our team of 29,000 employees to grow and develop. We offer robust benefits to support your health and wellness as well as your personal and financial well-being. We also provide employee programs designed to enhance your professional growth and development, while ensuring you feel valued, inspired and appreciated at work. Keurig Dr Pepper is an equal opportunity employer and recruits qualified applicants and advances in employment its employees without regard to race, color, religion, gender, sexual orientation, gender identity, gender expression, age, disability or association with a person with a disability, medical condition, genetic information, ethnic or national origin, marital status, veteran status, or any other status protected by law. A.I. Disclosure: KDP uses artificial intelligence to assist with initial resume screening and candidate matching. This technology helps us efficiently identify candidates whose qualifications align with our open roles. If you prefer not to have your application processed using artificial intelligence, you may opt out by emailing your resume and qualifications directly to in lieu of clicking Apply. Please include the job title and location or Job ID # in the email subject line.
Description Our client is seeking a motivated and technically curious IT Infrastructure Engineer to support and maintain our enterprise and OT (Operational Technology) systems and networks. This role is ideal for someone with a solid foundation in infrastructure technologies who is eager to grow their skills in a fast-paced, collaborative environment. You'll work closely with experienced engineers and cross-functional teams to ensure our systems are secure, reliable, and scalable. Key Responsibilities • Provide onsite and remote support for IT and OT infrastructure in a 24x7 manufacturing environment. • Participate in on-call rotation schedule. • Assist with the maintenance and monitoring of critical systems, including MES and enterprise platforms. • Support the setup and troubleshooting of systems involving Nutanix virtualization, Veeam Backup, Microsoft Server OS, and Microsoft Azure. • Help administer Microsoft infrastructure technologies not limited to: Azure AD/Entra ID, M365, Active Directory, MFA, and PKI environments. • Collaborate with team members and stakeholders to resolve technical issues and implement infrastructure improvements. • Foster a culture of knowledge sharing and continuous improvement within the team. • Follow IT security best practices and assist in identifying potential vulnerabilities. • Participate in infrastructure projects and contribute to planning and documentation. • Maintain accurate system documentation, including backup and recovery procedures. • Track and report on IT tasks and KPIs as directed. • Stay current with emerging technologies and contribute ideas for continuous improvement. • Be an escalation point for the IT Solution Center Help Desk. Required Skills & Qualifications • Bachelor's Degree in Computer Science, Information Systems, or related field, or equivalent work experience. • 2-4 years of experience supporting IT infrastructure environments. • Working knowledge of Microsoft Server administration and Active Directory. • Exposure to Microsoft Azure, Azure AD, and Microsoft 365. • Familiarity with Linux operating systems and basic command-line usage. • Familiarity with virtualization platforms such as Nutanix, VMware, or Hyper-V. • Basic understanding of networking concepts (TCP/IP, DNS, VPN, NTP). • Experience with backup and recovery tools like Veeam is a plus. • Scripting experience (e.g., PowerShell) is a plus. • Experience implementing and supporting MFA solutions. • Understanding of PKI concepts and hands-on experience with certificate management. • Knowledge of NTP configuration and troubleshooting. • Strong communication and interpersonal skills, with the ability to explain technical concepts to non-technical stakeholders. • Demonstrated ability to work collaboratively in a team environment, contributing to group problem-solving and decision-making. • Adaptability and willingness to learn, with a proactive approach to tackling new challenges. • Comfortable working with rapidly changing priorities and ambiguity. Preferred Experience • Experience in manufacturing or OT environments. • Experience with Azure Cloud Automation or Nutanix. • Familiar with Microsoft SQL Server. • Experience integrating MFA, PKI, and NTP with enterprise systems. • Experience mentoring or supporting junior team members. • Proven track record of successful collaboration in cross-functional teams. Skills disaster recovery, disaster recovery planning, systems engineering, hci, Microsoft, office 365, virtualization, Nutanix, windows, azure, active directory, pki infrastructure, ntp, PKI, MFA, PowerShell, production environment, VMware, sql server Top Skills Details disaster recovery, disaster recovery planning, systems engineering, hci, Microsoft, office 365,virtualization,Nutanix,windows,azure,active directory, pki infrastructure, ntp, PKI,MFA Additional Skills & Qualifications -PowerShell -Familiar with Microsoft SQL Server. Experience Level Intermediate Level Job Type & Location This is a Contract position based out of Chicago, IL. Pay and Benefits The pay range for this position is $48.00 - $62.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a hybrid position in Chicago,IL. Application Deadline This position is anticipated to close on Jan 16, 2026. h4>About TEKsystems: We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
01/11/2026
Full time
Description Our client is seeking a motivated and technically curious IT Infrastructure Engineer to support and maintain our enterprise and OT (Operational Technology) systems and networks. This role is ideal for someone with a solid foundation in infrastructure technologies who is eager to grow their skills in a fast-paced, collaborative environment. You'll work closely with experienced engineers and cross-functional teams to ensure our systems are secure, reliable, and scalable. Key Responsibilities • Provide onsite and remote support for IT and OT infrastructure in a 24x7 manufacturing environment. • Participate in on-call rotation schedule. • Assist with the maintenance and monitoring of critical systems, including MES and enterprise platforms. • Support the setup and troubleshooting of systems involving Nutanix virtualization, Veeam Backup, Microsoft Server OS, and Microsoft Azure. • Help administer Microsoft infrastructure technologies not limited to: Azure AD/Entra ID, M365, Active Directory, MFA, and PKI environments. • Collaborate with team members and stakeholders to resolve technical issues and implement infrastructure improvements. • Foster a culture of knowledge sharing and continuous improvement within the team. • Follow IT security best practices and assist in identifying potential vulnerabilities. • Participate in infrastructure projects and contribute to planning and documentation. • Maintain accurate system documentation, including backup and recovery procedures. • Track and report on IT tasks and KPIs as directed. • Stay current with emerging technologies and contribute ideas for continuous improvement. • Be an escalation point for the IT Solution Center Help Desk. Required Skills & Qualifications • Bachelor's Degree in Computer Science, Information Systems, or related field, or equivalent work experience. • 2-4 years of experience supporting IT infrastructure environments. • Working knowledge of Microsoft Server administration and Active Directory. • Exposure to Microsoft Azure, Azure AD, and Microsoft 365. • Familiarity with Linux operating systems and basic command-line usage. • Familiarity with virtualization platforms such as Nutanix, VMware, or Hyper-V. • Basic understanding of networking concepts (TCP/IP, DNS, VPN, NTP). • Experience with backup and recovery tools like Veeam is a plus. • Scripting experience (e.g., PowerShell) is a plus. • Experience implementing and supporting MFA solutions. • Understanding of PKI concepts and hands-on experience with certificate management. • Knowledge of NTP configuration and troubleshooting. • Strong communication and interpersonal skills, with the ability to explain technical concepts to non-technical stakeholders. • Demonstrated ability to work collaboratively in a team environment, contributing to group problem-solving and decision-making. • Adaptability and willingness to learn, with a proactive approach to tackling new challenges. • Comfortable working with rapidly changing priorities and ambiguity. Preferred Experience • Experience in manufacturing or OT environments. • Experience with Azure Cloud Automation or Nutanix. • Familiar with Microsoft SQL Server. • Experience integrating MFA, PKI, and NTP with enterprise systems. • Experience mentoring or supporting junior team members. • Proven track record of successful collaboration in cross-functional teams. Skills disaster recovery, disaster recovery planning, systems engineering, hci, Microsoft, office 365, virtualization, Nutanix, windows, azure, active directory, pki infrastructure, ntp, PKI, MFA, PowerShell, production environment, VMware, sql server Top Skills Details disaster recovery, disaster recovery planning, systems engineering, hci, Microsoft, office 365,virtualization,Nutanix,windows,azure,active directory, pki infrastructure, ntp, PKI,MFA Additional Skills & Qualifications -PowerShell -Familiar with Microsoft SQL Server. Experience Level Intermediate Level Job Type & Location This is a Contract position based out of Chicago, IL. Pay and Benefits The pay range for this position is $48.00 - $62.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a hybrid position in Chicago,IL. Application Deadline This position is anticipated to close on Jan 16, 2026. h4>About TEKsystems: We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
01/11/2026
Full time
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
Cutting Edge Technology! This Jobot Job is hosted by: Lincoln Sprague Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $145,000 - $190,000 per year A bit about us: We are a cutting edge cybersecurity company that focuses on creating hardware and software communications solutions for the defense sector. If you are a dedicated embedded software engineer who is ready to take on the toughest technical challenges please apply today! Why join us? Top Tier Benefits Large Bonus Potential Free Gym Program Job Details Job Details: We are seeking a highly skilled and motivated Embedded Software Engineer to join our dynamic and innovative team. This is a permanent position where you will be working on cutting-edge technology projects that revolutionize our industry. The successful candidate will be responsible for designing, developing, and testing embedded software systems, with a focus on Yocto, Embedded Linux, Microprocessors, and cryptography theory. If you are passionate about technology, thrive in a fast-paced environment, and have a strong desire to make a significant impact, we want to hear from you. Responsibilities: 1. Design, develop, and test embedded software systems and ensure their robustness, reliability, and safety. 2. Work on all phases of software development life cycle, from requirement analysis, design, coding, testing, debugging, and maintenance. 3. Utilize your expertise in Yocto, Embedded Linux, Microprocessors, and cryptography theory to develop innovative solutions. 4. Collaborate with multidisciplinary teams to define software specifications and requirements. 5. Participate in code and design reviews to maintain our high development standards. 6. Troubleshoot and resolve software defects and other technical issues. 7. Write clear, maintainable, and efficient code. 8. Stay updated with the latest technological trends and apply them into operations and activities. 9. Provide technical guidance and coaching to developers and engineers. Qualifications: 1. Bachelor's degree in Computer Science, Electrical Engineering, or a related field. 2. A minimum of 5 years of experience in embedded software development. 3. Proficient with Yocto, Embedded Linux, Microprocessors, and cryptography theory. 4. Solid understanding of the software development life cycle. 5. Excellent knowledge of OS coding techniques, IP protocols, interfaces, and hardware subsystems. 6. Strong troubleshooting and problem-solving skills. 7. Excellent knowledge of reading schematics and data sheets for components. 8. Strong documentation and writing skills. 9. Ability to work in a team-oriented, collaborative environment. 10. Excellent communication skills, both verbal and written. 11. Strong attention to detail, with a commitment to high quality and accuracy. 12. Ability to manage multiple tasks, prioritize effectively, and meet deadlines. 13. Self-motivated and capable of working with minimal supervision. This is an exciting opportunity to work with a team of talented engineers and make a significant contribution to our future projects. If you are a self-starter who is excited about technology and enjoys working in a fast-paced, team-oriented environment, we would love to hear from you. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
01/11/2026
Full time
Cutting Edge Technology! This Jobot Job is hosted by: Lincoln Sprague Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $145,000 - $190,000 per year A bit about us: We are a cutting edge cybersecurity company that focuses on creating hardware and software communications solutions for the defense sector. If you are a dedicated embedded software engineer who is ready to take on the toughest technical challenges please apply today! Why join us? Top Tier Benefits Large Bonus Potential Free Gym Program Job Details Job Details: We are seeking a highly skilled and motivated Embedded Software Engineer to join our dynamic and innovative team. This is a permanent position where you will be working on cutting-edge technology projects that revolutionize our industry. The successful candidate will be responsible for designing, developing, and testing embedded software systems, with a focus on Yocto, Embedded Linux, Microprocessors, and cryptography theory. If you are passionate about technology, thrive in a fast-paced environment, and have a strong desire to make a significant impact, we want to hear from you. Responsibilities: 1. Design, develop, and test embedded software systems and ensure their robustness, reliability, and safety. 2. Work on all phases of software development life cycle, from requirement analysis, design, coding, testing, debugging, and maintenance. 3. Utilize your expertise in Yocto, Embedded Linux, Microprocessors, and cryptography theory to develop innovative solutions. 4. Collaborate with multidisciplinary teams to define software specifications and requirements. 5. Participate in code and design reviews to maintain our high development standards. 6. Troubleshoot and resolve software defects and other technical issues. 7. Write clear, maintainable, and efficient code. 8. Stay updated with the latest technological trends and apply them into operations and activities. 9. Provide technical guidance and coaching to developers and engineers. Qualifications: 1. Bachelor's degree in Computer Science, Electrical Engineering, or a related field. 2. A minimum of 5 years of experience in embedded software development. 3. Proficient with Yocto, Embedded Linux, Microprocessors, and cryptography theory. 4. Solid understanding of the software development life cycle. 5. Excellent knowledge of OS coding techniques, IP protocols, interfaces, and hardware subsystems. 6. Strong troubleshooting and problem-solving skills. 7. Excellent knowledge of reading schematics and data sheets for components. 8. Strong documentation and writing skills. 9. Ability to work in a team-oriented, collaborative environment. 10. Excellent communication skills, both verbal and written. 11. Strong attention to detail, with a commitment to high quality and accuracy. 12. Ability to manage multiple tasks, prioritize effectively, and meet deadlines. 13. Self-motivated and capable of working with minimal supervision. This is an exciting opportunity to work with a team of talented engineers and make a significant contribution to our future projects. If you are a self-starter who is excited about technology and enjoys working in a fast-paced, team-oriented environment, we would love to hear from you. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
NEW AI Founding Engineer Opportunity-Build a startup! This Jobot Job is hosted by: Audrey Block Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $150,000 - $200,000 per year A bit about us: We are a startup AI company based in Los Angeles looking to bring on 2 full stack engineers to the team! Ideally, we are looking for an AI Founding Engineer with a strong startup background, and a mid level engineer with strong AI experience. These are remote positions. Please contact me for further information! Why join us? Huge opportunity for growth Startup with existing relationships Build a startup Work within AI-the future of our world Exciting industry Job Details Job Details: We are seeking a Founding AI Full Stack Engineer. This is a permanent, full-time position where you will work on cutting-edge technologies and AI solutions. The successful candidate will be responsible for developing and implementing a range of AI-driven applications and systems. This role is perfect for someone who thrives in a startup environment and is eager to leverage their skills in AI, AWS, React, UI, llms, Anthropic, email ingestion, calendar orchestration, integration architecture, and secure enterprise automation to solve complex business problems. We are looking for someone that is a tech entrepreneur! Responsibilities: 1. Design and implement AI-driven solutions that align with our business needs and objectives. 2. Connect with core enterprise integrations (Gmail, Outlook, Zoom, Twilio, Google Maps, Slack, and others) 3. Utilize React to develop user-friendly UIs for our applications. 4. Implement llms and Anthropic for efficient learning and decision-making processes. 5. Develop and manage email ingestion and calendar orchestration to streamline our internal operations. 6. Design and implement integration architecture for seamless data flow between different systems. 7. Ensure secure enterprise automation across all our applications and systems. Implement security-first engineering practices (SOC2-aligned infra, OAuth2, role-based access, audit logs). 8. Collaborate with cross-functional teams to ensure our solutions are scalable and meet the needs of our clients. 9. Stay updated on the latest AI trends and technologies and apply this knowledge to our operations. 10. Troubleshoot and resolve any issues that may arise in our AI systems and applications. Qualifications: 1. A bachelor's degree in Computer Science, Engineering, or a related field. 2. 5+ years of experience as a Full Stack Engineer, with startup experience. 3. Proven experience with AI (OpenAI-Chat GPT 4/5), Anthropic, Fast API, Python, TypeScript/Node.js, OAuth2, AWS, admin automation 4. Strong knowledge of AI principles and technologies. 5. Excellent problem-solving skills and the ability to think critically and innovatively. 6. Strong communication skills and the ability to work effectively in a team. 7. Ability to handle multiple tasks simultaneously and meet tight deadlines. 8. Knowledge of the latest trends and technologies in AI and full stack development. 9. Strong leadership and decision making skills 10. Entrepreneur with a passion to build This is a fantastic opportunity for a seasoned Full Stack AI Engineer to join a fast-paced, innovative company and make a significant impact on our AI-driven solutions. If you have the necessary skills and experience and are ready for a new challenge, we would love to hear from you. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
01/11/2026
Full time
NEW AI Founding Engineer Opportunity-Build a startup! This Jobot Job is hosted by: Audrey Block Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $150,000 - $200,000 per year A bit about us: We are a startup AI company based in Los Angeles looking to bring on 2 full stack engineers to the team! Ideally, we are looking for an AI Founding Engineer with a strong startup background, and a mid level engineer with strong AI experience. These are remote positions. Please contact me for further information! Why join us? Huge opportunity for growth Startup with existing relationships Build a startup Work within AI-the future of our world Exciting industry Job Details Job Details: We are seeking a Founding AI Full Stack Engineer. This is a permanent, full-time position where you will work on cutting-edge technologies and AI solutions. The successful candidate will be responsible for developing and implementing a range of AI-driven applications and systems. This role is perfect for someone who thrives in a startup environment and is eager to leverage their skills in AI, AWS, React, UI, llms, Anthropic, email ingestion, calendar orchestration, integration architecture, and secure enterprise automation to solve complex business problems. We are looking for someone that is a tech entrepreneur! Responsibilities: 1. Design and implement AI-driven solutions that align with our business needs and objectives. 2. Connect with core enterprise integrations (Gmail, Outlook, Zoom, Twilio, Google Maps, Slack, and others) 3. Utilize React to develop user-friendly UIs for our applications. 4. Implement llms and Anthropic for efficient learning and decision-making processes. 5. Develop and manage email ingestion and calendar orchestration to streamline our internal operations. 6. Design and implement integration architecture for seamless data flow between different systems. 7. Ensure secure enterprise automation across all our applications and systems. Implement security-first engineering practices (SOC2-aligned infra, OAuth2, role-based access, audit logs). 8. Collaborate with cross-functional teams to ensure our solutions are scalable and meet the needs of our clients. 9. Stay updated on the latest AI trends and technologies and apply this knowledge to our operations. 10. Troubleshoot and resolve any issues that may arise in our AI systems and applications. Qualifications: 1. A bachelor's degree in Computer Science, Engineering, or a related field. 2. 5+ years of experience as a Full Stack Engineer, with startup experience. 3. Proven experience with AI (OpenAI-Chat GPT 4/5), Anthropic, Fast API, Python, TypeScript/Node.js, OAuth2, AWS, admin automation 4. Strong knowledge of AI principles and technologies. 5. Excellent problem-solving skills and the ability to think critically and innovatively. 6. Strong communication skills and the ability to work effectively in a team. 7. Ability to handle multiple tasks simultaneously and meet tight deadlines. 8. Knowledge of the latest trends and technologies in AI and full stack development. 9. Strong leadership and decision making skills 10. Entrepreneur with a passion to build This is a fantastic opportunity for a seasoned Full Stack AI Engineer to join a fast-paced, innovative company and make a significant impact on our AI-driven solutions. If you have the necessary skills and experience and are ready for a new challenge, we would love to hear from you. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
01/11/2026
Full time
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
01/11/2026
Full time
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
01/11/2026
Full time
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
Systems Administrator needed (on-site) for well-established environment engineering company This Jobot Job is hosted by: Joseph Calabrese Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $80,000 - $100,000 per year A bit about us: We are a well established Engineering Firm located in Winter Park, FL Why join us? Full Benefits Medical Dental Vision 401k Join a well established team who is invested in your growth, development and continued success Rewarding work and responsibilities Excellent culture and peers Job Details Responsibilities Assist with Managing and maintaining Microsoft Exchange, SQL Server, and Windows Server environments in an on-premises server configuration. Monitor system performance, backups, patching, and data security. Support and troubleshoot networking, firewall, and VPN configurations. Implement and maintain cybersecurity protocols and disaster recovery plans. Manage user accounts, permissions, and licensing Coordinate with leadership and external vendors to ensure reliable IT operations across all offices. Evaluate emerging technologies to enhance system reliability, scalability, and security. Qualifications: Bachelor's degree in Information Technology, Computer Science, or related field (or equivalent experience). 5+ years of IT administration experience, preferably in a professional services or engineering environment. Proficiency in Microsoft Exchange, SQL Server, and Windows Server administration. Microsoft certifications such as MCSA, MCSE, or Microsoft 365 Certified: Administrator are strongly preferred. Preferred Experience: Familiarity with engineering and GIS applications (Bentley OpenRoads Designer, Civil 3D, ArcGIS, QGIS,) is a plus. Familiarity with Python and R for coding applications is a plus Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
01/11/2026
Full time
Systems Administrator needed (on-site) for well-established environment engineering company This Jobot Job is hosted by: Joseph Calabrese Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $80,000 - $100,000 per year A bit about us: We are a well established Engineering Firm located in Winter Park, FL Why join us? Full Benefits Medical Dental Vision 401k Join a well established team who is invested in your growth, development and continued success Rewarding work and responsibilities Excellent culture and peers Job Details Responsibilities Assist with Managing and maintaining Microsoft Exchange, SQL Server, and Windows Server environments in an on-premises server configuration. Monitor system performance, backups, patching, and data security. Support and troubleshoot networking, firewall, and VPN configurations. Implement and maintain cybersecurity protocols and disaster recovery plans. Manage user accounts, permissions, and licensing Coordinate with leadership and external vendors to ensure reliable IT operations across all offices. Evaluate emerging technologies to enhance system reliability, scalability, and security. Qualifications: Bachelor's degree in Information Technology, Computer Science, or related field (or equivalent experience). 5+ years of IT administration experience, preferably in a professional services or engineering environment. Proficiency in Microsoft Exchange, SQL Server, and Windows Server administration. Microsoft certifications such as MCSA, MCSE, or Microsoft 365 Certified: Administrator are strongly preferred. Preferred Experience: Familiarity with engineering and GIS applications (Bentley OpenRoads Designer, Civil 3D, ArcGIS, QGIS,) is a plus. Familiarity with Python and R for coding applications is a plus Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Wanted: Experienced Energy Management Systems Technician (All Levels of Experience Needed) For Our Lithia Springs, GA Location This Jobot Job is hosted by: Stephen Niedringhaus Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $31 - $38 per hour A bit about us: Wanted: Experienced Energy Management Systems Technician (All Levels of Experience Needed) For Our Lithia Springs, GA Location We don't just design, build, and operate data centers-we enable the technology of the future. Led by a vision of revolutionary innovation, operational excellence, and purpose-driven progress, our teams are evolving what's possible for AI, cloud, and enterprise clients worldwide. Every employee contributes to a mission greater than themselves: creating the world's most advanced digital infrastructure to power the progress of humanity. As an Energy Management Systems Technician, you'll join a world-class technical operations team responsible for the installation, integration, and maintenance of our electrical power monitoring systems (EPMS) across mission-critical data centers. These roles are hands-on, dynamic, and essential to ensuring power reliability, operational efficiency, and sustainability in our high-performance environments. We are hiring at multiple levels (I-III) depending on your experience, technical knowledge, and leadership capabilities. Interviews are going on now. Don't wait. Apply today! Why join us? We offer several comprehensive benefit plans, and we cover 100% of Medical and Dental Insurance for you and your family! Other Benefits Include: Vision Insurance 100% paid telemedicine, including mental health visits Employer contribution to Health Savings Account (HSA) Paid life and AD&D insurance Voluntary supplemental life and AD&D insurance Short-term and long-term disability insurance Paid maternity leave Leave of absence options Flexible Spending Accounts (FSAs) Employee Assistance Program (EAP) Benefits Resource Center Mobile Benefits App 401(k) plan with an excellent matching percentage! PTO and Holidays and more Job Details What You'll Do Depending on your level, you will be responsible for activities including: Installation, configuration, and maintenance of power monitoring devices and databases (Schneider Electric EcoStruxure PME, LDC, DCE, etc.) Troubleshooting and repair of EPMS hardware and communications networks Reviewing and auditing electrical engineering drawings and documentation Supporting EPMS deployments during data center expansions Providing remote support and coordination with external teams and vendors Developing operating procedures, training materials, and system graphics/tools Integrating EPMS with Building Management Systems (BMS) for monitoring and automation Performing daily EPMS system checks and validating system functionality Leading or assisting in project management for special installations and upgrades Level Differentiation EMS Technician I - Entry/Foundational 1+ year of experience troubleshooting electrical or communications equipment Supports installations, maintenance, and EPMS deployments under guidance Builds foundational knowledge of electrical systems, safety procedures, and data-center environments EMS Technician II - Intermediate/Independent 2+ years of relevant experience in electrical, controls, or data-center systems Performs advanced troubleshooting, system checks, and documentation management Leads small-scale deployments and assists in EPMS/BMS integration and vendor coordination EMS Technician III - Advanced/Lead 4+ years of progressive experience in electrical power monitoring or control systems Provides advanced technical support, vendor oversight, and project leadership Develops custom EPMS programs, graphics, and reports; resolves advanced networking issues Mentors junior technicians and supports continuous process improvement What You Bring Strong understanding of electrical or mechanical systems in a data-center or industrial environment (transformers, switchgear, UPS, PDUs, ATS/STS units, cooling systems, etc.) Familiarity with communication protocols such as Modbus, SNMP, or BACnet Hands-on experience with EPMS/PME, SCADA, or BMS systems (a plus) Excellent problem-solving and analytical skills Proven ability to work both independently and in a team environment Strong communication and documentation skills Willingness to learn, travel, and adapt in a fast-paced, technology-driven environment Education & Certifications Degree in Electrical Engineering, Computer Science, Electronics, or a related field preferred (or equivalent technical training/experience) Relevant certifications such as CompTIA Network+, Electrical/Controls, or Schneider Electric PME certifications are a plus Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
01/11/2026
Full time
Wanted: Experienced Energy Management Systems Technician (All Levels of Experience Needed) For Our Lithia Springs, GA Location This Jobot Job is hosted by: Stephen Niedringhaus Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $31 - $38 per hour A bit about us: Wanted: Experienced Energy Management Systems Technician (All Levels of Experience Needed) For Our Lithia Springs, GA Location We don't just design, build, and operate data centers-we enable the technology of the future. Led by a vision of revolutionary innovation, operational excellence, and purpose-driven progress, our teams are evolving what's possible for AI, cloud, and enterprise clients worldwide. Every employee contributes to a mission greater than themselves: creating the world's most advanced digital infrastructure to power the progress of humanity. As an Energy Management Systems Technician, you'll join a world-class technical operations team responsible for the installation, integration, and maintenance of our electrical power monitoring systems (EPMS) across mission-critical data centers. These roles are hands-on, dynamic, and essential to ensuring power reliability, operational efficiency, and sustainability in our high-performance environments. We are hiring at multiple levels (I-III) depending on your experience, technical knowledge, and leadership capabilities. Interviews are going on now. Don't wait. Apply today! Why join us? We offer several comprehensive benefit plans, and we cover 100% of Medical and Dental Insurance for you and your family! Other Benefits Include: Vision Insurance 100% paid telemedicine, including mental health visits Employer contribution to Health Savings Account (HSA) Paid life and AD&D insurance Voluntary supplemental life and AD&D insurance Short-term and long-term disability insurance Paid maternity leave Leave of absence options Flexible Spending Accounts (FSAs) Employee Assistance Program (EAP) Benefits Resource Center Mobile Benefits App 401(k) plan with an excellent matching percentage! PTO and Holidays and more Job Details What You'll Do Depending on your level, you will be responsible for activities including: Installation, configuration, and maintenance of power monitoring devices and databases (Schneider Electric EcoStruxure PME, LDC, DCE, etc.) Troubleshooting and repair of EPMS hardware and communications networks Reviewing and auditing electrical engineering drawings and documentation Supporting EPMS deployments during data center expansions Providing remote support and coordination with external teams and vendors Developing operating procedures, training materials, and system graphics/tools Integrating EPMS with Building Management Systems (BMS) for monitoring and automation Performing daily EPMS system checks and validating system functionality Leading or assisting in project management for special installations and upgrades Level Differentiation EMS Technician I - Entry/Foundational 1+ year of experience troubleshooting electrical or communications equipment Supports installations, maintenance, and EPMS deployments under guidance Builds foundational knowledge of electrical systems, safety procedures, and data-center environments EMS Technician II - Intermediate/Independent 2+ years of relevant experience in electrical, controls, or data-center systems Performs advanced troubleshooting, system checks, and documentation management Leads small-scale deployments and assists in EPMS/BMS integration and vendor coordination EMS Technician III - Advanced/Lead 4+ years of progressive experience in electrical power monitoring or control systems Provides advanced technical support, vendor oversight, and project leadership Develops custom EPMS programs, graphics, and reports; resolves advanced networking issues Mentors junior technicians and supports continuous process improvement What You Bring Strong understanding of electrical or mechanical systems in a data-center or industrial environment (transformers, switchgear, UPS, PDUs, ATS/STS units, cooling systems, etc.) Familiarity with communication protocols such as Modbus, SNMP, or BACnet Hands-on experience with EPMS/PME, SCADA, or BMS systems (a plus) Excellent problem-solving and analytical skills Proven ability to work both independently and in a team environment Strong communication and documentation skills Willingness to learn, travel, and adapt in a fast-paced, technology-driven environment Education & Certifications Degree in Electrical Engineering, Computer Science, Electronics, or a related field preferred (or equivalent technical training/experience) Relevant certifications such as CompTIA Network+, Electrical/Controls, or Schneider Electric PME certifications are a plus Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
01/11/2026
Full time
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
01/11/2026
Full time
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
Wanted: Experienced Energy Management Systems Technician (All Levels of Experience Needed) for our Grand Rapids Location This Jobot Job is hosted by: Stephen Niedringhaus Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $31 - $38 per hour A bit about us: Wanted: Experienced Energy Management Systems Technician (All Levels of Experience Needed) For Our Grand Rapids Location We don't just design, build, and operate data centers-we enable the technology of the future. Led by a vision of revolutionary innovation, operational excellence, and purpose-driven progress, our teams are evolving what's possible for AI, cloud, and enterprise clients worldwide. Every employee contributes to a mission greater than themselves: creating the world's most advanced digital infrastructure to power the progress of humanity. As an Energy Management Systems Technician, you'll join a world-class technical operations team responsible for the installation, integration, and maintenance of our electrical power monitoring systems (EPMS) across mission-critical data centers. These roles are hands-on, dynamic, and essential to ensuring power reliability, operational efficiency, and sustainability in our high-performance environments. We are hiring at multiple levels (I-III) depending on your experience, technical knowledge, and leadership capabilities. Interviews are going on now. Don't wait. Apply today! Why join us? We offer several comprehensive benefit plans, and we cover 100% of Medical and Dental Insurance for you and your family! Other Benefits Include: Vision Insurance 100% paid telemedicine, including mental health visits Employer contribution to Health Savings Account (HSA) Paid life and AD&D insurance Voluntary supplemental life and AD&D insurance Short-term and long-term disability insurance Paid maternity leave Leave of absence options Flexible Spending Accounts (FSAs) Employee Assistance Program (EAP) Benefits Resource Center Mobile Benefits App 401(k) plan with an excellent matching percentage! PTO and Holidays and more Job Details What You'll Do Depending on your level, you will be responsible for activities including: Installation, configuration, and maintenance of power monitoring devices and databases (Schneider Electric EcoStruxure PME, LDC, DCE, etc.) Troubleshooting and repair of EPMS hardware and communications networks Reviewing and auditing electrical engineering drawings and documentation Supporting EPMS deployments during data center expansions Providing remote support and coordination with external teams and vendors Developing operating procedures, training materials, and system graphics/tools Integrating EPMS with Building Management Systems (BMS) for monitoring and automation Performing daily EPMS system checks and validating system functionality Leading or assisting in project management for special installations and upgrades Level Differentiation EMS Technician I - Entry/Foundational 1+ year of experience troubleshooting electrical or communications equipment Supports installations, maintenance, and EPMS deployments under guidance Builds foundational knowledge of electrical systems, safety procedures, and data-center environments EMS Technician II - Intermediate/Independent 2+ years of relevant experience in electrical, controls, or data-center systems Performs advanced troubleshooting, system checks, and documentation management Leads small-scale deployments and assists in EPMS/BMS integration and vendor coordination EMS Technician III - Advanced/Lead 4+ years of progressive experience in electrical power monitoring or control systems Provides advanced technical support, vendor oversight, and project leadership Develops custom EPMS programs, graphics, and reports; resolves advanced networking issues Mentors junior technicians and supports continuous process improvement What You Bring Strong understanding of electrical or mechanical systems in a data-center or industrial environment (transformers, switchgear, UPS, PDUs, ATS/STS units, cooling systems, etc.) Familiarity with communication protocols such as Modbus, SNMP, or BACnet Hands-on experience with EPMS/PME, SCADA, or BMS systems (a plus) Excellent problem-solving and analytical skills Proven ability to work both independently and in a team environment Strong communication and documentation skills Willingness to learn, travel, and adapt in a fast-paced, technology-driven environment Education & Certifications Degree in Electrical Engineering, Computer Science, Electronics, or a related field preferred (or equivalent technical training/experience) Relevant certifications such as CompTIA Network+, Electrical/Controls, or Schneider Electric PME certifications are a plus Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
01/11/2026
Full time
Wanted: Experienced Energy Management Systems Technician (All Levels of Experience Needed) for our Grand Rapids Location This Jobot Job is hosted by: Stephen Niedringhaus Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $31 - $38 per hour A bit about us: Wanted: Experienced Energy Management Systems Technician (All Levels of Experience Needed) For Our Grand Rapids Location We don't just design, build, and operate data centers-we enable the technology of the future. Led by a vision of revolutionary innovation, operational excellence, and purpose-driven progress, our teams are evolving what's possible for AI, cloud, and enterprise clients worldwide. Every employee contributes to a mission greater than themselves: creating the world's most advanced digital infrastructure to power the progress of humanity. As an Energy Management Systems Technician, you'll join a world-class technical operations team responsible for the installation, integration, and maintenance of our electrical power monitoring systems (EPMS) across mission-critical data centers. These roles are hands-on, dynamic, and essential to ensuring power reliability, operational efficiency, and sustainability in our high-performance environments. We are hiring at multiple levels (I-III) depending on your experience, technical knowledge, and leadership capabilities. Interviews are going on now. Don't wait. Apply today! Why join us? We offer several comprehensive benefit plans, and we cover 100% of Medical and Dental Insurance for you and your family! Other Benefits Include: Vision Insurance 100% paid telemedicine, including mental health visits Employer contribution to Health Savings Account (HSA) Paid life and AD&D insurance Voluntary supplemental life and AD&D insurance Short-term and long-term disability insurance Paid maternity leave Leave of absence options Flexible Spending Accounts (FSAs) Employee Assistance Program (EAP) Benefits Resource Center Mobile Benefits App 401(k) plan with an excellent matching percentage! PTO and Holidays and more Job Details What You'll Do Depending on your level, you will be responsible for activities including: Installation, configuration, and maintenance of power monitoring devices and databases (Schneider Electric EcoStruxure PME, LDC, DCE, etc.) Troubleshooting and repair of EPMS hardware and communications networks Reviewing and auditing electrical engineering drawings and documentation Supporting EPMS deployments during data center expansions Providing remote support and coordination with external teams and vendors Developing operating procedures, training materials, and system graphics/tools Integrating EPMS with Building Management Systems (BMS) for monitoring and automation Performing daily EPMS system checks and validating system functionality Leading or assisting in project management for special installations and upgrades Level Differentiation EMS Technician I - Entry/Foundational 1+ year of experience troubleshooting electrical or communications equipment Supports installations, maintenance, and EPMS deployments under guidance Builds foundational knowledge of electrical systems, safety procedures, and data-center environments EMS Technician II - Intermediate/Independent 2+ years of relevant experience in electrical, controls, or data-center systems Performs advanced troubleshooting, system checks, and documentation management Leads small-scale deployments and assists in EPMS/BMS integration and vendor coordination EMS Technician III - Advanced/Lead 4+ years of progressive experience in electrical power monitoring or control systems Provides advanced technical support, vendor oversight, and project leadership Develops custom EPMS programs, graphics, and reports; resolves advanced networking issues Mentors junior technicians and supports continuous process improvement What You Bring Strong understanding of electrical or mechanical systems in a data-center or industrial environment (transformers, switchgear, UPS, PDUs, ATS/STS units, cooling systems, etc.) Familiarity with communication protocols such as Modbus, SNMP, or BACnet Hands-on experience with EPMS/PME, SCADA, or BMS systems (a plus) Excellent problem-solving and analytical skills Proven ability to work both independently and in a team environment Strong communication and documentation skills Willingness to learn, travel, and adapt in a fast-paced, technology-driven environment Education & Certifications Degree in Electrical Engineering, Computer Science, Electronics, or a related field preferred (or equivalent technical training/experience) Relevant certifications such as CompTIA Network+, Electrical/Controls, or Schneider Electric PME certifications are a plus Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Groundbreaking SaaS Data Analytics platform for Healthcare Providers / Meaningful equity! This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $80,000 - $165,000 per year A bit about us: We are seeking a dynamic and innovative Senior Software Engineer with a strong background in Python and Django to join our forward-thinking technology company. This is a permanent, full-time position where you will get the opportunity to work on exciting projects while being at the forefront of technology innovation. You will be part of a team responsible for enhancing our existing systems, as well as developing and implementing new technologies. This role is perfect for someone who is passionate about software development, thrives in a collaborative environment, and is always seeking to learn and grow. Why join us? Competitive Base Salary Excellent health, dental and vision coverage Equity in high-growth start-up (not in lieu of a salary) Flexible Hours Very generous PTO 401k plan with 4% match Small team, autonomy Many more great perks! Job Details As a Senior Software Engineer, you will: 1. Design, develop, and maintain efficient, reusable, and reliable Python/Django code. 2. Collaborate with the team to define, design, and ship new features. 3. Identify and correct bottlenecks and fix bugs. 4. Help maintain code quality, organization, and automatization. 5. Work with Node.js and Vue.js to create a seamless, robust, and responsive user experience. 6. Utilize AWS cloud services to build scalable and secure applications. 7. Participate in all phases of the software development lifecycle, from design to deployment. 8. Contribute to the team's continuous improvement by sharing knowledge and expertise with colleagues. 9. Provide technical leadership and mentoring to junior team members. Qualifications: The ideal candidate will possess: 1. A Bachelor's degree in Computer Science, Information Technology, or a related field. 2. A minimum of 3 years of experience in software development, specifically with Python and Django. 3. Proficiency in using Node.js and Vue.js. 4. Experience with AWS and understanding of cloud architecture. 5. Strong understanding of object-oriented programming. 6. Familiarity with continuous integration and continuous deployment (CI/CD) pipelines. 7. Excellent problem-solving skills and attention to detail. 8. Strong communication skills, both written and verbal. 9. The ability to work in a team and independently when needed. 10. A passion for staying updated with the latest industry trends and technologies. If you are a dedicated, innovative, and detail-oriented professional with a passion for software development and a knack for problem-solving, we would love to hear from you. Join us and contribute to developing cutting-edge software solutions that are revolutionizing the technology industry. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
01/11/2026
Full time
Groundbreaking SaaS Data Analytics platform for Healthcare Providers / Meaningful equity! This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $80,000 - $165,000 per year A bit about us: We are seeking a dynamic and innovative Senior Software Engineer with a strong background in Python and Django to join our forward-thinking technology company. This is a permanent, full-time position where you will get the opportunity to work on exciting projects while being at the forefront of technology innovation. You will be part of a team responsible for enhancing our existing systems, as well as developing and implementing new technologies. This role is perfect for someone who is passionate about software development, thrives in a collaborative environment, and is always seeking to learn and grow. Why join us? Competitive Base Salary Excellent health, dental and vision coverage Equity in high-growth start-up (not in lieu of a salary) Flexible Hours Very generous PTO 401k plan with 4% match Small team, autonomy Many more great perks! Job Details As a Senior Software Engineer, you will: 1. Design, develop, and maintain efficient, reusable, and reliable Python/Django code. 2. Collaborate with the team to define, design, and ship new features. 3. Identify and correct bottlenecks and fix bugs. 4. Help maintain code quality, organization, and automatization. 5. Work with Node.js and Vue.js to create a seamless, robust, and responsive user experience. 6. Utilize AWS cloud services to build scalable and secure applications. 7. Participate in all phases of the software development lifecycle, from design to deployment. 8. Contribute to the team's continuous improvement by sharing knowledge and expertise with colleagues. 9. Provide technical leadership and mentoring to junior team members. Qualifications: The ideal candidate will possess: 1. A Bachelor's degree in Computer Science, Information Technology, or a related field. 2. A minimum of 3 years of experience in software development, specifically with Python and Django. 3. Proficiency in using Node.js and Vue.js. 4. Experience with AWS and understanding of cloud architecture. 5. Strong understanding of object-oriented programming. 6. Familiarity with continuous integration and continuous deployment (CI/CD) pipelines. 7. Excellent problem-solving skills and attention to detail. 8. Strong communication skills, both written and verbal. 9. The ability to work in a team and independently when needed. 10. A passion for staying updated with the latest industry trends and technologies. If you are a dedicated, innovative, and detail-oriented professional with a passion for software development and a knack for problem-solving, we would love to hear from you. Join us and contribute to developing cutting-edge software solutions that are revolutionizing the technology industry. 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:
Large Aerospace Manufacturer Cutting Edge Technology with great stability This Jobot Job is hosted by: Lincoln Sprague Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $80,000 - $105,000 per year A bit about us: We are one of the leading manufacturers in Southern California, with a global presence as well. We've been experiencing growth year-over-year and have not stopped. With over 60 years in business, we've become a leader within various markets: Aerospace, Defense, space, and others. If you're looking for a company with the utmost stability and upward growth, please continue to read and apply! Why join us? 60+ years of stability and reputation amongst the community Excellent benefits and long term profit sharing potential Massive opportunity to move up with over 5000 employees, we continue to promote from within Competitive pay + profit sharing Employer Paid Health Benefits Job Details Job Details: Our organization is looking for a highly skilled and experienced Electrical Test Engineer to join our dynamic team. The successful candidate will be responsible for conducting a wide range of tests on various electrical systems and components to ensure their optimal performance and compliance with industry standards. This role will involve working closely with our design and production teams, providing critical input to improve the quality, efficiency, and safety of our products. The ideal candidate will have a strong background in electrical engineering, with extensive experience in calibration, instrumentation, and equipment performance testing. Responsibilities: 1. Conduct rigorous testing of electrical systems and components to ensure their performance, safety, and compliance with industry standards. 2. Utilize precision measurement tools, Fluke instruments, and automatic test equipment to perform tests and calibrations. 3. Develop and implement testing procedures in accordance with ISO 9001 and AS9100 standards. 4. Document test results, identify issues, and provide recommendations for improvements. 5. Collaborate with design and production teams to enhance product quality and efficiency. 6. Conduct audits to ensure adherence to testing procedures and standards. 7. Utilize NI LabVIEW and TestStand to develop and execute automated test sequences. 8. Maintain up-to-date knowledge of ANSI standards and their application in the testing process. 9. Troubleshoot and resolve issues related to electrical systems and components. 10. Continuously seek opportunities to improve testing procedures and methodologies. Qualifications: 1. Bachelor's degree in Electrical Engineering or a related field. 2. A minimum of 5 years of experience as an Electrical Test Engineer or in a similar role. 3. Proficient in calibration, instrumentation, and equipment performance testing. 4. Extensive experience with automatic test equipment, precision measurement tools, and Fluke instruments. 5. Knowledge of ISO 9001, AS9100, and ANSI standards. 6. Experience with NI LabVIEW and TestStand. 7. Strong analytical and problem-solving skills. 8. Excellent communication and collaboration skills. 9. Detail-oriented with a strong focus on accuracy and quality. 10. Ability to work independently and manage multiple tasks simultaneously. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
01/11/2026
Full time
Large Aerospace Manufacturer Cutting Edge Technology with great stability This Jobot Job is hosted by: Lincoln Sprague Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $80,000 - $105,000 per year A bit about us: We are one of the leading manufacturers in Southern California, with a global presence as well. We've been experiencing growth year-over-year and have not stopped. With over 60 years in business, we've become a leader within various markets: Aerospace, Defense, space, and others. If you're looking for a company with the utmost stability and upward growth, please continue to read and apply! Why join us? 60+ years of stability and reputation amongst the community Excellent benefits and long term profit sharing potential Massive opportunity to move up with over 5000 employees, we continue to promote from within Competitive pay + profit sharing Employer Paid Health Benefits Job Details Job Details: Our organization is looking for a highly skilled and experienced Electrical Test Engineer to join our dynamic team. The successful candidate will be responsible for conducting a wide range of tests on various electrical systems and components to ensure their optimal performance and compliance with industry standards. This role will involve working closely with our design and production teams, providing critical input to improve the quality, efficiency, and safety of our products. The ideal candidate will have a strong background in electrical engineering, with extensive experience in calibration, instrumentation, and equipment performance testing. Responsibilities: 1. Conduct rigorous testing of electrical systems and components to ensure their performance, safety, and compliance with industry standards. 2. Utilize precision measurement tools, Fluke instruments, and automatic test equipment to perform tests and calibrations. 3. Develop and implement testing procedures in accordance with ISO 9001 and AS9100 standards. 4. Document test results, identify issues, and provide recommendations for improvements. 5. Collaborate with design and production teams to enhance product quality and efficiency. 6. Conduct audits to ensure adherence to testing procedures and standards. 7. Utilize NI LabVIEW and TestStand to develop and execute automated test sequences. 8. Maintain up-to-date knowledge of ANSI standards and their application in the testing process. 9. Troubleshoot and resolve issues related to electrical systems and components. 10. Continuously seek opportunities to improve testing procedures and methodologies. Qualifications: 1. Bachelor's degree in Electrical Engineering or a related field. 2. A minimum of 5 years of experience as an Electrical Test Engineer or in a similar role. 3. Proficient in calibration, instrumentation, and equipment performance testing. 4. Extensive experience with automatic test equipment, precision measurement tools, and Fluke instruments. 5. Knowledge of ISO 9001, AS9100, and ANSI standards. 6. Experience with NI LabVIEW and TestStand. 7. Strong analytical and problem-solving skills. 8. Excellent communication and collaboration skills. 9. Detail-oriented with a strong focus on accuracy and quality. 10. Ability to work independently and manage multiple tasks simultaneously. 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:
This Jobot Job is hosted by: Amanda Preston Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $170,000 - $220,000 per year A bit about us: Come join a Global Multimedia and Information Services empire! Job Title: Director of Asset Management & Integration Job Location: Charlotte, NC or New York City, NY ( if working out of NYC, must travel to Charlotte 1x/month) Work Schedule: Hybrid, 3 days/week on-site Pay Rate: $170k-$220k/yr base salary + Comprehensive Benefits + 401k with 3% match Required: 7+ yrs of Identity Engineering experience, with SailPoint, Okta, or equivalent modern identity systems. Preferred: Sailpoint IdentityNow expertise is a big plus Leadership or team management experience (small team) AI technology experience Why join us? Extremely Competitive Benefits Package! Flexible Work Schedules! Accelerated Career Growth! Job Details Job Details: Our client is seeking a forward-thinking and highly technical Director of Automation & Systems Integration to lead the transformation of their asset management and automation capabilities. This role goes far beyond traditional IT asset management-it is about building the foundation for a fully automated, AI-enabled future where disparate systems integrate seamlessly, data flows automatically, and manual reconciliations are eliminated. The ideal candidate is a hands-on technologist with proven experience in integrations, automation, and modern infrastructure engineering. They will manage a small existing asset management team, but their focus will be on designing and delivering next-generation solutions: connecting critical data sources to our CMDB, developing live integrations, enabling AI-driven automation, and ultimately shaping the roadmap for automation and digital workforce capabilities. This position will oversee 2 direct reports. Moreover, this position will also become an AI leader in the organization participating and running AI hackathons - so it will likely eventually extend beyond the technology and asset management group duties. Key Responsibilities Systems Integration & Automation Design, build, and maintain integrations between CMDB, identity systems, security tools, cloud services, and network portals. Evaluate failed/inefficient integrations, perform retrospectives, and recommend scalable solutions. Create a technical roadmap for achieving live, automated data flows across the enterprise. AI & Automation Roadmap Drive the adoption of AI tools and autonomous agents for IT operations. Partner with our automation team to leverage toolkits and establish best practices. Position the team for a future where asset management and governance are fully automated. Leadership & Stakeholder Management Manage and mentor a team of three asset management professionals, guiding them toward higher-value, AI-driven work. Collaborate with infrastructure, identity, cloud, and network engineering leaders (primarily Charlotte-based). Engage senior executives in Charlotte and New York, providing updates and recommendations on automation initiatives. Strategic Delivery Provide quick wins in asset management automation while building toward long-term AI-enabled capabilities. Collect, analyze, and synthesize input from engineering and security teams to ensure the CMDB reflects meaningful, actionable data. Own retrospectives on failed initiatives and propose cost-efficient, technically sound alternatives. Required: 7+ yrs of Identity Engineering experience, with SailPoint, Okta, or equivalent modern identity systems. Preferred: Sailpoint IdentityNow expertise is a big plus Leadership or team management experience (small team) AI technology experience Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
01/11/2026
Full time
This Jobot Job is hosted by: Amanda Preston Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $170,000 - $220,000 per year A bit about us: Come join a Global Multimedia and Information Services empire! Job Title: Director of Asset Management & Integration Job Location: Charlotte, NC or New York City, NY ( if working out of NYC, must travel to Charlotte 1x/month) Work Schedule: Hybrid, 3 days/week on-site Pay Rate: $170k-$220k/yr base salary + Comprehensive Benefits + 401k with 3% match Required: 7+ yrs of Identity Engineering experience, with SailPoint, Okta, or equivalent modern identity systems. Preferred: Sailpoint IdentityNow expertise is a big plus Leadership or team management experience (small team) AI technology experience Why join us? Extremely Competitive Benefits Package! Flexible Work Schedules! Accelerated Career Growth! Job Details Job Details: Our client is seeking a forward-thinking and highly technical Director of Automation & Systems Integration to lead the transformation of their asset management and automation capabilities. This role goes far beyond traditional IT asset management-it is about building the foundation for a fully automated, AI-enabled future where disparate systems integrate seamlessly, data flows automatically, and manual reconciliations are eliminated. The ideal candidate is a hands-on technologist with proven experience in integrations, automation, and modern infrastructure engineering. They will manage a small existing asset management team, but their focus will be on designing and delivering next-generation solutions: connecting critical data sources to our CMDB, developing live integrations, enabling AI-driven automation, and ultimately shaping the roadmap for automation and digital workforce capabilities. This position will oversee 2 direct reports. Moreover, this position will also become an AI leader in the organization participating and running AI hackathons - so it will likely eventually extend beyond the technology and asset management group duties. Key Responsibilities Systems Integration & Automation Design, build, and maintain integrations between CMDB, identity systems, security tools, cloud services, and network portals. Evaluate failed/inefficient integrations, perform retrospectives, and recommend scalable solutions. Create a technical roadmap for achieving live, automated data flows across the enterprise. AI & Automation Roadmap Drive the adoption of AI tools and autonomous agents for IT operations. Partner with our automation team to leverage toolkits and establish best practices. Position the team for a future where asset management and governance are fully automated. Leadership & Stakeholder Management Manage and mentor a team of three asset management professionals, guiding them toward higher-value, AI-driven work. Collaborate with infrastructure, identity, cloud, and network engineering leaders (primarily Charlotte-based). Engage senior executives in Charlotte and New York, providing updates and recommendations on automation initiatives. Strategic Delivery Provide quick wins in asset management automation while building toward long-term AI-enabled capabilities. Collect, analyze, and synthesize input from engineering and security teams to ensure the CMDB reflects meaningful, actionable data. Own retrospectives on failed initiatives and propose cost-efficient, technically sound alternatives. Required: 7+ yrs of Identity Engineering experience, with SailPoint, Okta, or equivalent modern identity systems. Preferred: Sailpoint IdentityNow expertise is a big plus Leadership or team management experience (small team) AI technology experience 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:
Systems Engineer - Expert This position requires an active TS/SCI with Polygraph clearance. Criterion Systems LLC is seeking a Systems Engineer to support our Government client. Compensation & Benefits: Pay commensurate with experience. Full time benefits include Medical, Dental, Vision, 401K, and other possible benefits as provided. Benefits are subject to change with or without notice. Systems Engineer - Expert Responsibilities Include: Maintain a strong awareness of technical trends in information technology, develop and maintain a strong awareness of on-going IT projects, and business unit requirements Apply the Sponsor's project management model for development efforts Provide analysis, design, development, deployment, and lifecycle support for innovative hardware/software/ network systems and applications Develop and support end-to-end technical projects Ensure systems being developed comply with the enterprise technical architecture Help project and program teams prepare for project control gates; and keep senior management apprised of project or program status Immediate response may be required to restore or maintain Performs other job-related duties as assigned Systems Engineer - Expert Experience, Education, Skills, Abilities requested: Current TS/SCI with polygraph Bachelor's degree in Computer Engineering or related field Minimum of eight (8) years of related experience Local Area Network (LAN) skills Ability to build servers, understand certificate authorities and integrate customer systems into enterprise Strong background in Microsoft Systems Engineering and providing support to those systems. Strong recent experience in Windows platform operating system and Microsoft applications including Windows 10 and Server 2012 / 2016 suite. Strong knowledge of virtualization products with a focus on Hyper-V. Proficiency in scripting languages with a focus on PowerShell. Experience with McAfee product suite. Demonstrated strong performance as a Systems Engineer / Architect, developing or implementing information systems with a broad experience base across the entire project lifecycle. Demonstrated capacity to understand and communicate technical ideas, concepts, and thoughts across multiple technical and non-technical stakeholders. Demonstrated ability to independently determine and develop approach to solutions. Must pass pre-employment qualifications of Cherokee Federal Company Information: Criterion is a part of Cherokee Federal - the division of tribally owned federal contracting companies owned by Cherokee Nation Businesses. As a trusted partner for more than 60 federal clients, Cherokee Federal LLCs are focused on building a brighter future, solving complex challenges, and serving the government's mission with compassion and heart. To learn more about Criterion, visit Cherokee Federal is a military friendly employer. Veterans and active military transitioning to civilian status are encouraged to apply. Similar searchable job titles: LAN/WAN Engineer Systems Architect Systems Administrator Network Administrator Computer Engineer Legal Disclaimer: All qualified applicants will receive consideration for employment without regard to protected veteran status, disability or any other status protected under applicable federal, state or local law. Many of our job openings require access to government buildings or military installations. Candidates must pass pre-employment qualifications of Cherokee Federal. As required by our governmental client, this position requires being a US Citizen AND an active TS/SCI with Polygraph clearance.
01/11/2026
Full time
Systems Engineer - Expert This position requires an active TS/SCI with Polygraph clearance. Criterion Systems LLC is seeking a Systems Engineer to support our Government client. Compensation & Benefits: Pay commensurate with experience. Full time benefits include Medical, Dental, Vision, 401K, and other possible benefits as provided. Benefits are subject to change with or without notice. Systems Engineer - Expert Responsibilities Include: Maintain a strong awareness of technical trends in information technology, develop and maintain a strong awareness of on-going IT projects, and business unit requirements Apply the Sponsor's project management model for development efforts Provide analysis, design, development, deployment, and lifecycle support for innovative hardware/software/ network systems and applications Develop and support end-to-end technical projects Ensure systems being developed comply with the enterprise technical architecture Help project and program teams prepare for project control gates; and keep senior management apprised of project or program status Immediate response may be required to restore or maintain Performs other job-related duties as assigned Systems Engineer - Expert Experience, Education, Skills, Abilities requested: Current TS/SCI with polygraph Bachelor's degree in Computer Engineering or related field Minimum of eight (8) years of related experience Local Area Network (LAN) skills Ability to build servers, understand certificate authorities and integrate customer systems into enterprise Strong background in Microsoft Systems Engineering and providing support to those systems. Strong recent experience in Windows platform operating system and Microsoft applications including Windows 10 and Server 2012 / 2016 suite. Strong knowledge of virtualization products with a focus on Hyper-V. Proficiency in scripting languages with a focus on PowerShell. Experience with McAfee product suite. Demonstrated strong performance as a Systems Engineer / Architect, developing or implementing information systems with a broad experience base across the entire project lifecycle. Demonstrated capacity to understand and communicate technical ideas, concepts, and thoughts across multiple technical and non-technical stakeholders. Demonstrated ability to independently determine and develop approach to solutions. Must pass pre-employment qualifications of Cherokee Federal Company Information: Criterion is a part of Cherokee Federal - the division of tribally owned federal contracting companies owned by Cherokee Nation Businesses. As a trusted partner for more than 60 federal clients, Cherokee Federal LLCs are focused on building a brighter future, solving complex challenges, and serving the government's mission with compassion and heart. To learn more about Criterion, visit Cherokee Federal is a military friendly employer. Veterans and active military transitioning to civilian status are encouraged to apply. Similar searchable job titles: LAN/WAN Engineer Systems Architect Systems Administrator Network Administrator Computer Engineer Legal Disclaimer: All qualified applicants will receive consideration for employment without regard to protected veteran status, disability or any other status protected under applicable federal, state or local law. Many of our job openings require access to government buildings or military installations. Candidates must pass pre-employment qualifications of Cherokee Federal. As required by our governmental client, this position requires being a US Citizen AND an active TS/SCI with Polygraph clearance.
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:
01/11/2026
Full time
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.
01/11/2026
Full time
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
01/11/2026
Full time
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
