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What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint." We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! Job Purpose This role at Honda is in the Customer Experience (CX) Architecture Unit within the IT department. Your goal will be to provide seamless, sustainable, and innovative solutions that exceed expectations and drive trust and satisfaction with the Honda and Acura brands. Prior demonstrable experience of creating software architecture for high-load scalable websites and webservices is a must. Key Accountabilities Strategic Architecture Leadership: Maintain a deep understanding of the application portfolios, including their technical and functional health, and ensure alignment with business strategies and priorities. Define current ("as-is") state and future ("to-be") state architectures. Develop roadmaps to target states, including necessary interim state architectures to support the transition. Stay current with technology and industry trends, incorporating relevant innovations into strategic planning. Build and maintain strong relationships with business and IT partners, ensuring clear communication and alignment on strategic technology direction and architectural vision. Solution Delivery: Be the solution architect for high-impact programs and projects within the portfolio. Develop solution architecture blueprints, POVs, and guide architectural decisions. Conduct architecture reviews and provide hands-on guidance and support to development teams. Ensure solution design and implementation conform to enterprise standards and strategic objectives. Architecture Governance: Contribute and leverage enterprise technology standards, promote and follow the architecture governance processes. Familiar with shared enterprise platforms and their associated architecture, including cloud platforms, and AI platforms Qualifications, Experience, and Skills Minimum Educational Qualifications: A Bachelors level degree / diploma in Computer Science / Data Science / Information Technology / Information Systems / Electronics, or a related field of study. Minimum relevant work experience: 5 or more years of experience managing technology portfolios supporting corporate functions such as Marketing, Compliance, and IT operations. 5 or more years of enterprise architecture experience, with a proven track record of defining target state architecture and roadmaps for large, complex portfolios. Demonstrated success leading digital transformation initiatives, including legacy modernization and large-scale vendor solution implementations. 5 or more years of experience with cloud platforms, e.g. - Amazon Web Services (AWS) and/or Microsoft Azure. Experience with Sitecore is a must, alongside good understanding of Sitecore architecture, including content delivery vs. content management. Experience optimizing Sitecore solutions for performance, scalability, and availability Familiarity with personalization, caching strategies, and content deployment pipelines Should possess in-depth expertise in modern applications, data, and integration architectures. Working knowledge of Salesforce architecture (Sales Cloud, Service Cloud, or integrations) Experience with Salesforce integrations using REST / SOAP APIs. Familiarity with Apex, Lightning Web Components, or declarative configurations will be a plus Understanding of data models, governor limits, and performance considerations Strong development experience with C# and .NET / .NET Core alongside good understanding of ASP.NET MVC / Web API architectures Experience designing and consuming RESTful APIs Familiarity with dependency injection, logging, and exception handling patterns Understanding of DevOps - CI/CD pipelines and automated deployments Proven ability to evaluate emerging technologies and recommend implementation of patterns and standards. Hands-on experience with AI implementation, including Microsoft Copilot Studio, Sitecore AI, Salesforce AI, etc. a plus. Strong business acumen and strategic thinking, with the ability to communicate effectively across all levels. Excellent collaboration skills, with the ability to lead and inspire architects and engineers. Other Job-Specific Skills: Any prior experience working in Automotive industry, product ownership knowledge will be asset Workstyle This is an onsite job, requiring at least 4 days per workweek presence at our corporate office in Torrance, CA. One remote workday per week may be possible with prior departmental approval. Relocation assistance Not eligible Visa sponsorship issues This position is not eligible for visa sponsorship. What differentiates Honda and make us an employer of choice? Total Rewards: Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Paid Overtime Regional Bonus (when applicable) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401(K) Plan with company match + additional contribution Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued Learning Training and Development programs Additional Offerings: Tuition Assistance & Student Loan Repayment Lifestyle Account Childcare Reimbursement Account Elder Care Support Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.

Transform network infrastructure by joining our dynamic team! You'll be at the forefront of developing innovative solutions that drive network stability and scalability, using your technical expertise to create automated systems that power global technological advancement. Infra Delivery Install Technicians will collaborate with cross-functional teams, troubleshoot complex technical scenarios, and implement strategic solutions that keep our network running seamlessly. Expect to engage in hands-on technical work that requires creativity, precision, and a passion for technological innovation. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. NOTE: Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role. NOTE: Lump sum stipend will be provided to eligible candidates who relocate for this position. This role will be physically based at our new MDD Pecos, TX site. Key job responsibilities Key job responsibilities - Moving and implementing large enterprise equipment - Installing Fiber and Copper cabling and patching cabling between equipment - Ensuring proper safety and security standards are maintained during cabling and rack installation, - Following well established hardware installation procedures and break-fix activities - Safely using material handling tools and equipment - Traveling within and outside of the regional work area is required. You will be responsible for having a reliable personal vehicle and valid driver's license to travel within the regional work area, as company transportation will not be provided Physical Requirements: - Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41+ pounds - Ability to work in an environment that operates 24/7 with an ability to participate in primary responder rotation and provide after-hours support as needed - Working in cramped and/or elevated and/or noisy environments - Bending, lifting, stretching, reaching, standing and walking for up to 8+ hours a day - Ascending and descending ladders, stairs, and gangways safely and without limitation This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Essential Requirements: - Ability to travel to or commute between data center locations as needed - Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational - Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. BASIC QUALIFICATIONS- 1+ years of Computer Hardware Repair, Infrastructure Cabling, Network Deployment, or Data Center Operations experience, or experience in similar technical or vocational roles - High school diploma or equivalent PREFERRED QUALIFICATIONS- industry standard certification (CompTIA, CCENT, or Network+) - Experience with cabling infrastructure best practices and methodologies - Knowledge of network cabling, optic types, and test equipment Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at

Transform network infrastructure by joining our dynamic team! You'll be at the forefront of developing innovative solutions that drive network stability and scalability, using your technical expertise to create automated systems that power global technological advancement. Infra Delivery Install Technicians will collaborate with cross-functional teams, troubleshoot complex technical scenarios, and implement strategic solutions that keep our network running seamlessly. Expect to engage in hands-on technical work that requires creativity, precision, and a passion for technological innovation. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. NOTE: Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role. NOTE: Lump sum stipend will be provided to eligible candidates who relocate for this position. Key job responsibilities - Moving and implementing large enterprise equipment - Installing Fiber and Copper cabling and patching cabling between equipment - Ensuring proper safety and security standards are maintained during cabling and rack installation, - Following well established hardware installation procedures and break-fix activities - Safely using material handling tools and equipment Traveling within and outside of the regional work area is required. You will be responsible for having a reliable personal vehicle and valid driver's license to travel within the regional work area, as company transportation will not be provided Physical Requirements: - Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41+ pounds - Ability to work in an environment that operates 24/7 with an ability to participate in primary responder rotation and provide after-hours support as needed - Working in cramped and/or elevated and/or noisy environments - Bending, lifting, stretching, reaching, standing and walking for up to 8+ hours a day - Ascending and descending ladders, stairs, and gangways safely and without limitation This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Essential Requirements: - Ability to travel to or commute between data center locations as needed - Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational - Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. BASIC QUALIFICATIONS- 1+ years of Computer Hardware Repair, Infrastructure Cabling, Network Deployment, or Data Center Operations experience, or experience in similar technical or vocational roles - High School diploma or equivalent PREFERRED QUALIFICATIONS- industry standard certification (CompTIA, CCENT, or Network+) - Experience with cabling infrastructure best practices and methodologies - Knowledge of network cabling, optic types, and test equipment Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Machine Learning Engineer to join our team at Amazon Web Services (AWS). Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? In this role, you'll work directly with customers to design, evangelize, implement, and scale AI/ML solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their AI transformation journey, providing deep expertise in machine learning, generative AI, and best practices throughout the project lifecycle. As a Machine Learning Engineer within the AWS Professional Services organization, you will be proficient in architecting complex, scalable, and secure machine learning solutions tailored to meet the specific needs of each customer. You'll help customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, and define paths to navigate technical or business challenges. Working closely with stakeholders, you'll assess current data infrastructure, develop proof-of-concepts, and propose effective strategies for implementing AI and generative AI solutions at scale. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance. Key job responsibilities - Designing and implementing complex, scalable, and secure AI/ML solutions on AWS tailored to customer needs, including selecting and fine-tuning appropriate models for specific use cases - Developing and deploying machine learning models and generative AI applications that solve real-world business problems, conducting experiments and optimizing for performance at scale - Collaborating with customer stakeholders to identify high-value AI/ML use cases, gather requirements, and propose effective strategies for implementing machine learning and generative AI solutions - Providing technical guidance on applying AI, machine learning, and generative AI responsibly and cost-efficiently, troubleshooting throughout project delivery and ensuring adherence to best practices - Acting as a trusted advisor to customers on the latest advancements in AI/ML, emerging technologies, and innovative approaches to leveraging diverse data sources for maximum business impact - Sharing knowledge within the organization through mentoring, training, creating reusable AI/ML artifacts, and working with team members to prototype new technologies and evaluate technical feasibility About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- 2+ years of cloud architecture and solution implementation experience - 3+ years of machine learning/statistical modeling data analysis tools and techniques - Experience in professional software engineering & best practices for the full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence - Current, active US Government Security Clearance of TS/SCI - Experience in defining and creating benchmarks for assessing GenAI model performance PREFERRED QUALIFICATIONS- Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Experience in performance optimization and cost management for cloud environments - Experience applying quantitative analysis to solve business problems and working on multi-team, cross-disciplinary projects - Experience translating complex technical solutions and data-driven insights into clear, actionable recommendations for diverse audiences, including both technical and non-technical stakeholders Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, VA, Arlington - 131 600.00 USD annually USA, VA, Herndon - 131 600.00 USD annually

The EC2 Nitro platform powers the world's largest, fastest-growing, and most feature-rich cloud computing environment. Designed by AWS from the ground up, Nitro leverages a fully customized stack of hardware, firmware, and software to deliver unparalleled virtualization at a global scale. Within the EC2 Nitro organization, the MLS team is tasked with developing the next generation of EC2 Supercomputers, optimized for high-performance training and inference workloads. We are looking for an experienced software engineer to drive development for new EC2 machine learning platforms. In this role, the engineer will work with a broad and deep group of technical teams that develop hardware, firmware, systems and application software etc. The ideal candidate is expected to have solid understanding of computer science fundamentals, and expertise in C/C++ or Rust development in a Linux environment. Experience with Linux package management, version control systems, automated build processes, and software unit testing are required. In-depth knowledge of ML frameworks and cluster management is highly preferred. About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Knowledge of computer architecture, operating systems, and parallel computing Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 143 400.00 USD annually

Transform network infrastructure by joining our dynamic team! You'll be at the forefront of developing innovative solutions that drive network stability and scalability, using your technical expertise to create automated systems that power global technological advancement. Infra Delivery Install Technicians will collaborate with cross-functional teams, troubleshoot complex technical scenarios, and implement strategic solutions that keep our network running seamlessly. Expect to engage in hands-on technical work that requires creativity, precision, and a passion for technological innovation. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. NOTE: Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role. NOTE: Relocation assistance will be provided to eligible candidates who relocate for this position. Key job responsibilities Moving and implementing large enterprise equipment Installing Fiber and Copper cabling and patching cabling between equipment Ensuring proper safety and security standards are maintained during cabling and rack installation, Following well established hardware installation procedures and break-fix activities Safely using material handling tools and equipment Traveling within and outside of the regional work area is required. Physical Requirements: All physical requirements are expected with reasonable accommodations: Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41+ pounds Ability to work in an environment that operates 24/7 with an ability to participate in primary responder rotation and provide after-hours support as needed Working in cramped and/or elevated and/or noisy environments Bending, lifting, stretching, reaching, standing and walking for up to 8+ hours a day Ascending and descending ladders, stairs, and gangways safely and without limitation This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Essential Requirements: Ability to travel to or commute between data center locations as needed Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. BASIC QUALIFICATIONS- 2+ years of data center, critical environment, computer hardware repair, infrastructure cabling, network deployment, or data center operations experience, or experience in similar technical roles - 2+ years of network cabling, fiber optics, and test equipment including VFL, power meter, and OTDR experience - Experience with network hardware: copper and optical fiber cabling, switches, routers PREFERRED QUALIFICATIONS- Bachelor's degree in an IT-related field (e.g., Computer Science, Network Engineering), or experience in professional or military IT-related roles - certification in a relevant field (CCENT - Cisco Certified Entry Networking Technician, Network+, or CCNA - Cisco Certified Network Associate) - Experience in a data center or other critical environment - Work flexible schedule including weekends, nights, and holidays - Experience conducting behavioral interviews and hiring Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, NC, HAMLET - 30.91 - 54.18 USD hourly

This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the go to market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges. AWS is seeking a Software Development Engineer to join the AWS Partner Core Enablement Shared Services (ESS) team. This is a technical role where you will develop and maintain production applications that serve internal AWS teams and external partners at scale. The team builds web applications, AI powered automation tools, analytics mechanisms, and internal services that help the partner organization operate more efficiently and at greater scale. You will own the implementation and delivery of features across web applications and services, working within a defined scope alongside cross functional partners. You will contribute to all phases of the development lifecycle from coding through testing and production deployment. The ideal candidate has strong computer science fundamentals, writes clean production quality code, learns quickly, and is eager to work with AI services and cloud native architectures. Key job responsibilities - Implement and deliver features for production web applications and internal services, contributing to frontend, backend, and data layers - Build tools and automation using AWS AI services (Amazon Bedrock, Amazon Q) to reduce manual effort and improve operational efficiency - Implement data pipelines from multiple sources, contribute to data model design, and develop standardized metrics and calculations for business reporting - Build analytics and reporting solutions using SQL and business intelligence tools that consolidate data from internal platforms into dashboards for stakeholders - Develop APIs and integrations that connect internal systems and expose data to other teams and tools across the organization - Contribute to internal workflow systems that manage approvals, notifications, scheduling, and self service operations for partner facing teams - Participate in production operations including deployments, security reviews, access management, and service health monitoring - Write well structured, testable code with appropriate documentation, participate in code reviews, and follow team engineering standards About the team This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience with front-end software development - Experience with AWS Services including EC2, Lambda, S3, DynamoDB, SQS - Experience with AI/ML technologies - Experience building data pipelines or automated ETL processes - Experience with CI/CD pipelines build processes - Experience operating production systems including deployment and monitoring Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 143 400.00 USD annually

This is an excellent opportunity to join Amazon's world class technical team in Herndon, VA, working with some of the best and brightest engineers and technical managers while also developing your skills and furthering your career within one of the most innovative and progressive technology companies anywhere. Amazon Web Service is building some of the largest distributed systems in the world. Amazon's database offerings like Aurora, DynamoDB, EMR, OpenSearch, RDS, and Redshift are massively scaled services that make up a critical piece of the internet today. A successful Engineer joining the team will do much more than write code and triage problems. They will work with Amazon's largest and most demanding customers to address specific needs across a full suite of services. They will dive deep into technical issues and work diligently to improve the customer experience. The ideal candidate will: - Be great fun to work with. Our company credo is "Work hard. Have fun. Make history". The right candidate will love what they do and instinctively know how to make work fun. - Have strong Linux & Networking Fundamentals. The ideal candidate will have deep experience working with Linux, preferably in a large scale, distributed environment. You understand networking technology and how servers and networks inter-relate. You regularly take part in deep-dive troubleshooting and conduct technical post-mortem discussions to identify the root cause of complex issues. - Love to code. Whether its building tools in Java or solving complex system problems in Python, the ideal candidate will love using technology to solve problems. You have a solid understanding of software development methodology and know how to use the right tool for the right job. - Think Big. The ideal candidate will build and deploy solutions across thousands of devices. You will strive to improve and streamline processes to allow for work on a massive scale. This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work. About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. AWS Infrastructure Services (AIS) AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. BASIC QUALIFICATIONS- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language - Current, active TS/SCI US Government Security Clearance PREFERRED QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, VA, Herndon - 143 400.00 USD annually

Amazon GuardDuty is a customer-facing threat detection service that is built to protect applications and services running on AWS. The service applies advanced data analytics to high-volume service logs and employs techniques such as machine learning, anomaly detection, and threat intelligence to identify and respond to potential risks at scale. The Amazon GuardDuty team is looking for a a highly skilled and innovative senior software engineer to help build the future of the service. You will work closely with applied scientists with Math PhDs, and security researchers to build advanced analytics and machine learning systems at AWS scale. You will have the opportunities to work in the emerging domain of AI Threat Detection, which extends GuardDuty to address the unique and emerging threats targeting AI models and generative AI applications. These include risks such as data poisoning, prompt injection, model exfiltration, and misuse of large language models. By developing detection systems for these evolving attack surfaces, you will help AWS customers adopt AI securely and with confidence. Our mission is to develop massively scalable, globally distributed detection systems that protect AWS customers from evolving threats and strengthen their security and compliance posture. Key job responsibilities - Design, build, and operate large-scale, distributed security detection systems. - Extend GuardDuty's capabilities into the AI Threat Detection domain by developing detections for emerging threats targeting AI models and generative AI applications. - Collaborate with applied scientists and security researchers to transform research outcomes-such as anomaly detection methods and large language model (LLM)-based approaches-into scalable, production-ready systems. - Drive the full software development lifecycle, including scoping, planning, design, implementation, testing, documentation, deployment, and operational support. - Conduct design and code reviews, providing feedback on architecture, scalability, performance, and integration. - Operate in a highly available, customer-facing environment with on-call responsibilities (typically one week every two months), and contribute to building resilient systems that minimize operational load. - Participate in root cause analysis and long-term improvements to ensure operational excellence and reduce recurring issues. About the team Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our principal engineers and senior engineers truly enjoy mentoring more junior engineers and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Knowledge of data structures, algorithm design, statistics, and system design - Experience with AWS, Azure, or Google Cloud technology - Experience with large scale distributed systems such as Hadoop, Spark etc. - Experience designing, building, operating, and managing large-scale distributed systems or web services - Experience with security and systems that handle sensitive data - Experience in ML and MLOps in production - Experience in AI threat detection Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, MA, Boston - 168 400.00 USD annually

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Machine Learning Engineer to join our team at Amazon Web Services (AWS). Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? In this role, you'll work directly with customers to design, evangelize, implement, and scale AI/ML solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their AI transformation journey, providing deep expertise in machine learning, generative AI, and best practices throughout the project lifecycle. As a Machine Learning Engineer within the AWS Professional Services organization, you will be proficient in architecting complex, scalable, and secure machine learning solutions tailored to meet the specific needs of each customer. You'll help customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, and define paths to navigate technical or business challenges. Working closely with stakeholders, you'll assess current data infrastructure, develop proof-of-concepts, and propose effective strategies for implementing AI and generative AI solutions at scale. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance. Key job responsibilities Designing and implementing complex, scalable, and secure AI/ML solutions on AWS tailored to customer needs, including selecting and fine-tuning appropriate models for specific use cases Developing and deploying machine learning models and generative AI applications that solve real-world business problems, conducting experiments and optimizing for performance at scale Collaborating with customer stakeholders to identify high-value AI/ML use cases, gather requirements, and propose effective strategies for implementing machine learning and generative AI solutions Providing technical guidance on applying AI, machine learning, and generative AI responsibly and cost-efficiently, troubleshooting throughout project delivery and ensuring adherence to best practices Acting as a trusted advisor to customers on the latest advancements in AI/ML, emerging technologies, and innovative approaches to leveraging diverse data sources for maximum business impact Sharing knowledge within the organization through mentoring, training, creating reusable AI/ML artifacts, and working with team members to prototype new technologies and evaluate technical feasibility About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience - Current, active US Government Security Clearance of TS/SCI or above - Experience in defining and creating benchmarks for assessing GenAI model performance - Experience applying quantitative analysis to solve business problems and working on multi-team, cross-disciplinary projects - 2+ years of computer vision experience PREFERRED QUALIFICATIONS- Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Experience in performance optimization and cost management for cloud environments - Master's degree or above in Science, Technology, Engineering, or Mathematics (STEM) - 2+ years of cloud architecture and solution implementation experience - Experience translating complex technical solutions and data-driven insights into clear, actionable recommendations for diverse audiences, including both technical and non-technical stakeholders Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, VA, Arlington - 131 600.00 USD annually USA, VA, Herndon - 131 600.00 USD annually

Transform network infrastructure by joining our dynamic team! You'll be at the forefront of developing innovative solutions that drive network stability and scalability, using your technical expertise to create automated systems that power global technological advancement. Infra Delivery Install Technicians will collaborate with cross-functional teams, troubleshoot complex technical scenarios, and implement strategic solutions that keep our network running seamlessly. Expect to engage in hands-on technical work that requires creativity, precision, and a passion for technological innovation. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. NOTE: Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role. NOTE: Relocation assistance will be provided to eligible candidates who relocate for this position. Key job responsibilities • Moving and implementing large enterprise equipment • Installing Fiber and Copper cabling and patching cabling between equipment • Ensuring proper safety and security standards are maintained during cabling and rack installation, • Following well established hardware installation procedures and break-fix activities • Safely using material handling tools and equipment • Traveling within and outside of the regional work area is required. Physical Requirements: • All physical requirements are expected with reasonable accommodations: • Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41+ pounds • Ability to work in an environment that operates 24/7 with an ability to participate in primary responder rotation and provide after-hours support as needed • Working in cramped and/or elevated and/or noisy environments • Bending, lifting, stretching, reaching, standing and walking for up to 8+ hours a day • Ascending and descending ladders, stairs, and gangways safely and without limitation This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Essential Requirements: • Ability to travel to or commute between data center locations as needed • Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational • Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. BASIC QUALIFICATIONS- 2+ years of data center, critical environment, computer hardware repair, infrastructure cabling, network deployment, or data center operations experience, or experience in similar technical roles - 2+ years of network cabling, fiber optics, and test equipment including VFL, power meter, and OTDR experience - Experience with network hardware: copper and optical fiber cabling, switches, routers PREFERRED QUALIFICATIONS- Bachelor's degree in an IT-related field (e.g., Computer Science, Network Engineering), or experience in professional or military IT-related roles - certification in a relevant field (CCENT - Cisco Certified Entry Networking Technician, Network+, or CCNA - Cisco Certified Network Associate) - Experience in a data center or other critical environment - Work flexible schedule including weekends, nights, and holidays - Experience conducting behavioral interviews and hiring Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, MS, Canton - 27.83 - 48.75 USD hourly

Are you a Data Engineering and Architecture specialist? Do you have experience designing and building Data Lakes, Data Warehouses, and scalable data platforms in the cloud? Do you want to help Public Sector customers deploy mission-critical data and ML solutions at scale? Are you detail-oriented, creative, and collaborative? Then this is the position for you. As a Delivery Consultant specializing in Data Engineering & Architecture, you will provide exceptional technical design and thought leadership for cloud data applications, working with a world-class team serving federal, state, local government, and national security customers. You will design, build, and optimize data architectures and platforms that help organizations achieve their missions through data-driven decision making. You will gain the opportunity to learn from, collaborate with, and educate some of the brightest technical minds in the industry across the breadth of enterprise data architecture. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. This is a customer-facing role. You will work from one of the listed locations (or customer sites) Monday through Friday each week. Travel to client locations to deliver professional services may be required. This is not a remote position. This position requires that the candidate selected be a US Citizen and currently possess and maintain an active Top Secret security clearance. Key job responsibilities As an experienced data professional, you will be responsible for: - Helping clarify customer business outcomes during project discovery and translating them into data architecture and engineering solutions - Designing and building data analytics applications that are secure, scalable, reliable, performant, and cost-effective - Collaborating with stakeholders to gather requirements, assess current infrastructure, and propose effective data migration and modernization strategies - Identifying, mitigating, and communicating risks related to solution and service constraints by making informed technical trade-offs - Acting as a trusted advisor to customers on industry trends, emerging data technologies, and innovative solutions - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field - Experience with SQL, Python, schema definition, and software engineering best practices including secure, testable, and maintainable code - Understanding of distributed systems, data integration techniques (ETL vs. federation), database optimization (partitioning, indexing), and relational database performance tuning - Current, active US Government Security Clearance of Top Secret or above PREFERRED QUALIFICATIONS- Experience building data platforms with AWS services such as Glue, Lake Formation, Athena, Kinesis, and Lambda - Experience with CI/CD automation (CDK or Terraform), physical data modeling (Dimensional, Data Vault), and data pipeline optimization - Experience leading end-to-end data engineering projects including migrating on-premises data applications to cloud-native architectures - Experience interfacing with customers at different organizational levels to translate requirements into scalable data architectures - Knowledge of security and compliance standards (e.g., FedRAMP, NIST, HIPAA) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, VA, Arlington - 131 600.00 USD annually USA, VA, Herndon - 131 600.00 USD annually

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. What We Need: Multiple Positions Available COMPANY: McKesson Corporation POSITION: Sr. IAM Engineer LOCATION: 6555 State Highway 161, Irving, TX 75039 JOB DUTIES: Responsible for following the standards of McKesson for Identity, IGA, Access Management, and related environments. Perform hands-on support and integration of IAM solutions across multiple platforms as required, including but not limited to Identity Governance, Federation and custom development as needed. Provide expert advice and assistance relating to all aspects of identity Management to broader IT, BU, and international teams, while communicating concepts of IAM to a broad range of audiences inside and outside of the team. Support integration activities with IGA, Access Management, Privileged Access Services etc. Collaborate closely with the various global Security, Information Technology, BU, and application teams to ensure IAM tools, configurations, and industry best practices are implemented uniformly across the enterprise. Frequently evaluate IAM technologies and services and stay current on the latest technologies and trends. Create and maintain technical documentation such as SOPs, design documents, operational drawings, manuals, etc. Provide support when needed for Directory, IAM services, servers, and databases. Telecommuting permitted up to 75% of the week from the Irving, TX metropolitan area. REQUIREMENTS: Bachelor's degree, or foreign equivalent, in Computer Science, Business Administration, Management Information Systems, or a related Cybersecurity field and five (5) years of experience in the job offered or a related field. ALTERNITIVELY , Master's degree, or foreign equivalent, in Computer Science, Business Administration, Management Information Systems, or a related Cybersecurity field and three (3) years of experience in the job offered or a related field. Applicant must have three (3) years demonstrated experience in each of the following: Sailpoint Identity Security Cloud. Implementing User Access reviews with Sailpoint Identity Security Cloud. Integrating applications with Sailpoint Identity Security Cloud. Developing access controls using Active Directory and Azure AD / Entra. Using Privilege Access Management. Automating user provisioning and reporting using scripting languages PowerShell and Python. Relational databases Oracle and Microsoft SQL Server. Programming with Java / J2EE and Javascript. Applicant must have demonstrated experience in each of the following: Identity and Access Management practice and concepts. Sarbanes Oxley, SOC2, and HIPPA compliance. Software Development Life Cycle processes. Leading application integration efforts. Communication to non-technical stakeholders on project & sprint progress. OFFERED WAGE: $180,250 - $186,400/year CONTACT: To apply, please send resumes to . Reference #: 002215. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Role Summary The Principal Enterprise Architect, Digital Solutions is a senior leader responsible for defining and advancing the enterprise digital architecture strategy that enables scalable, secure, and innovative digital solutions for US Oncology Practices. This role partners closely with executive leaders, business stakeholders, clinical teams, and technology teams to translate Practice strategy into cohesive architectural direction. Key Role Success Metrics Unified enterprise architecture blueprint established and regularly updated as needed. Multi-year digital roadmap delivered and socialized, with regular updates as needed. Architecture governance adopted across teams. Modernization and interoperability improvements realized. Key Responsibilities Define and evolve the enterprise digital architecture vision, principles, and roadmaps aligned with business objectives. Provide architectural leadership for major digital initiatives, platform strategies, and transformation programs. Advise executives and senior leaders on technology trends, risks, and long-term architectural implications. Ensure digital solutions are secure, scalable, interoperable, and compliant with enterprise and regulatory standards. Establish and maintain reference architectures, patterns, and governance. Influence and mentor architects and technical leaders through thought leadership. Role Characteristics Enterprise-wide scope with significant strategic and technical influence. Operates effectively in highly complex and ambiguous environments. Combines deep technical expertise with business and strategic acumen. Recognized authority for digital architecture and cross-domain design decisions. Required Qualifications 15+ years in enterprise architecture or engineering leadership roles. Expertise in cloud modernization, multi-tenant platforms, and large-scale system design. Strong integration architecture background with APIs and interoperability standards. Experience with data platforms, semantic layers, analytics, and governed access models. Familiarity with clinical systems and oncology digital workflows preferred. Preferred Qualifications Experience in oncology, clinical operations, or life sciences. Certifications: TOGAF, AWS/Azure Architect. Experience applying AI/ML to enterprise digital solutions, defining AI platform standards, and familiarity with cloud native AI services Working Conditions Environment (Office, warehouse, etc.) - Normal office environment Physical Requirements (Lifting, standing, etc.) - Normal office environment requirements Travel Up to 25% travel required We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $187,400 - $312,400 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

Job Description Job Description WindWright, a subsidiary of Stratolaunch, accelerates hypersonic development by improving the capacity and capabilities of ground test facilities using digital engineering environments. Our advanced modeling and simulation, synthesized with ground and flight test data, are integrated into authoritative digital models that advance ground test productivity, accuracy, and repeatability improvements across the full customer development campaign. WindWright's digital engineering framework also enables efficient test planning, rapid test data review, and deeper analysis of the test results, leading to reduced customer costs and risks. WindWright is developing facility instrumentation and control (I&C) systems to support wind tunnel testing efforts with defense and commercial applications. WindWright seeks a Control Systems Software Engineer to support instrumentation, data acquisition, and control system development for an existing high-speed wind tunnel. Candidates must have a closed loop controls background. Experience with aerospace or defense controls design is a strong plus. In this role, you will support the development, implementation, testing, and operation of instrumentation and control systems at WindWright. Your responsibilities will include developing and testing closed loop (PID) control algorithms, selecting and configuring controller hardware, analyzing and interpreting data from controller tests and operations, tuning controllers, calibrating instrumentation, and supporting PLC and HMI programming as needed. ESSENTIAL RESPONSIBILITIES Develop control logic for various control systems applications Develop and implement software for real-time operating systems (RTOS) Program controllers and human machine interfaces Set up and conduct bench tests to validate control system functionality Analyze test results and make necessary adjustments to software and control logic Collaborate with hardware engineers to ensure seamless integration of software and hardware components Maintain detailed documentation of software designs, test plans, and test results Identify, document, and communicate design requirements, constraints, and risks Support the preparation of business proposals to the US Government and industry Travel, as needed, to support the company Demonstrate honesty, responsibility, integrity, and fulfillment of commitments QUALIFICATIONS & SKILLS To perform this job successfully, an individual must be able to perform each essential responsibility satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Required Qualifications: Strong understanding of control systems, state machine, and logic design principles Experience with RTOS programming and real-time systems Experience with compiled or interpreted programming languages such as C/C++, Python, etc. Excellent problem-solving skills and attention to detail Strong communication and teamwork abilities Ability to obtain a security clearance at the TS/SCI level Preferred Qualifications: Strong understanding of ethernet protocols and network configuration Experience using emulators, simulation, or mock-ups to develop control systems Proficiency with instrumentation and data acquisition development Proficiency in PLC programming languages (e.g. ladder logic, function block diagrams, structured text) Active TS/SCI security clearance Required Computer Skills: Experience with computer-aided design (CAD) software tools Controls software languages (C, LabVIEW, Simulink, VxWorks, or similar) MS Office (Word, Excel, Outlook, PowerPoint) Education/experience/certifications Bachelor's degree in Computer Engineering, Control Systems Engineering, or a related field 3+ years of experience in control systems software development and testing Level II ($88,000-$128,000): Bachelor's degree or higher from accredited institution and 2-5 years of engineering experience, OR equivalent combination of education and experience Sr Level ($108,500-157,500): Bachelor's degree or higher from accredited institution and 5-10 years of engineering experience, OR equivalent combination of education and experience Staff-level ($136,000-$197,500): Bachelor's degree (B.S.) from accredited institution and 10-20 years of relevant experience, OR equivalent combination of education and experience Benefits and our location: Relocation eligible to local area - Sandusky, OH 9/80 schedule Healthcare ( medical, dental, vision, prescription drugs ) Paid Maternity and Parental Leave 50% company match per contributed dollar into 401(k) savings plan up to the IRS annual limit Tuition reimbursement Sandusky, Ohio, is nestled along the southern shore of Lake Erie, offering an affordable lifestyle with easy access to some of the Midwest's best attractions. Known for its small-town charm and scenic views, Sandusky is just an hour's drive from Cleveland, providing central access to a range of outdoor and urban activities. For adventure seekers, Sandusky is home to the world-famous Cedar Point Amusement Park, known for its record-breaking roller coasters and thrilling attractions. Lake Erie offers abundant opportunities for boating, fishing, and waterfront fun, with nearby islands like Kelleys Island and Put-in-Bay perfect for day trips. Nature lovers can explore local parks and the nearby Cuyahoga Valley National Park, located just a couple of hours away. Not big on the outdoors? You're within a short drive of Cleveland, Toledo, and Detroit, cities filled with live entertainment, museums, professional sports teams, and cultural sights like the Rock & Roll Hall of Fame. The area is also rich in history, with Sandusky playing a key role in the Underground Railroad, and the nearby Marblehead Lighthouse offering a glimpse into Ohio's maritime past. For food enthusiasts, Sandusky and the surrounding region offer a variety of culinary delights, from local seafood fresh from Lake Erie to renowned ice cream at Toft's Dairy. Wine lovers will enjoy exploring the Lake Erie Wine Trail, while craft beer fans can sample locally brewed options at Sandusky's growing number of breweries. Applicants must be a US Person to be considered for this role - To be considered for this position, applicants must be U.S. Persons as defined in 22 C.F.R. 120.67, which includes (a) U.S. citizens; (b) U.S. nationals; (c) U.S. lawful permanent residents; (d) persons granted refugee status; and (e) persons granted asylum. WindWright is an equal opportunity employer that values diversity at our company. We encourage people from all walks of life to apply, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other characteristic protected by law. Our management team does not tolerate discrimination or harassment at any point during our employees' and applicants' time with us, especially with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities, and general treatment during employment. For purposes of transparency, U.S. Citizenship may be required for some positions with a government clearance and certain other restricted positions. Equal Employment Opportunity is the Law:

Job Description Job Description About Orbia Polymer Solutions Vestolit: You are purpose driven. Growth minded. Ready to stretch your potential. That's the spirit of the community you will find at Orbia: where the purpose to advance life around the world drives our global team of over 23,000 every single day. From creating solutions to deliver clean water, secure food supplies and reliable information to steering material advances that power the future of green and smart cities, transportation, and healthcare, we never settle for "good enough" when there's an opportunity to make life better. Where purpose comes to life, it changes lives. This is what we live for. MAIN PURPOSE Providing automation, instrumentation and controls engineering capabilities and experience to the Manufacturing facilities of PS-Vestolit, including generating qualification protocols and maintaining the validated state of systems and processes, providing support with respect to the automation and instrumentation and control systems for process, utility and production systems. Supporting automation impacting projects with large and/or complex scope. Driving strategic initiatives to optimize manufacturing processes across PS-Vestolit sites, driving efficiency, reducing cycle time, and improving reliability through best-practice identification, process control, deployment of new technologies including digital engineering tools, Industry 4.0/IIoT, AI, cloud solutions and others. DIMENSIONS OF JOB The role of Process Control Manager is to establish PS-Vestolit's organizational competency related to technology enablement with the objective of achieving tangible operations improvements, which translates into business benefits: e.g., OEE improvement, cycle time reduction, enabling bottom-up real time information flow from plants. This role will work closely with the Global Operations VP, PS-Vestolit Plant Managers and Control Systems Engineers at the sites, to create an overall technology strategy that aligns with business objectives and priorities to improve business value. MAIN RESPONSIBILITIES: Identify initiatives to implement innovative technology which provide digital capabilities and tools to create a data driven decision making culture. Build and support operation of digital dashboards based on real-time plant/manufacturing data, including an Alarm Management System. Support the PS-Vestolit automation strategy for the facilities, ensuring alignment with global standards and local manufacturing needs. Help establish the baseline for data quality as the foundation upon which we can build digital innovation solutions. Partner with IT/OT and Operations stakeholders to ensure data integrity and compliance across all automated platforms. EDUCATION Minimum: Bachelor's degree in Engineering, Computer Science, IT or related engineering or scientific discipline. Desirable: Master's studies in Process Control or equivalent. KNOWLEDGE AND SKILLS REQUIRED Professional with knowledge and skills in requirements gathering, design, configuration, integration, and implementation of automation solutions for the manufacturing industry including PLC / DCS systems, field bus technology, HMI packages and panels, OPC, SCADA systems and historians in both continuous and batch automation applications, and knowledge of field instrumentation, to drive operational efficiencies through process optimization analytics like predictive quality, predictive throughput, predictive energy efficiency, and autonomous automation technology, freeing people (operators, engineers, maintenance, etc.) to focus on solving problems. Knowledge of all components of holistic digital architecture and Process Control systems. Understanding and working knowledge of Big Data/Analytics, AI/ML, and emerging technology trends. EXPERIENCE REQUIRED A minimum of 5 years' experience involved in the design, implementation, and/or support of control systems, preferably in the chemical industry, with emphasis in process control, advanced proficiency in DCS, PLC, HMI, SCADA architecture, Industry 4.0/IIoT, manufacturing dashboards. Extensive leadership experience in chemical plants automation. We welcome purpose-driven dreamers, doers, and builders, recognising that it takes difference to make a difference. If you're ready to bring your skills, talents, and perspective to moving your career, the company, people, and the planet forward, we'd like to hear from you. We believe that every voice matters; every community deserves respect; and every challenge is an opportunity and united by empathy, we are stronger for our different perspectives. We are dedicated to building a more diverse, inclusive, and equitable workplace that supports the needs of all our employees regardless of their role, location, identity, and background. The compensation for this position is $98,000 - $181,000. The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity. The compensation package may also include short and long-term incentive compensation. We offer a comprehensive benefits package that includes healthcare coverage, a 401(k)-retirement savings plan, paid company holidays, paid vacation time, paid sick time, parental leave, short- and long-term disability leave, and an employee assistance program. At Orbia, we are committed to taking care of our employees and believe in providing comprehensive support so you can thrive at work and home. Orbia is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, marital status, national origin, age, disability, genetic information, veteran status, or any other status protected by applicable federal, state, or local law.

Job Description Job Description Job Description The AI Expert - Robotics will lead the design, development, and integration of artificial intelligence and machine learning capabilities into robotic systems. This role combines deep expertise in AI/ML with hands-on robotics experience to build intelligent, autonomous, and adaptive robotic solutions for mission-critical applications. Responsibilities Design and develop AI-driven algorithms for robotic perception, decision-making, planning, and control Integrate machine learning and artificial intelligence models into robotic platforms and embedded systems Develop and optimize computer vision, sensor fusion, and autonomy solutions for robotics applications Collaborate with mechanical, electrical, and software engineering teams to ensure end-to-end system integration Train, evaluate, and deploy ML models in real-world robotic environments Support simulation, testing, validation, and field deployment of AI-enabled robotic systems Analyze system performance and continuously improve autonomy, accuracy, and reliability Document system architectures, models, and technical designs Stay current with emerging AI, ML, and robotics technologies and best practices Required Qualifications Bachelor's degree in Robotics, Computer Science, Artificial Intelligence, Engineering, or a related field 5+ years of experience in AI/ML and robotics development Strong programming experience in Python and/or C++ Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) Experience working with robotic systems, sensors, and actuators Solid understanding of robotics fundamentals including kinematics, controls, and perception Experience deploying AI models to production or real-world environments Preferred Qualifications Master's degree or PhD in AI, Robotics, or a related discipline Experience with ROS / ROS2 and robotic middleware Background in autonomous systems, mobile robots, or robotic arms Experience with computer vision, deep learning, or reinforcement learning Familiarity with simulation environments (e.g., Gazebo, Isaac Sim) Experience supporting government, defense, or regulated programs Ability to obtain and maintain a security clearance if required by contract

Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Principal 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, product, data, and technology leaders to define the architectural foundation for AI across Weyerhaeuser. Working at the intersection of strategy and engineering, you will establish reference architectures, design patterns, and technical standards that enable teams to rapidly build secure, scalable, and reusable AI capabilities. Your work will shape how AI is integrated into business workflows, enterprise platforms, and operational systems accelerating innovation while ensuring solutions remain governable, resilient, and aligned with enterprise standards. You'll evaluate and guide the adoption of modern AI technologies including large language models, intelligent agents, cloud AI services, enterprise data platforms, and emerging interoperability standards while selecting the right technologies for the problem rather than building around any single vendor or framework. Key Responsibilities Enterprise AI Architecture - Define and evolve Weyerhaeuser's enterprise AI architecture, reference architectures, and technical standards. Establish scalable, secure, and reusable architectural patterns that enable AI to become a core enterprise capability while ensuring interoperability, governance, and long-term maintainability. AI Platform Strategy - Define the architectural foundation for enterprise AI platforms supporting machine learning, generative AI, intelligent agents, and optimization. Guide technology strategy, platform evolution, and the adoption of emerging AI capabilities while balancing innovation, operational maturity, and business value. Technical Leadership - Provide technical leadership across the enterprise through architecture reviews, mentoring, engineering standards, and reusable design patterns. Establish engineering standards, reusable design patterns, architecture reviews, and technical guidance across the engineering teams for AI solutions. Enterprise Collaboration - Partner with business, product, engineering, data, cybersecurity, and enterprise architecture teams to translate strategic business opportunities into technical solutions. Drive alignment across organizations to ensure AI capabilities integrate seamlessly into enterprise platforms and business workflows. Responsible AI & Operational Excellence - Embed Responsible AI principles throughout the AI lifecycle by defining architectures that emphasize security, governance, transparency, observability, performance, reliability, and cost efficiency. Ensure AI solutions are designed for enterprise-scale operations and deliver measurable business outcomes. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related technical discipline. Master's degree or PhD preferred. 10+ years of experience designing and delivering technology solutions on edge, cloud, and data platforms. Demonstrated success defining architecture for complex, distributed systems operating at enterprise scale. Deep understanding of modern AI technologies, including machine learning, generative AI, and intelligent agent architectures with one or more major enterprise AI ecosystems such as Microsoft Azure AI, AWS, Google Cloud, OpenAI, Anthropic, Snowflake, Databricks, SAP, or comparable platforms. Experience designing reusable patterns, shared services, developer frameworks, and engineering accelerators that improve enterprise AI delivery. Experience applying AI across one or more domains (the more the better): manufacturing/industrial, commercial (sales, supply chain, logistics), corporate functions (IT, HR, Finance, Legal, Procurement), or geospatial/GIS. Experience implementing AI governance, Responsible AI practices, model lifecycle management, evaluation frameworks, observability, or MLOps. Experience influencing technical direction across the enterprise through technical leadership rather than direct authority. Excellent communication skills with the ability to engage executive, business, and technical audiences. Why Join Weyerhaeuser? At Weyerhaeuser, you'll have the opportunity to shape the future of sustainable forestry through AI-driven innovation. As Senior AI Architect, you will define how advanced AI - from predictive analytics to generative and edge intelligence - is designed, built, and deployed to enhance operations, sustainability, and growth. Your work will transform how forests are managed, mills operate, and teams collaborate - advancing Weyerhaeuser's mission to be the world's premier timber, land, and forest products company. 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. 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.