About Analog Devices

Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and X .

Staff AI Software Engineer

About the Role .

As a Staff AI Engineer , you will play a pivotal role in shaping the next generation of AI platforms and standards. This position focuses on building foundational capabilities that enable scalable, secure, and efficient AI solutions across the enterprise. You will work on cutting-edge areas such as Agentic AI , Generative AI and leveraging cloud-native architectures with modern orchestration frameworks.

In this role, you will:

• Design and implement platform enablers that accelerate AI adoption, including reusable components, APIs, and integration patterns.
• Develop and deploy agentic AI systems , ensuring they are robust, compliant, and aligned with organizational goals.
• Collaborate with model providers and ecosystem partners to evaluate, integrate, and optimize large-scale models for diverse use cases.
• Establish best practices and standards for AI development, deployment, and governance across multi-cloud environments.
• Drive innovation by exploring emerging technologies and translating them into practical solutions that deliver measurable business impact.

This is a highly technical and strategic role requiring deep expertise in AI/ML engineering, cloud platforms (AWS, Azure, GCP), and modern AI frameworks. You will work closely with cross-functional teams to ensure that AI solutions are not only powerful but also scalable, secure, and aligned with enterprise architecture principles.

Key Responsibilities

• Architect and deliver AI platform capabilities that enable scalable, secure, and reusable AI solutions across the enterprise.
• Develop and deploy agentic AI systems that incorporate reasoning, planning, and autonomous workflows.
• Design and optimize large-scale model training and fine-tuning pipelines , leveraging distributed and cloud-native infrastructure.
• Integrate and manage models from multiple providers (e.g., OpenAI, Anthropic, AWS Bedrock) to support diverse business use cases.
• Establish and enforce AI engineering standards , including security, compliance, and governance for multi-cloud environments.
• Collaborate with cross-functional teams (data, cloud, security, product) to align platform capabilities with strategic objectives.
• Mentor engineers and promote best practices in AI architecture, agentic systems, and generative AI development.
• Drive innovation and evaluate emerging AI technologies , translating them into enterprise-ready solutions.

Must Have Skills

• Hands-on experience with cloud platforms (AWS, Azure, GCP) and cloud-native architectures.
• Proficiency in building agentic AI systems and orchestration frameworks.
• Strong knowledge of model providers and ecosystems (OpenAI, Anthropic, AWS Bedrock, Hugging Face, etc.).
• Experience creating platform enablers (APIs, reusable components, integration patterns) for AI solutions.
• Solid understanding of distributed systems, scalability, and performance optimization for AI workloads.
• Programming Knowleadge in Python and familiarity with modern AI frameworks (PyTorch, TensorFlow, LangChain, etc.).
• Ability to define and implement standards for AI development, deployment, and governance.
• Excellent collaboration and communication skills to work across technical and business teams.

Preferred Education and Experience

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.
• 7+ years of hands-on experience in AI/ML engineering, with a focus on Generative AI, Agentic AI, and large-scale model training.
• Proven track record of designing and deploying AI solutions in production environments, ideally within cloud-native architectures.
• Experience building AI platforms and enablers , including APIs, orchestration frameworks, and reusable components.
• Strong background in distributed systems and cloud technologies (AWS, Azure, GCP), including security and compliance considerations.
• Demonstrated ability to lead technical strategy , mentor engineers, and establish best practices for AI development and governance.

Why You’ll Love Working at ADI
At Analog Devices, you'll be part of a collaborative and innovative team that's shaping the future of technology. We offer a supportive environment focused on professional growth, competitive compensation and benefits, work-life balance, and the opportunity to work on cutting-edge projects that make a real impact on the world.
You'll have access to continuous learning opportunities and mentorship from industry experts. Join us and help create the technologies that bridge the physical and digital worlds, making a tangible difference in how people live, work, and connect.

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For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.