Lead discovery workshops and translate ambiguous business challenges into AI solution roadmaps.
Design, prototype, and deploy Enterprise AI assistants, copilots, and agentic workflows.
Build proof-of-concepts and rapidly validate business value.
Collaborate with platform teams to productize successful solutions using shared enterprise platforms.
Define evaluation frameworks, KPIs, and success metrics for AI initiatives.
Guide stakeholders on AI adoption, operationalization, governance, and responsible AI practices.
Drive reusable patterns across AI productivity, knowledge management, customer support, engineering effectiveness, and enterprise operations.
Required Qualifications
10+ years of engineering experience delivering complex software, data, and AI solutions in enterprise environments.
Demonstrated experience designing, building, and deploying AI-enabled business solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), semantic search, and agentic workflows.
Strong software engineering background spanning cloud-native architectures, APIs, microservices, distributed systems, data pipelines, and enterprise integrations.
Experience developing AI copilots, assistants, workflow automation, and productivity solutions that drive measurable business outcomes.
Experience establishing evaluation frameworks, observability, experimentation, and performance metrics for AI systems.
Ability to rapidly prototype solutions, validate business value, and scale successful pilots into production-grade platforms.
Experience working directly with business stakeholders to translate ambiguous challenges into technical solutions and strategic roadmaps.
Strong communication, storytelling, and executive presentation skills.
Preferred Qualifications
Experience with multi-agent systems, agent orchestration, MCP-based integrations, knowledge graphs, and enterprise search.
Hands-on experience with modern AI platforms and cloud ecosystems including Microsoft CoPilot Studio, AWS Bedrock and vector database technologies.
Experience building reusable platform capabilities, SDKs, shared services, and architectural patterns that accelerate enterprise-wide adoption.
Knowledge of Responsible AI, AI governance, security, and compliance requirements.
Experience with product analytics, telemetry, experimentation, and AI observability platforms.
Background spanning multiple engineering disciplines including software, data, AI/ML, cloud infrastructure, and platform engineering.
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.
- EEO is the Law: Notice of Applicant Rights Under the Law.
- Job Req Type: Experienced
Required Travel: No
Shift Type: 1st Shift/Days
The expected wage range for a new hire into this position is $200,000 to $275,000.
Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.
This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.
This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.
