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Principal Forward Deployed Engineer, Enterprise AI Productivity
Analog Devices. Partner directly with business leaders to identify productivity bottlenecks and growth opportunities .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and deploying AI-enabled business solutions, leveraging Large Language Models and cloud-native architectures. Proven ability to translate business challenges into technical roadmaps while ensuring responsible AI practices and measurable outcomes.
Highest-signal resume keywords
AI Solution DesignLarge Language Models (LLMs)Cloud-Native ArchitecturesAI GovernancePrototyping and Validation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringAI Copilots DevelopmentData PipelinesMicroservicesDistributed SystemsEnterprise IntegrationsEvaluation FrameworksPerformance MetricsWorkflow AutomationKnowledge Graphs
Soft Skills
Strong CommunicationStorytellingExecutive Presentation Skills
Tools & Technologies
Microsoft CoPilot StudioAWS BedrockVector Database TechnologiesAI Observability Platforms
Industry Keywords
Responsible AIAI GovernanceCompliance RequirementsProduct AnalyticsExperimentation
Tech Stack
Tools & technologiesAWSCloudDistributed SystemsMicroservices
About the role
Key responsibilities & impact- Partner directly with business leaders to identify productivity bottlenecks and growth opportunities
- 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
Requirements
What you’ll need- 10+ years of engineering experience delivering complex software, data, and AI solutions in enterprise environments
- 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
- 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
- Knowledge of Responsible AI, AI governance, security, and compliance requirements
- Experience with product analytics, telemetry, experimentation, and AI observability platforms
- Background spanning software, data, AI/ML, cloud infrastructure, and platform engineering
- Applicants other than US Citizens, US Permanent Residents, and protected individuals may have to undergo export licensing review
Benefits
Comp & perks- Discretionary performance-based bonus based on personal and company factors
- Medical coverage
- Vision coverage
- Dental coverage
- 401k
- Paid vacation
- Paid holidays
- Sick time
- Other benefits