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Principal AI Engineer
Smartsheet. Own the target-state architecture for Smartsheet's AI platform, integrating Data, Agents, Knowledge Graph, and Context Graph .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting production agentic systems, with a strong focus on Databricks and AWS platforms. Capable of driving architectural decisions, establishing technical standards, and fostering collaboration across teams.
Highest-signal resume keywords
Architecting Production Agentic SystemsDatabricks Platform ExperienceKnowledge and Context Graph SystemsOrchestration Design and GovernanceCross-Functional Communication
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Agent Harness DesignOntology DesignIngestion PipelinesPrototyping and ValidationVersioned Software InterfacesCost and Latency InstrumentationArchitectural TradeoffsDeployment PatternsObservability with MLflowResponsible AI
Soft Skills
Excellent CommunicationJudgment on Architectural Tradeoffs
Tools & Technologies
AWS BedrockDatabricksStrands SDKMCP (Model Context Protocol)AgentCore
Industry Keywords
AI Platform ArchitectureGovernancePrototype to ProductionCross-Team Technical StandardsTechnical DRI
Tech Stack
Tools & technologiesAWS
About the role
Key responsibilities & impact- Own the target-state architecture for Smartsheet's AI platform, integrating Data, Agents, Knowledge Graph, and Context Graph
- Set the architecture for the agent harness and sub-agent framework, including orchestration, lifecycle, hand-off contracts, Evals, and capability-tier classification
- Design and own schemas/ontologies, ingestion and freshness pipelines, and retrieval and grounding patterns
- Build and maintain a reusable reference agent framework for orchestration, tracing, and deployment
- Author and publish a shared skills and tools library with interface contracts and versioning
- Build prototypes to de-risk architecture decisions and define criteria for promoting prototypes into supported capabilities
- Define deployment, security, governance, and prototype-to-production patterns
- Serve as primary technical lead for strategic technology partners including Databricks, AWS, and Anthropic
- Partner with Principal Engineers and team leads to align platform milestones through architecture authority and prototypes
- Support Forward Deployed Engineering and review MCP/external parity gate criteria
- Drive architecture decisions to closure and keep the escalation backlog near zero
Requirements
What you’ll need- Deep, hands-on experience architecting production agentic systems on Databricks Platform, AWS Bedrock/AgentCore and MCPs
- Experience in agent harness/orchestration design, sub-agent boundaries, tracing and observability (e.g., MLflow), Evals, Governance, Responsible AI and cost/latency instrumentation at platform scale
- Strong background in Knowledge and Context graph based systems, including ontology design, ingestion pipelines, and retrieval/grounding evaluation
- Builder's track record: rapidly prototype, ship working software, and validate patterns through adoption
- Experience designing reusable, versioned software interfaces, skills, tools, and libraries with clear contracts and promotion criteria from prototype to production
- Familiarity with Databricks, Bedrock, Strands SDK, and MCP (Model Context Protocol)
- Experience operating as a technical DRI in strategic partner relationships with Databricks, AWS, Anthropic, or similar partners
- Proven ability to set cross-team technical standards and drive alignment without formal management authority
- Strong judgment on architectural tradeoffs involving model selection, inference patterns, deployment, and governance
- Excellent cross-functional communication skills and ability to translate ambiguity into documented architecture decisions
- Legally eligible to work in India on an ongoing basis
Benefits
Comp & perks- Equal employment opportunities in accordance with applicable laws
- Inclusive environment with diverse perspectives and nontraditional paths
- Freedom to explore, push boundaries, and grow beyond the role
- Support for interview accommodations to ensure a comfortable and positive interview experience