Senior Forward Deployed AI Engineer
REMOTE, USAFull-TimeSenior
Salary227500 - 245000 USD per year
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Job Details
- Experience
- 6–10+ years production software engineering, including 3+ years deploying AI/ML to production
- Required Skills
- PythonJavascriptTypeScriptLLM
Requirements
- 6–10+ years production software engineering
- 3+ years deploying AI/ML to production
- Deep Python
- Strong TypeScript/JavaScript
- Proven track record leading complex enterprise technical engagements
- Deep production LLM experience: multi-agent orchestration, MCP/tool-use, RAG optimization, evaluation frameworks, agent deployment at scale
- System architecture expertise spanning enterprise systems, cloud infrastructure, and AI services
- Demonstrated ability to create reusable technical assets
- Strong written and verbal communication
- Ability to travel approximately 25–50% of the time
- BS or MS in Computer Science, a related field, or equivalent industry experience
Responsibilities
- Lead complex, multi-system AI deployments end-to-end scope, architect, build, validate, and manage the customer relationship throughout
- Own the AI workshop program for your pod, customize modules per customer, lead technical sessions, translate outputs into production requirements, evolve content from field learning
- Architect multi-agent solutions selecting the right coordination pattern for each customer’s workflow characteristics and compliance requirements
- Design client-specific and industry-specific MCP resource packs that serve personalized intelligence from the server so every connected AI surface gets smarter for that customer automatically
- Own Deployment Kit quality for your pod. If a kit is not documented well enough for a solutions consultant with no engineering background to follow, it isn’t done
- Lead Solutions Enablement Sprints: transfer AI deployment patterns to solutions consultants and partners with training materials and certification criteria
- Drive the intelligence loop: author strategic memos, present field findings weekly, contribute Agent Bricks and Skills, file RFCs for platform improvements
- Mentor junior FDEs on customer engagements, code reviews, and Deployment Kit quality
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