Job Title: Senior AI Engineer
Compensation: $175,000 - $190,000 base salary
Location: Full-time onsite
About the Role:
This is a high-impact opportunity to join a central AI Enablement team responsible for shaping how AI is built, deployed, and scaled across a large global engineering organization. Operating as a “hub” within a hub-and-spoke model, this team defines the platforms, frameworks, and standards that power AI adoption across 800+ engineers.
You’ll focus on building production-grade AI systems, not prototypes - developing reusable agentic capabilities and RAG pipelines that are embedded directly into enterprise products. This role combines hands-on engineering with cross-functional influence, working closely with multiple business units to standardize and accelerate AI adoption at scale.
What You’ll Do:
- Build and deploy production-ready agentic AI systems across multiple product lines
- Develop and scale RAG pipelines over internal codebases and documentation
- Contribute to a multi-agent framework (LangChain / LangGraph or similar)
- Partner with distributed engineering teams to drive adoption and standardize AI patterns
- Establish best practices for GenAI system design, evaluation, and deployment
- Collaborate with platform and DevOps teams to ensure scalability, reliability, and security
- Help evolve internal AI tooling and developer workflows across the organization
What You’ll Bring:
- Strong experience in enterprise software engineering with production-scale systems
- Proven track record of shipping GenAI features into production environments
- Advanced proficiency in Python
- Hands-on experience with RAG, vector databases, and agent-based architectures
- Deep familiarity with modern AI tooling (e.g. OpenAI, Anthropic, Copilot, etc.)
- Ability to work cross-functionally and engage stakeholders across engineering teams
- Strong understanding of system performance, security, and software quality
Tech Stack:
- Python
- LangChain / LangGraph (or similar frameworks)
- Vector databases and semantic search
- LLM APIs (OpenAI, Anthropic, etc.)
- Internal developer platforms and tooling
- Observability tools (e.g. Dynatrace)
- Enterprise-scale distributed systems
Why Join?
- Play a central role in a company-wide AI transformation initiative
- Operate within a high-visibility “center of excellence” team influencing 800+ engineers
- Work on real production systems with immediate business impact
- Combine enterprise stability with a serious, well-funded AI mandate
- Shape how AI is standardized and deployed across a global product ecosystem
- Fast, streamlined interview process with direct leadership engagement
About People In AI:
People In AI connects top-tier talent with the most ambitious companies in artificial intelligence. We work with founders, VCs, and engineering leaders to build world-class teams shaping the future of machine learning and AI infrastructure.
