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Staff AI Enablement Engineer

Talkiatry

Skills

Required

  • evaluation
  • ML
  • agentic systems
  • software engineering
  • ML-based
  • model selection

Preferred

  • lightweight AI governance frameworks
  • vector search / RAG
  • model evaluation frameworks
  • observability
  • LLM-based systems
  • conversational AI / virtual assistant
  • generative AI

Talkiatry as a Staff AI Enablement Engineer, where you'll define and drive the use of generative AI and automation across our engineering organization. This role involves designing and shipping working automations and agents, embedding proven AI practices, tools, and infrastructure into daily workflows, and applying AI and ML to core business processes. You'll work closely with engineering and product leaders, diagnose team-level workflows, and own the AI enablement roadmap. Additionally, you'll evaluate and pilot AI coding assistants, design and operate automation agents, and champion AI/automation best practices across engineering.

Define and drive the use of generative AI and automation across the engineering organization, designing and shipping working automations and agents.

Responsibilities

  • Act as engineering's subject-matter expert on generative AI, agentic systems, and AI-assisted software development, tracking the landscape closely.
  • Own the AI enablement roadmap end-to-end, proposing it, getting buy-in from engineering leadership, executing against it, and reporting on impact.

Requirements

  • 8+ years in software engineering, with a track record of shipping production systems end-to-end
  • Excellent written and verbal communication; comfortable presenting roadmap, tradeoffs, and results to engineering leadership
  • Working knowledge of applied ML fundamentals sufficient to help move a heuristic system toward a proper ML-based approach (features, evaluation, model selection, collaborating with/acting as a data scientist)
  • Demonstrated ability to drive technical adoption across an engineering organization without direct authority — through credibility, clear communication, and working software, not mandates
  • Hands-on experience building with LLMs and agentic systems — prompt engineering, context/tool design, evaluation, and orchestration
  • Strong product instincts for internal tooling: you talk to your "users" (fellow engineers), prioritize ruthlessly, and ship iteratively
  • Real, production-level experience with modern AI coding assistants and agentic dev tools — not just awareness of them — and a clear point of view on when and how they add value

Preferred

  • Prior experience in a staff/principal-level IC role, ideally with cross-team or platform scope
  • Experience building internal AI enablement programs, developer-experience platforms, or lightweight AI governance frameworks
  • Familiarity with vector search / RAG, model evaluation frameworks, and observability for LLM-based systems
  • Experience with conversational AI / virtual assistant products
  • Experience in healthcare, healthtech, or another regulated industry

USD 190,000 - 230,000