Staff AI Enablement Engineer

Talkiatry•,

4d•$190,000 - $230,000•Remote

About The Position

Talkiatry is hiring a Staff AI Enablement Engineer to define and drive how generative AI and automation are used across our engineering organization. This is a builder's role first: you'll design and ship working automations and agents, not just write recommendations. It's also a force-multiplier role: your job is to make every engineering team faster and more capable by embedding proven AI practices, tools, and infrastructure into their day-to-day work. You'll work directly with the Engineering and Product leaders and teams to understand their workflows, tooling gaps, and pain points — then design automation, agents, and tooling that measurably reduce toil. You'll also own our engineering-wide point of view on AI coding assistants and agentic developer tools, evaluating what's real versus hype and driving thoughtful, phased adoption suited to our team's current maturity. Beyond developer-facing enablement, you'll have the opportunity to apply AI and ML directly to core business workflows, modernizing existing rules-based systems with more data-driven approaches. About Talkiatry: Talkiatry is transforming mental health care by making high-quality psychiatry more accessible, human, and sustainable for both patients and clinicians. Co-founded by a patient and a triple-board-certified psychiatrist, we were built to solve one of healthcare’s most urgent challenges: millions of people struggle to access mental health care, while clinicians face growing administrative burden and burnout. Through our technology-powered, in-network platform, we’re changing that, creating a better experience for patients and empowering clinicians to focus on delivering exceptional care. Today, Talkiatry is the largest dedicated psychiatry practice in the U.S., with 750+ psychiatrists, 250+ therapists, and more than two million patient visits delivered nationwide. At our scale, every innovation has real impact. Every workflow we improve, every technology solution we build, and every patient experience we redesign helps thousands of clinicians provide better care to hundreds of thousands of patients. We’re not just growing quickly — we’re redefining how behavioral healthcare is delivered in America. Joining Talkiatry means joining a mission-driven team that is solving complex problems at scale, driving meaningful change in healthcare, and building the future of mental health care with compassion, innovation, and purpose.

Requirements

8+ years in software engineering, with a track record of shipping production systems end-to-end
Hands-on experience building with LLMs and agentic systems — prompt engineering, context/tool design, evaluation, and orchestration
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
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
Strong product instincts for internal tooling: you talk to your "users" (fellow engineers), prioritize ruthlessly, and ship iteratively
Excellent written and verbal communication; comfortable presenting roadmap, tradeoffs, and results to engineering leadership
Prior experience in a staff/principal-level IC role, ideally with cross-team or platform scope

Nice To Haves

Experience building internal AI enablement programs, developer-experience platforms, or lightweight AI governance frameworks
Experience in healthcare, healthtech, or another regulated industry
Familiarity with vector search / RAG, model evaluation frameworks, and observability for LLM-based systems
Experience with conversational AI / virtual assistant products

Responsibilities

Act as engineering's subject-matter expert on generative AI, agentic systems, and AI-assisted software development — tracking the landscape closely enough to separate durable capability from hype
Diagnose team-level workflows and pain points by meeting with every engineering team, translating findings into a prioritized backlog of AI-enabled solutions
Own the AI enablement roadmap end-to-end — propose it, get buy-in from engineering leadership, execute against it, and report on impact
Evaluate and pilot AI coding assistants and agentic tools, driving adoption decisions grounded in evidence rather than hype, calibrated to our team's size, stack, and current AI fluency
Design, build, and operate a network of specialized automation agents targeting high-friction engineering and operational workflows, on a shared architecture that lets new agents be added quickly and reliably
Instrument and measure the impact of each automation you ship (time saved, quality improvement, adoption) and iterate based on real usage
Partner with teams across the business to modernize existing rules-based or heuristic systems into more data-driven, ML-informed approaches, working closely with data and clinical stakeholders where relevant
Define lightweight adoption frameworks and guardrails (quality, security, cost, and responsible-use considerations) so new tools and agents can be rolled out safely and repeatably
Champion AI/automation best practices across engineering through documentation, demos, brown bags, and hands-on pairing with teams
Make the tradeoffs of any given AI approach (build vs. buy, cost, latency, quality, risk) legible to both engineers and leadership