Talkiatry Logo

Talkiatry

Staff AI Enablement Engineer

Posted One Month Ago
Remote
Hiring Remotely in USA
190K-230K Annually
Senior level
Remote
Hiring Remotely in USA
190K-230K Annually
Senior level
Build and lead the organization-wide adoption of generative AI, agentic systems, and AI-assisted development. Design production automation agents, evaluate coding tools, modernize rules-based workflows with ML, and establish responsible AI guardrails. Partner with engineering, product, data, and clinical teams to identify high-impact opportunities, own the enablement roadmap, measure outcomes, and drive adoption through working software, documentation, and hands-on collaboration.
The summary above was generated by AI

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.

You will:
  • 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

You have:
  • 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 have:
  • 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

Why You'll Love Working Here
  • Meaningful mission — your work directly helps a lean engineering team spend more time on what moves the business

  • Shape how an entire engineering org builds with AI — real autonomy and direct access to engineering leadership

  • A mandate to build things that matter, not produce slideware

  • Impact that spans developer productivity, operations, and the broader patient experience

  • Competitive compensation, benefits, and remote flexibilityn

Why Talkiatry:
  • Top-notch team: we're a diverse, experienced group motivated to make a difference in mental health care

  • Collaborative environment: be part of building something from the ground up at a fast-paced startup

  • Excellent benefits: medical, dental, vision, effective day 1 of employment, 401K with match, generous PTO plus paid holidays, paid parental leave, and more!

  • Grow your career with us: hone your skills and build new ones with our Learning team as Talkiatry expands

  • It all comes back to care: we’re a mental health company, and we put our team’s well-being first

Talkiatry participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. only after a job offer is accepted and Form I-9 is completed. For more information on E-Verify, please visit the following: EVerify Participation & IER Right to Work.

At Talkiatry, we are an equal opportunity employer committed to a diverse, inclusive, and equitable workplace and candidate experience. We strive to create an environment where everyone has a sense of belonging and purpose, and where we learn from the unique experiences of those around us.

We encourage all qualified candidates to apply regardless of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status.

Similar Jobs

11 Minutes Ago
In-Office or Remote
180K-200K Annually
Senior level
180K-200K Annually
Senior level
Healthtech • Telehealth
Leads and develops a data engineering team responsible for Snowflake, dbt, Python services on AWS, Airflow orchestration, integrations, reliability, and CI/CD. Owns technical strategy, platform administration, access controls, cost management, incident response, engineering standards, delivery, and team development. Partners with product, analytics engineering, DevOps, and business stakeholders to build scalable, reliable data systems.
Top Skills: Amazon EcsApache AirflowAWSAws LambdaCi/CdDbtFivetranPythonSnowflakeSQLTerraform
An Hour Ago
Remote or Hybrid
United States
69K-114K Annually
Entry level
69K-114K Annually
Entry level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Supports Pfizer CentreOne’s inside sales and marketing activities by reviewing and routing marketing-qualified leads, executing outreach sequences, documenting activity in Salesforce, and assisting with campaigns, content, meetings, reporting, and marketing projects. The role develops commercial expertise across marketing, inside sales, and business development while progressing leads toward initial meetings and BD handoff.
Top Skills: HubspotExcelMicrosoft OutlookMicrosoft PowerpointMicrosoft SharepointMicrosoft TeamsMicrosoft WordSalesforce
An Hour Ago
In-Office or Remote
300K-500K Annually
Expert/Leader
300K-500K Annually
Expert/Leader
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads Pfizer’s U.S. vaccines sales organization and national commercial strategy across a complex multi-brand portfolio. Oversees regional sales leaders, operations, and enablement teams; delivers revenue performance; manages budgets, incentives, demand planning, and field readiness; and partners with marketing, access, accounts, pharmacy, medical, legal, compliance, finance, and HR. Develops talent, ensures compliant execution, provides market intelligence, and prepares the organization for future vaccine launches.
Top Skills: Ai-Powered Commercial ToolsData Visualization PlatformsGenerative AiPredictive Analytics

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account