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Talkiatry · 3 hours ago

Director of AI Engineering

United States

Full-time

Remote

Director/Executive

$230K/yr - $270K/yr

7+ years exp

Talkiatry is a national mental health practice focused on making high quality mental healthcare more accessible. They are seeking a Director of AI to lead AI innovations, define the AI technical roadmap, and collaborate with cross-functional teams to enhance the delivery of mental health services.

Health CareMedicalMental HealthmHealthWellness

Responsibilities

Define and lead the AI roadmap across experimentation, model evaluation, deployment, and iteration

Architect systems to support safe and scalable LLM interactions—including prompt chaining, memory retention, and RAG pipelines

Develop strategies for model selection (e.g., Azure OpenAI, AWS Bedrock, open-source) and cost-effective inference at scale

Design and implement experiments to evaluate the efficacy, safety, and impact of AI innovations

Build and scale a high-performing AI team across machine learning, data science, MLOps, and backend infrastructure

Serve as the AI technical authority in conversations with external vendors, cloud partners, compliance officers, and executive stakeholders

Partner with legal and clinical teams to ensure HIPAA compliance, BAA alignment, and safe handling of sensitive patient data

Qualification

Large language modelsMachine learning stackCloud platformsModel evaluation frameworksRAG frameworksVector databasesPython programmingContainerizationHealthcare complianceEthical AIExperimentation approachTeam leadershipCommunication skills

Required

Expert in large language models (OpenAI, Anthropic, Mistral, etc.), including fine-tuning, prompt engineering, embeddings, and context window optimization

Hands-on experience with RAG frameworks, vector databases (Pinecone, FAISS, Redis), and memory architectures

Strong programming background in Python and ML stack (PyTorch, HuggingFace Transformers, LangChain, Weights & Biases)

Proficiency with cloud platforms (AWS, Azure), containerization (Docker, Kubernetes), and orchestration tools (Airflow, FastAPI, etc.)

Deep familiarity with model evaluation frameworks—automated and human-in-the-loop—for conversation safety, empathy, and hallucination detection

7+ years of experience in AI/ML roles, with at least 3 years leading cross-functional teams including engineering, product, and research

A successful track record of shipping production-grade AI systems—ideally in healthcare, mental health, or another mission-critical domain

Deep technical fluency in LLMs, retrieval systems, and safe interaction design—with an ability to lead architectural decisions and implementation

Experience building or managing AI teams from 0→1, with a strong recruiting eye and mentorship skills

Familiarity with ethical AI, including red-teaming, bias mitigation, explainability, and escalation protocols for risky outputs

Strong understanding of healthcare compliance (e.g., HIPAA, PHI), including how to architect systems with auditability and patient safety in mind

A pragmatic approach to experimentation and iteration—balancing cutting-edge AI with operational feasibility and clinical guardrails

Exceptional communication skills—you can convey technical decisions to both engineers and executives, and lead strategic conversations with confidence