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Talkiatry is seeking a Director of AI to drive AI innovations that make high quality mental healthcare more accessible. In this role, you’ll be the founding member of our AI technical team, defining and executing its roadmap, and lead cross-functional efforts spanning engineering, clinical, compliance, and product teams.
Job Responsibility:
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
Requirements:
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