You will:
- 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.
You have - Technical Skills:
- 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.
You have:
- 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.
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
- Flexible location: work where you want to, either remotely across the U.S. or from our HQ in NYC
- 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
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