Associate Director, AI/ML Engineering
Job in
South San Francisco, San Mateo County, California, 94083, USA
Listed on 2026-07-08
Listing for:
Scorpion Therapeutics
Full Time
position Listed on 2026-07-08
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
Position Summary
Associate Director, AI/ML Engineering—hands‑on technical leader designing, architecting, and delivering Generative AI and agentic AI solutions across the enterprise, including safe/reliable deployment in a regulated biopharmaceutical environment.
Primary Responsibilities- Design, build, and deploy agentic AI workflows using multi‑agent orchestration frameworks (e.g., Lang Graph, Auto Gen, CrewAI).
- Architect and implement MCP servers to expose enterprise tools, APIs, and data sources as AI agent capabilities.
- Connect multi‑agent systems to enterprise databases/internal APIs/MCP for grounded, context‑aware, action‑oriented solutions.
- Define data contracts, lineage standards, and quality thresholds with cross‑functional teams.
- Implement agentic memory systems and planning/reasoning loops for reliable autonomous execution.
- Evaluate accuracy, reliability, latency, cost, and safety via benchmarks and red‑teaming.
- Build guardrail frameworks (filtering, moderation, policy enforcement, hallucination detection).
- Develop RAG pipelines (chunking, embeddings, vector stores, retrieval optimization).
- Apply prompt engineering, few‑shot learning, and fine‑tuning for pharma use cases.
- Design, develop, validate, and deploy traditional ML models (classification, regression, clustering, time‑series, survival).
- Build and maintain ML Ops/LLM Ops pipelines (registry, evaluation, prompt/version control, observability, rollback).
- Master’s or PhD in ML/CS/Data Science/IS or related quantitative field.
- 7+ years AI/ML engineering, including 3+ years hands‑on Generative AI and agentic AI.
- Expertise in multi‑agent frameworks (Lang Graph, Auto Gen, CrewAI, Semantic Kernel, or similar).
- Experience building MCP servers and integrating with enterprise data/APIs/tools.
- Strong RAG, embeddings, and vector database experience.
- Proficiency in Python;
PyTorch/Tensor Flow/scikit‑learn/Hugging Face. - Experience with ML Ops/LLM Ops lifecycle management, evaluation, and deployment.
- Ability to travel domestically/internationally (as required).
- Experience with RWD/claims/EHR/clinical/translational/biological data is a plus.
- Discretionary bonus and equity; salary range: $172,000–$215,000 USD.
- Medical/dental/vision; employer‑paid life/disability/travel/EAP.
- 401(k) with 1:1 match up to 5%; ESPP.
- 15+ vacation days; 13–15 paid holidays; 10 days paid sick time; paid parental leave.
- Tuition assistance.
Position Requirements
10+ Years
work experience
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