Senior Manager, AI Engineering
Job in
South San Francisco, San Mateo County, California, 94083, USA
Listed on 2026-09-12
Listing for:
Scorpion Therapeutics
Full Time
position Listed on 2026-09-12
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
Senior Manager, AI Engineering—advance Acadia’s enterprise AI capabilities through development, deployment, governance of scalable AI/ML solutions. Partner with R&D, Commercial, and Corporate stakeholders to translate data into actionable insights and business value.
Primary Responsibilities- Execute enterprise AI strategy/roadmap; align AI/ML initiatives to business priorities; identify high-value use cases
- Develop and deliver AI/ML solutions and analytics/data science use cases supporting data-driven decisions
- Provide technical expertise for AI governance (model risk, responsible AI, lifecycle management)
- Assess feasibility, business value, and implementation risks to support prioritization/investment decisions
- Design, develop, validate, deploy, and support ML models and scalable ML/LLM pipelines using ML Ops/LLM Ops
- Evaluate/optimize GenAI (LLMs, vector databases, endpoints, agent frameworks, guardrails) per enterprise architecture
- Maintain documentation (model/prompt/dataset) for lineage, auditability, approvals, and system-of-record compliance
- Create reusable frameworks/standards to accelerate adoption, scalability, and operational efficiency
- Partner with IT, Data Insights & Analytics, and Information Security on platforms, infrastructure, vendor/RFI/RFP
- Apply responsible AI standards (bias/robustness, explainability, human oversight, incident response, regulatory compliance)
- Support GxP and evolving AI regulation alignment (e.g., NIST AI RMF, EU AI Act readiness)
- MS in a quantitative field with 5+ years experience, or PhD with 2+ years industry (or equivalent research) in ML/AI/data science
- Experience deploying/supporting ML/AI in production or research
- Proficiency in Python, SQL;
PyTorch/Tensor Flow/scikit-learn - GenAI experience (LLMs, RAG, vector databases, agent frameworks)
- ML Ops/LLM Ops (version control, evaluation, monitoring, deployment)
- Knowledge of responsible AI, explainability, evaluation, and AI governance; regulated environments preferred
- Domestic/international travel as needed
- Discretionary bonus and equity awards; $150,300—$187,900 salary range
- Medical/dental/vision; employer-paid life/disability/business travel/EAP; 401(k) match 1:1 up to 5%;
Employee Stock Purchase Plan; 15+ vacation days; 13–15 paid holidays; paid sick time; paid parental leave; tuition assistance
Position Requirements
10+ Years
work experience
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