Manager, AI Engineering
Acadia Pharmaceuticals
16 days ago
Remote friendly (San Francisco, CA)
United States
IT
Position Summary
Manager, AI Engineering designs, builds, and deploys scalable AI/ML and GenAI solutions delivering measurable business impact across R&D, Commercial, and Corporate functions. Contributes to enterprise AI strategy and responsible AI governance.
Primary Responsibilities
- Design, develop, validate, and deploy ML/statistical/GenAI solutions for complex business problems.
- Provide technical input to the AI strategy/roadmap (use-case feasibility, value hypotheses, architecture, build-vs-buy).
- Build and maintain scalable ML/LLM pipelines (data ingestion to production) using ML Ops/LLM Ops practices (versioning, evaluation, observability, rollback).
- Partner with business, analytics, IT, and security to identify and deliver high-value AI use cases.
- Evaluate and integrate AI/GenAI platform components (endpoints, vector databases, agent frameworks, guardrails) per enterprise architecture.
- Support AI governance (documentation, lineage, risk assessment, bias testing, explainability, compliance).
- Contribute to vendor evaluations (RFI/RFP; cost, security, data residency).
- Create reusable patterns/reference implementations and technical documentation to accelerate adoption.
Education/Experience/Skills
- Master’s degree or PhD in Data Science/Stats/CS/Math (or related) or equivalent experience.
- 5+ years applied data science & ML (development, deployment, production support).
- Advanced Python; scikit-learn, TensorFlow, PyTorch, SQL.
- Practical ML Ops/LLM Ops (model registries, version control, evaluation, monitoring).
- Experience with LLMs/GenAI, vector databases, or agent frameworks.
- Regulated environment experience; following GxP or similar compliance.
- Travel domestically/internationally.
Benefits/Compensation (as stated)
- Discretionary bonus and equity awards; Salary range: $122,000–$152,600.
- Medical/dental/vision; 401(k) match (1:1 up to 5%); equity/ESPP; 15+ vacation days; paid holidays; paid sick time; paid parental leave; tuition assistance.
Manager, AI Engineering designs, builds, and deploys scalable AI/ML and GenAI solutions delivering measurable business impact across R&D, Commercial, and Corporate functions. Contributes to enterprise AI strategy and responsible AI governance.
Primary Responsibilities
- Design, develop, validate, and deploy ML/statistical/GenAI solutions for complex business problems.
- Provide technical input to the AI strategy/roadmap (use-case feasibility, value hypotheses, architecture, build-vs-buy).
- Build and maintain scalable ML/LLM pipelines (data ingestion to production) using ML Ops/LLM Ops practices (versioning, evaluation, observability, rollback).
- Partner with business, analytics, IT, and security to identify and deliver high-value AI use cases.
- Evaluate and integrate AI/GenAI platform components (endpoints, vector databases, agent frameworks, guardrails) per enterprise architecture.
- Support AI governance (documentation, lineage, risk assessment, bias testing, explainability, compliance).
- Contribute to vendor evaluations (RFI/RFP; cost, security, data residency).
- Create reusable patterns/reference implementations and technical documentation to accelerate adoption.
Education/Experience/Skills
- Master’s degree or PhD in Data Science/Stats/CS/Math (or related) or equivalent experience.
- 5+ years applied data science & ML (development, deployment, production support).
- Advanced Python; scikit-learn, TensorFlow, PyTorch, SQL.
- Practical ML Ops/LLM Ops (model registries, version control, evaluation, monitoring).
- Experience with LLMs/GenAI, vector databases, or agent frameworks.
- Regulated environment experience; following GxP or similar compliance.
- Travel domestically/internationally.
Benefits/Compensation (as stated)
- Discretionary bonus and equity awards; Salary range: $122,000–$152,600.
- Medical/dental/vision; 401(k) match (1:1 up to 5%); equity/ESPP; 15+ vacation days; paid holidays; paid sick time; paid parental leave; tuition assistance.