Associate AI Engineer, OI&A
Amgen
Summary
Join a technology operations and data enablement team within the Obesity Intelligence & Analytics (OI&A) organization. Deliver advanced data science, software engineering, and GenAI solutions that enable commercial and non-commercial functions across the enterprise.
Job description
What you will do
Join a technology operations and data enablement team within the Obesity Intelligence & Analytics (OI&A) organization. Deliver advanced data science, software engineering, and GenAI solutions that enable commercial and non-commercial functions across the enterprise.
Maintain technical continuity across the lifecycle, working with business stakeholders and multidisciplinary teams to shape the simplest viable solution, coordinate execution, make delivery trade-offs, remove blockers and contribute hands-on to critical components. The role combines enterprise solution engineering, applied AI/ML, GenAI, RAG and agents, integration, evaluation, MLOps/LLMOps, security, governance and production operations.
Responsibilities
- Lead discovery by clarifying the business workflow, users, intended outcome, value hypothesis, acceptance criteria, operational constraints, data readiness, integration dependencies and production implications
- Translate complex problems into an executable solution design, delivery plan, technical workstreams, estimates, milestones, dependencies, risks, acceptance criteria, release approach and support transition
- Build, prototype, review or contribute to critical production components to prove feasibility or unblock delivery, including AI-enabled applications, RAG, bounded agents, intelligent automation, APIs and integrations
- Define and maintain the integrated architecture across applications, workflows, data and knowledge pipelines, models, retrieval, agents, APIs, enterprise integrations, identity, access controls, observability and human review
- Orchestrate delivery across full-stack software and AI engineering, data science, ML and context engineering, testing, platform, security, compliance and business roles
- Establish integrated testing, AI evaluation and governance covering functional, performance, security, data, model, retrieval, generation, tool-use, human-oversight and operational behavior with explicit release thresholds
- Coordinate production readiness through CI/CD, staged release, monitoring, logging, SLOs, rollback, recovery, runbooks and controlled deployment; support early issue triage, stabilization and transition to the operating owner
- Communicate evidence, risks, trade-offs and status clearly; measure adoption and value and convert delivery lessons into reusable components, accelerators, standards, documentation and playbooks
Requirements
- Bachelor's degree in Computer Science, Engineering, Data Science or related field OR Diploma with 2+ years of experience in Computer Science, Engineering, Data Science, or related field
- Strong hands-on proficiency in Python and SQL
- Experience designing or reviewing production software, APIs, services, data flows, evaluation pipelines and enterprise integrations
- Enterprise solution architecture and integration
- Applied AI/ML and GenAI engineering
- Cloud, DevSecOps and lifecycle operations
- Proven ability to turn complex business problems into coherent technical designs and executable delivery plans
- Advanced capability in at least one role-defining pillar: Applied AI/ML, GenAI/RAG/agents, full-stack and integration engineering, or AI platform/MLOps
- Self-starter mentality with critical thinking, sound judgment, ownership, and resilience
Benefits
- Retirement and savings plan
- Medical, Dental & Vision
- Life and disability insurance
- Flexible spending accounts
- Discretionary annual bonus
- Stock-based long-term incentives
- Paid time-off
- Flexible work models
Company overview
Amgen Inc. is a leading American multinational biopharmaceutical company headquartered in Thousand Oaks, California, founded in 1980. As one of the world's largest independent biotechnology companies, Amgen specializes in discovering, developing, manufacturing, and delivering innovative human therapeutics. The company focuses on six key therapeutic areas: inflammation, oncology/hematology, bone health, cardiovascular disease, nephrology, and neuroscience. Amgen's portfolio includes blockbuster drugs such as Enbrel for autoimmune diseases, Prolia and XGEVA for osteoporosis, Repatha for cholesterol management, Otezla for psoriasis, and Neulasta for chemotherapy-induced neutropenia. With approximately 28,000 employees worldwide, Amgen operates as a component of both the Dow Jones Industrial Average and Nasdaq-100 indices. The company maintains a robust research and development pipeline with numerous clinical programs across various stages, leveraging cutting-edge biotechnology and human genetic data to address some of the world's most challenging diseases. Amgen's manufacturing capabilities span multiple global locations, and it distributes products through pharmaceutical wholesale distributors and direct-to-consumer channels.