Associate AI Engineer, OI&A

Career Category Sales & Marketing Operations Job Description Associate AI Engineer, OI&A Associate Data Scientist, Obesity Intelligence & Analytics What you will do Let’s do this. Let’s change the world. In this vital role, you’ll join a fun, innovative technology operations and data enablement team within the Obesity Intelligence & Analytics (OI&A) organization. You will deliver advanced data science, software engineering, and GenAI solutions that enable commercial and non-commercial functions across the enterprise.

Responsibilities

• You will 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.
• Technical accountability complements, but does not replace, explicit product, business, compliance and long-term support ownership.
• 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.
• What we expect of you We are all different, yet we all use our unique contributions to serve patients.
• The dynamic professional we seek is a collaborative professional with the following qualifications.
• Production Python and SQL; classical ML and NLP awareness; foundation-model integration, prompt and context management, RAG, structured output, provenance, citations, bounded tool use, permissions, recovery and human control.
• Cloud-native services, containers, CI/CD, infrastructure as code, versioning, observability, SLOs, staged release, rollback, incidents, disaster recovery, capacity, FinOps, runbooks and MLOps/LLMOps.
• Strong hands-on proficiency in Python and SQL, with experience designing or reviewing production software, APIs, services, data flows, evaluation pipelines and enterprise integrations.
• Proven ability to turn complex business problems into coherent technical designs, executable delivery plans, acceptance criteria and production-readiness evidence while coordinating multidisciplinary teams.
• Advanced capability in at least one role-defining pillar—Applied AI/ML, GenAI/RAG/agents, full-stack and integration engineering, or AI platform/MLOps—plus credible breadth across the production lifecycle.

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
• Hybrid or graph retrieval, knowledge graphs, source verification, MCP-style integration, durable or multi-agent workflows, policy enforcement and adversarial testing.
• Additionally, experience in life sciences, healthcare, payor, or pharmaceutical environments will be factored in.
• combines critical thinking, sound judgment, ownership, and resilience to navigate ambiguity, create clarity and momentum, and deliver business results with minimal oversight; provides credible, hands-on technical leadership through influence and constructive challenge; and communicates evidence, uncertainty, risks, trade-offs, limitations, and delivery status clearly while balancing value, speed, quality, security, maintainability across teams.

Preferred

• Enterprise solution architecture and integration: End-to-end design across applications, APIs, services, data and knowledge flows, models, retrieval, agents, workflows, persistence, identity, security zones, enterprise systems and support boundaries.
• Experienced with Databricks, AWS, Spark, LLMs, and agentic development solutions is a plus.

Pay

• The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted.
• Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.
• Salary Range 81,466.55USD -110,219.45 USD

Benefits

• What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being.
• From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.
• In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include: A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan Stock-based long-term incentives Award-winning time-off plans
• Flexible work models where possible.

Refer to the Work Location Type in the job posting to see if this applies. Apply now and make a lasting impact with the Amgen team. careers.amgen.com In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. .