Associate AI Engineer, OI&A

Associate AI Engineer OI&A

Associate Data Scientist Obesity Intelligence & Analytics

What you will do

Lets do this. Lets change the this vital role youll 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.

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.

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.

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.

Basic Qualifications:

• Bachelors 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

Preferred Qualifications:

• 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.
• Applied AI/ML and GenAI engineering: 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 DevSecOps and lifecycle operations: 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 pillarApplied AI/ML GenAI/RAG/agents full-stack and integration engineering or AI platform/MLOpsplus credible breadth across the production lifecycle.
• Advanced RAG knowledge and agent systems: Hybrid or graph retrieval knowledge graphs source verification MCP-style integration durable or multi-agent workflows policy enforcement and adversarial testing.
• Experienced with Databricks AWS Spark LLMs and agentic development solutions is a plus. Additionally experience in life sciences healthcare payor or pharmaceutical environments will be factored in.
• Self-starter mentality: 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.

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 well support your journey every step of the way.

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.

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.

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Salary Range