Associate AI Engineer, OI&A

BioSpace; Thousand Oaks (CA); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Health insurance

Dental coverage

Vision coverage

Life insurance

Disability insurance

Retirement plan

Paid time off

Job summary

Amgen is seeking an Associate Data Scientist for Obesity Intelligence & Analytics to advance AI-enabled solutions across enterprise functions. You will collaborate with a cross-disciplinary team to design, prototype and deploy models, retrieval and agent systems while ensuring production readiness.

The role emphasizes GenAI engineering, end-to-end data workflows, and strong Python/SQL execution in a fast-paced environment.

Qualifications

• Bachelor's degree or diploma with 2+ years in CS/Engineering/Data Science or related field.
• Strong Python and SQL with production software design or review experience.
• Experience with AI/ML, GenAI, end-to-end data science and integrations.

Responsibilities

• Lead discovery by clarifying workflow, outcomes, data readiness and deployment needs.
• Translate problems into executable technical designs, plans and milestones.
• Build or review production AI-enabled components, APIs and integrations.
• Define integrated architecture across apps, data, models and access control.
• Coordinate full-stack delivery across AI, data science, engineering and operations.
• Establish testing, evaluation and governance for AI-enabled systems.

Skills

Python

SQL

Data science

GenAI

Cloud

APIs

Databricks

AWS

LLMs

Education

Bachelor's degree in CS/Engineering/Data Science

Diploma with 2+ years experience

Tools

Databricks

AWS

Spark

LLMs

Job description

Associate Data Scientist, Obesity Intelligence & Analytics

What you will do

Lets do this. Lets change the world. In 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.

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.

Benefits

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.

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.