Senior AI Studio Engineer — Production ML & GenAI

BioSpace; Washington (District of Columbia); On-site; USD 180,000 - 240,000; Full time

Job summary

Amgen is seeking a Senior Forward Deployed Engineer for the AI Studio to lead complex AI and automation solutions across the lifecycle, from discovery to production. You’ll coordinate cross-functional teams, shape architectures, and deliver enterprise-grade AI-enabled applications with governance and security in mind.

The role emphasizes hands-on Python/SQL, GenAI, RAG and end-to-end delivery across data science, engineering and platform teams in a dynamic biotech environment.

Qualifications

• Doctorate Degree and 1 year of experience in Computer Science, IT or related field OR
• Masters degree with 8 - 10 years of experience in Computer Science, IT or related field OR
• Bachelors degree with 10 - 12 years of experience in Computer Science, IT or related field OR
• Diploma with 12 - 14 years of experience in Computer Science, IT or related field

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 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 behaviour 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

Skills

Python

SQL

AI/ML

RAG

Cloud

Full-stack

Education

Doctorate Degree

Masters degree

Bachelors degree

Diploma

Tools

AWS

SageMaker

Databricks

Kubernetes

Airflow

Kubeflow

Job description

Amgen is seeking a Senior Forward Deployed Engineer for the AI Studio to lead complex AI and automation solutions across the lifecycle, from discovery to production. You’ll coordinate cross-functional teams, shape architectures, and deliver enterprise-grade AI-enabled applications with governance and security in mind.

The role emphasizes hands-on Python/SQL, GenAI, RAG and end-to-end delivery across data science, engineering and platform teams in a dynamic biotech environment.