Senior Forward Deployed Engineer, AI Studio
Amgen
August 11, 2026
Remote friendly (United States)
United States
IT
Senior Forward Deployed Engineer, AI Studio
Responsibilities:
- Lead discovery by clarifying business workflow, users, intended outcome, value hypothesis, acceptance criteria, operational constraints, data readiness, integration dependencies, and production implications.
- Translate complex problems into 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 (AI-enabled applications, RAG, bounded agents, intelligent automation, APIs, integrations).
- Define and maintain integrated architecture across applications, workflows, data/knowledge pipelines, models, retrieval, agents, APIs, enterprise integrations, identity/access controls, observability, and human review.
- Orchestrate delivery across full-stack engineering, data science/ML/context engineering, testing, platform, security, compliance, and business roles.
- Establish integrated testing, AI evaluation, and governance (functional/performance/security, data/model/retrieval/generation, tool-use, human oversight, operational behavior) with release thresholds.
- Coordinate production readiness via CI/CD, staged release, monitoring/logging, SLOs, rollback/recovery, runbooks, and controlled deployment.
- Communicate evidence, risks, trade-offs, status; measure adoption/value; create reusable components, standards, documentation, and playbooks.
Basic Qualifications:
- Doctorate + 1 year OR Master’s + 8–10 years OR Bachelor’s + 10–12 years OR Diploma + 12–14 years in CS/IT or related field.
Preferred Qualifications (examples):
- Technical discovery/value framing; enterprise architecture/integration.
- Production Python/SQL; GenAI/RAG/agents; evaluation, quality, regulated delivery (Responsible AI, privacy, validation, auditability, GxP).
- Cloud/DevSecOps/lifecycle operations; demonstrated end-to-end technical ownership of a production AI/ML/software/data/automation solution.
Application Instructions:
- Apply at careers.amgen.com; no application deadline (accepting applications until sufficient candidates selected).
Responsibilities:
- Lead discovery by clarifying business workflow, users, intended outcome, value hypothesis, acceptance criteria, operational constraints, data readiness, integration dependencies, and production implications.
- Translate complex problems into 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 (AI-enabled applications, RAG, bounded agents, intelligent automation, APIs, integrations).
- Define and maintain integrated architecture across applications, workflows, data/knowledge pipelines, models, retrieval, agents, APIs, enterprise integrations, identity/access controls, observability, and human review.
- Orchestrate delivery across full-stack engineering, data science/ML/context engineering, testing, platform, security, compliance, and business roles.
- Establish integrated testing, AI evaluation, and governance (functional/performance/security, data/model/retrieval/generation, tool-use, human oversight, operational behavior) with release thresholds.
- Coordinate production readiness via CI/CD, staged release, monitoring/logging, SLOs, rollback/recovery, runbooks, and controlled deployment.
- Communicate evidence, risks, trade-offs, status; measure adoption/value; create reusable components, standards, documentation, and playbooks.
Basic Qualifications:
- Doctorate + 1 year OR Master’s + 8–10 years OR Bachelor’s + 10–12 years OR Diploma + 12–14 years in CS/IT or related field.
Preferred Qualifications (examples):
- Technical discovery/value framing; enterprise architecture/integration.
- Production Python/SQL; GenAI/RAG/agents; evaluation, quality, regulated delivery (Responsible AI, privacy, validation, auditability, GxP).
- Cloud/DevSecOps/lifecycle operations; demonstrated end-to-end technical ownership of a production AI/ML/software/data/automation solution.
Application Instructions:
- Apply at careers.amgen.com; no application deadline (accepting applications until sufficient candidates selected).