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Senior Manager, Applied AI Engineering (AI Studio)

Amgen

Portugal - LisbonSeniorH-1B sponsor company
Sign in to applyVerified 1h ago
Location
Portugal - Lisbon
Work model
On-Site
Level
Senior
H-1B history
137 approvals (FY2023)
Posted
16h ago

Skills

CybersecurityGenAI

About this role

Career Category Information Systems Job Description Join our team at AMGEN Capability Center Portugal , consistently recognized among the top companies in the Best Workplaces(TM) ranking by Great Place to Work(R) in Portugal. In 2026, we were once again distinguished as one of the top Best Workplaces in the country (category 201-500 employees), reinforcing our commitment to an exceptional employee experience and workplace culture. We are a team of over 500 talented individuals, spanning more than 30 functions and areas of expertise, and representing over 40 nationalities. Together, we bring diverse perspectives and professional backgrounds to help shape the future of healthcare through innovation and technology. This is your opportunity to explore a world of possibilities across areas such as Data & Analytics, Digital, Technology & Innovation, Cybersecurity, R&D Operations, Global Distribution, Finance, Regulatory Affairs, General & Administrative, Human Resources, and many more. Located in the heart of Lisbon, our AMGEN office fosters a culture of innovation, excellence, and purpose. Come thrive with us at AMGEN, supporting our mission To Serve Patients. What we do at AMGEN matters in people's lives. Senior Manager, Applied AI Engineering (AI Studio) ABOUT THE ROLE Role Description: The Senior Manager, Forward Deployed Engineering position offers a unique opportunity to join a fun, innovative engineering team within the AI & Data Science (AI&D) - organization. We are the Applied AI team (AI Studio). AI Studio is Amgen’s enterprise engine for turning high-value business challenges into scalable AI products. We partner with key business partners across the company to identify the right opportunities, shape them into actionable use cases, and design, build, and launch AI products responsibly. Our work spans the full lifecycle from early discovery and rapid prototyping to production deployment, reuse across the enterprise, and measurable business impact. You will build and lead a high-performing team of Engineers who turn complex, high-value business requests into secure, reliable, production-ready AI and automation solutions with measurable outcomes. Through people leadership, operating discipline and cross-functional partnership, you will ensure technical continuity from validation through deployment, stabilization, support transition and reuse. You will own capacity, performance, talent, critical decisions and team outcomes for quality, reliability, adoption enablement, cost, risk and value. FDE accountability complements, but does not replace, product, business, data, compliance, formal approval or long-term support ownership. Roles & Responsibilities: Play the dual role of Product Owner/Architect of one of the AI-Studio delivery teams and Practice lead for Forward Deployed Engineering. Build an inclusive, accountable team; recruit, onboard, coach, manage performance, develop careers, strengthen succession and create growth paths across technical discovery, solution architecture, full-stack engineering, ML/GenAI, evaluation, cloud and production operations. Prioritize engagements, allocate capacity, manage workload and skills coverage, establish role clarity and delivery standards and hold individuals and teams accountable for realistic commitments, evidence quality, stakeholder outcomes and sustainable team health. Develop FDE craft through discovery, architecture, prototype, design, code, evaluation, security, release and incident reviews, technical communities, mentoring and deliberate assignments that build broad enterprise delivery judgment. Build out a playbook for FDE practice to scale capabilities for AI Studio as an offering Translate prioritized opportunities into engagement roadmaps, staffing plans, technical workstreams, milestones, dependencies, ownership, acceptance criteria, adoption dependencies, support models and measurable technical and business outcomes. Guide technical validation and choices among

Senior Manager, Applied AI Engineering (AI Studio) at Amgen, Portugal - Lisbon | Yoinka