IQVIA
AI

AI Engineering Manager Delivery Lead Remote

IQVIA · Madrid, MD, ES

Actively hiring Posted about 1 hour ago

Role overview

Madrid, Spain | Full time | Hybrid | R1529487

What you'll work on

  • Own end‑to‑end delivery execution for Agentic AI solutions from Proof of Concept through Production, ensuring predictable, high‑quality outcomes.
  • Translate product scope and architectural direction into clear delivery plans, sprint cadence, and execution milestones.
  • Drive day‑to‑day engineering delivery, including dependency management, issue resolution, and removal of execution blockers.
  • Ensure delivery readiness across environments, CI/CD, quality gates, validation, and release governance.
  • Coordinate and orchestrate internal teams and vendors to deliver as a single, integrated delivery unit.
  • Partner closely with Product, Architecture, QA, Validation, and Program Management to ensure delivery aligns with regulatory, quality, and governance expectations
  • Provide transparent delivery reporting, proactively surface risks, and escalate issues with clear options and trade‑offs.
  • Support release and rollout execution (pilot to scale) and ensure effective handover to operations.
  • Lead and mentor a multidisciplinary engineering team (AI engineers, data engineers, platform engineers), providing technical guidance, career development, and performance management.
  • Act as delivery owner for vendor‑contributed work, including: 1)Task integration, 2) Quality expectations, 3)Delivery timelines
  • Ensure vendor outputs meet IQVIA standards and are integrated seamlessly into CI/CD and release processes.
  • Surface delivery risks related to vendor dependency early and clearly.

*Key Qualifications

Experience**

  • 7+ years in engineering delivery roles, with demonstrated ownership of end‑to‑end delivery in complex systems.
  • Proven experience delivering Agentic AI, AI‑enabled, or data‑intensive platforms, including systems that incorporate reasoning, orchestration, retrieval, or automation components.
  • Experience delivering AI solutions in regulated or highly governed enterprise environments, with accountability for production readiness, auditability, and lifecycle controls.
  • Demonstrated ability to coordinate cross‑functional teams and external vendors delivering agent‑based solutions across prototype, MVP, and production stages.

Tags & focus areas

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Fulltime Remote Ai Ai Engineer