AI Delivery Lead: End-to-End Agentic Solutions

IQVIA; Barcelona; Presencial; EUR 90.000 - 130.000; Jornada completa

Descripción de la vacante

IQVIA is seeking an Engineering Manager / Delivery Lead to own end-to-end delivery for Agentic AI solutions within AI & Technology Solutions (ATS) and Clinical AI & Technology Innovation (CAITI). This role orchestrates delivery from PoC to Production, aligning product intent with architectural direction and governance requirements.

The candidate will lead internal teams and external vendors, drive sprint cadence, and ensure quality gates, regulatory compliance, and delivery readiness across

Formación

• Bachelor's degree with 10+ years of experience, or Master's degree with 7+ years of experience in Computer Science, Information Systems, or a related field.
• Strong understanding of Agentic SDLC / ADLC concepts and agent lifecycle management.
• Experience delivering agent-based or data-intensive platforms with production readiness, auditability and lifecycle controls.
• Ability to engage credibly with Solution Architects, Tech Leads, and AI teams on agent feasibility, orchestration complexity, dependency sequencing, and delivery risk.
• Proficiency in programming languages such as Python, Java, or Scala and solid understanding of data structures and algorithms.

Responsabilidades

• Own end-to-end delivery execution for Agentic AI solutions from PoC 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 escalating 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.

Conocimientos

Engineering delivery

Agentic AI delivery

Python

Java

Scala

Educación

Bachelor's degree in Computer Science / Information Systems

Master's degree in Computer Science / Information Systems

Descripción del empleo

IQVIA is seeking an Engineering Manager / Delivery Lead to own end-to-end delivery for Agentic AI solutions within AI & Technology Solutions (ATS) and Clinical AI & Technology Innovation (CAITI). This role orchestrates delivery from PoC to Production, aligning product intent with architectural direction and governance requirements.

The candidate will lead internal teams and external vendors, drive sprint cadence, and ensure quality gates, regulatory compliance, and delivery readiness across