AI Engineering Manager Delivery Lead
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Job Location:
Monthly Salary:
Posted on:
7 hours ago
Vacancies:
1 Vacancy
Job Summary
Role Description
We are seeking an Engineering Manager / Delivery Lead to own endtoend delivery execution for Agentic AI solutions within AI & Technology Solutions (ATS) Clinical AI & Technology Innovation (CAITI). This role is accountable for translating product intent and architectural direction into reliable compliant highquality delivery outcomes by leading internal teams and external vendors.
Operating as part of the Core Development Team the Engineering Manager is the single point of accountability for delivery execution owning sprint cadence SDLC deliverables delivery readiness and release orchestration from Proof of Concept through Production.
This role works in tight partnership with:
AI Product Manager & Product Owner (value scope priorities)
AI Solution Architect & Tech Lead (architecture patterns technical direction)
Program Manager (governance crossprogram alignment escalation)
while retaining clear decision authority over delivery execution.
Key Responsibilities
Own endtoend delivery execution for Agentic AI solutions from Proof of Concept through Production ensuring predictable highquality outcomes.
Translate product scope and architectural direction into clear delivery plans sprint cadence and execution milestones.
Drive daytoday 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 tradeoffs.
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 vendorcontributed 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 endtoend delivery in complex systems.
Proven experience delivering Agentic AI AIenabled or dataintensive 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 crossfunctional teams and external vendors delivering agentbased solutions across prototype MVP and production stages.
Technical & Delivery Background
Bachelors degree with 10 years of experience or Masters degree with 7 years of experience in Computer Science Information Systems or a related technical field.
Strong understanding of Agentic SDLC / ADLC concepts including agent lifecycle management phased progression.
Experience delivering systems that require agent evaluation monitoring and feedback loops including performance reliability and behavioral drift considerations.
Ability to engage credibly with Solution Architects Tech Leads and AI teams on agent feasibility orchestration complexity dependency sequencing and delivery risk.
Practical understanding of CI/CD for agentic systems including environment readiness controlled releases rollback strategies and postdeployment monitoring.
Proficiency in programming languages such as Python Java or Scala with strong understanding of data structures and algorithms.
Scala with strong understanding of data structures and algorithms.
IQVIA is a leading global provider of clinical research services commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at .
IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements misrepresentations or material omissions during the recruitment process will result in immediate disqualification of your application or termination of employment if discovered later in accordance with applicable law. We appreciate your honesty and professionalism.
At IQVIA we believe that diversity inclusion and belonging empower our mission to accelerate innovation for a healthier world. We create a culture of belonging by valuing the perspectives of all talented employees worldwide and providing them with the opportunity to power smarter healthcare for everyone everywhere. When our talented employees bring their authentic selves and their diverse experiences to work they enable us to accomplish extraordinary things. Multifaceted thought processes spark innovation. Multi-talented collaboration harnesses innovation to deliver superior outcomes. Likewise as part of this culture IQVIA is committed to ensuring effective equality between women and men integrating it as a strategic principle in its corporate and human resources policies.
Required Experience:
Manager
Key Skills
About Company
IQVIA is the Human Data Science Company™. We are inspired by the industry we serve and provide solutions that enable life sciences companies to innovate with confidence, maximize opportunities and ultimately drive human health outcomes forward. Our approach is Human Data Science – a d ... View more
