IQVIA Logo

IQVIA

AI Tech Lead

Reposted 5 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in London, Greater London, England, GBR
Senior level
In-Office or Remote
Hiring Remotely in London, Greater London, England, GBR
Senior level
The AI Tech Lead is responsible for leading the technical execution of Agentic AI solutions, ensuring engineering standards and quality are met. This role includes translating architecture into build plans, enforcing coding standards, troubleshooting, and overseeing vendor contributions, while collaborating with various teams for successful project delivery.
The summary above was generated by AI
AI Tech Lead

Role Description

We are seeking an AI Tech Lead to serve as a hands‑on technical leader for Agentic AI solutions across Proof of Concept, MVP, and Production. This role acts as one of the most senior developers on the team driving implementation quality, engineering standards, and production readiness for autonomous and human‑in‑the‑loop agent workflows.

Operating within the ATS CAITI Development Team, the AI Tech Lead partners closely with the AI Solutions Architect to ensure alignment with architectural standards, patterns, and enterprise best practices, while owning day‑to‑day technical execution and engineering rigor. The AI Tech Lead is responsible for implementation patterns, reviews, release readiness, and coordination of vendor technical contributions where applicable.

Key Responsibilities

  • Lead hands‑on technical execution for Agentic AI capabilities across PoC, MVP, and Production, ensuring delivery and production‑grade quality.

  • Translate architecture and product intent into a clear build plan (components, sequencing, integration approach, technical risks), and drive implementation through the team.

  • Define and enforce engineering practices: coding standards, PR/review quality bar, branching strategy, and “done” criteria for agentic workflows (including testability and operational readiness).

  • Implement and guide development of key agentic components such as orchestration logic, tool/API integrations, retrieval patterns, guardrails, and human‑in‑the‑loop flows, ensuring they are reliable and maintainable.

  • Own technical unblock and troubleshooting: resolve complex defects, integration issues, performance bottlenecks, and environment/build pipeline problems.

  • Drive release readiness from a technical standpoint: dependency readiness, versioning, deployment checks, rollback considerations, and operational handover inputs.

  • Ensure vendor‑delivered technical work is aligned to standards through review, integration oversight, and quality controls.

  • Collaborate with QA/Validation to ensure the solution is testable and traceable, with appropriate evidence generation through the SDLC (unit/integration/system testing hooks, logs, artifacts).

  • Partner with the Solutions Architect to ensure adherence to enterprise patterns, security/privacy expectations, and architectural constraints, escalating gaps early and proposing practical implementation options.

  • Post‑release, drive reliability and performance tuning, manage technical debt, and improve observability to support ongoing stability of agentic behaviors in production.

Key Qualifications

Experience

  • 5+ years in software engineering roles with demonstrable hands‑on leadership as a senior developer, tech lead, or lead engineer delivering complex systems.

  • Proven experience leading technical execution across the SDLC, including integration, testing strategy support, and production release readiness.

  • Experience delivering AI‑enabled or data‑intensive products in regulated or enterprise contexts is strongly preferred.

Agentic & Technical Background

Bachelor’s degree in a STEM field (Computer Science, Engineering, Data Science, Information Systems, Mathematics, or related discipline), or equivalent practical experience spanning product management, software delivery, and AI/data systems.

  • Strong engineering fundamentals in software design, APIs/integration, data flows, and distributed systems considerations.

  • Working knowledge of architecture principles (security, scalability, reliability, maintainability) and the ability to collaborate effectively with architecture teams to align implementation with standards and best practices.

  • Strong CI/CD and engineering hygiene: automated testing, code review discipline, environment readiness, and operational awareness.

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 https://jobs.iqvia.com

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.

The potential base pay range for this role, when annualized, is 177 500,00 zł - 329 600,00 zł. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

Top Skills

AI
APIs
Automated Testing
Ci/Cd
Software Engineering

Similar Jobs

Senior level
Artificial Intelligence • Conversational AI
Lead the LLM team at EverAI by architecting and optimizing AI systems, shipping production code, and managing model lifecycle and moderation strategies for a highly-scalable platform with millions of users.
Top Skills: DpoHuggingfaceLlmMachine LearningPythonPyTorchRlhfVllm
23 Days Ago
Remote
United Kingdom
Senior level
Senior level
Artificial Intelligence • Conversational AI
Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.
Top Skills: HuggingfaceLlmMachine LearningPythonPyTorchVllm
17 Hours Ago
In-Office or Remote
United Kingdom
Mid level
Mid level
Machine Learning • Natural Language Processing
The Hebrew Linguist manages translation quality and processes, coordinates linguists, performs edits, and ensures client satisfaction while meeting project deadlines.
Top Skills: Cat ToolsJIRAOffice ApplicationsSdl StudioWindowsXtm

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account