Senior AI Tech Lead
IQVIA
full-time
Posted on:
Location Type: Office
Location: Sofia • Bulgaria
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Job Level
Tech Stack
About the role
- 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.
Requirements
- 8+ 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.
- 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.
Benefits
- Professional development opportunities
- Flexible working arrangements
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
software engineeringAI-enabled productsdata-intensive productsAPIsintegrationdistributed systemsautomated testingcode reviewperformance tuningtechnical troubleshooting
Soft Skills
leadershipcollaborationproblem-solvingcommunicationtechnical executionquality controlstrategic planningrisk managementoperational awarenessstakeholder engagement