Technical Lead - Data Science & AI

Own technical direction and design for AI platform components including retrieval, ranking, evaluation, and agentic services, ensuring platform coherence and adoption across product teams.

Lead design/code reviews, establish engineering standards, and mentor senior and associate engineers in applied Data Science, AI engineering, and backend service architecture.

Architect and build reusable backend services/APIs for the AI platform with production readiness features including observability, cost telemetry, quality gates, and Responsible AI controls.

10+ years in software engineering with substantial applied Data Science and AI experience, including hands-on technical leadership.

Deep expertise in applied Machine Learning (ranking, recommendation or NLP), modern Generative AI frameworks (preferably LangGraph, LangChain), and backend service architecture.

Practical experience with Generative AI stack components: RAG, retrieval systems, LLM orchestration, vector/hybrid search systems (Elasticsearch preferred).

Production operations experience on cloud platforms (Azure preferred) with Kubernetes, strong Python skills plus at least one backend language (C#/.NET preferred).

Experienced technical leader able to balance applied ML, Generative AI engineering, and backend platform development under a platform-centric model focused on reuse and multi-product adoption.

Familiarity with LLM evaluation frameworks, calibration methods, and production-grade AI service design.

Candidate is likely to succeed if skilled in cross-team stakeholder communication, technical mentorship, and making strategic build/buy/adopt decisions on frameworks and tooling.