Tech Lead (EU)

Job Description Insight Global is seeking a Tech Lead for a top data and analytics client. This role is ideal for a seasoned engineer who has spent years building systems and now leads teams through complex, stakeholder-driven AI initiatives. The Tech Lead will partner closely with senior business and technical stakeholders to shape requirements, rapidly deliver POCs, and guide teams toward scalable, realistic agentic AI solutions. The ideal candidate brings deep Python expertise, hands-on experience with Microsoft Agentic Framework, and a strong point of view on GenAI best practices—balanced with a clear understanding of where AI and automation succeed and where they fall short. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements 8+ years of engineering experience with increasing scope and responsibility Proven Tech Lead experience guiding teams and technical direction Strong Python expertise (must-have) Experience building APIs using REST / FastAPI (core stack) Hands-on experience with Agentic AI systems Microsoft Agentic Framework experience (must-have) Deep experience working with GenAI systems and best practices Strong understanding of AI / ML / automation capabilities and limitations Ability to rapidly deliver POCs and demos for stakeholders without sacrificing velocity Experience managing multiple projects in parallel Exceptional communication skills, including working directly with senior stakeholders Ability to provide technical feedback on stakeholder requirements and shape tooling decisions Experience designing multi-agent workflows and orchestration patterns Background in enterprise-grade AI platforms or internal developer tools Experience setting engineering standards and best practices for AI teams Familiarity with governance, risk, or approval workflows for AI solutions Experience mentoring engineers and scaling team effectiveness Creative problem-solving approach and ability to implement solutions in multiple architectural patterns