Lead AI Engineer (Agentic Systems)

Job summary A leading global information provider is seeking a Lead AI Engineer to architect and build next-generation autonomous AI workflows. This role involves cutting-edge software and data engineering, focusing on agentic systems. The ideal candidate will have extensive experience in AI architecture, Kubernetes, and Python. With opportunities to mentor and lead technical strategies, this position helps shape the future of AI at the company. Competitive benefits are offered as well, making it a compelling opportunity for tech experts. Benefits Health & Wellness Flexible downtime Continuous learning Family-friendly perks Qualifications 7+ years of total technical experience in Software, Data, or ML Engineering. 2+ years of experience building and deploying LLM‑based or Agentic systems. Advanced proficiency in Python and production code practices. Responsibilities Architect & build multi-agent workflows using Python and orchestration frameworks. Design and implement robust A2A protocols for autonomous agents. Containerize workloads using Docker and orchestrate on Kubernetes. Skills Software Engineering Data Engineering Machine Learning Engineering Python Cloud Architecture Data Science Kubernetes Docker Education Bachelor’s degree in CS, Engineering, Mathematics Tools Kubernetes Docker AWS AgentCore LangGraph LiteLLM