Lead AI Engineer
Core
Lead a world-class team of AI and data engineers to solve complex problems with AI, delivering social and economic value through agentic AI systems and LLM applications.
Role type
Senior IC Lead AI Engineer (Agentic Systems & MLOps)
Builds
Agentic AI systems, multi-agent orchestration frameworks, and production-grade LLM applications for public and private sector clients.
Domain
AI Engineering, Machine Learning, Agentic Systems, Digital Transformation
Deliverable
production ML models
Required skills
AI Engineering, Machine Learning, Data Science, Multi-agent orchestration, Tool-use frameworks, Retrieval-augmented generation (RAG), Autonomous task execution, Serverless computing, CI/CD, Containerization, Infrastructure as Code, Automated testing, Model deployment, Cloud implementation, Automated data pipelines, Data versioning, Prompt engineering, Fine-tuning, Evaluation frameworks, Responsible AI, MLOps lifecycle, Experiment tracking, Hyperparameter tuning, Cross-validation, Model registry, Drift detection, Retraining triggers
Preferred skills
Hands-on coding skills, Agentic coding tools (Claude Code, Cursor, Google Antigravity), NLP, Computer vision, Reinforcement learning, Time series analysis
Technologies
LangChain, LangGraph, AutoGen, CrewAI, OpenAI API, Anthropic API, AWS Bedrock, Google Vertex AI, Azure ML, Hugging Face Transformers, MLFlow, Dataiku, MS Fairlearn, Google PAIR, PyTorch, TensorFlow, Scikit-learn, AWS SageMaker, Docker, Kubernetes, Terraform, Ansible, Datadog, Kubeflow, Weights & Biases, Jupyter
Responsibilities
Build, lead and mentor a world-class team of AI and data engineers; Develop and maintain relationships with clients, colleagues, and partners; Create and deliver technical blogs and thought leadership on AI; Invest continuously in building and extending knowledge and skills; Solve the hardest problems with AI to deliver social and economic value.
Seniority
Senior, hands-on IC with leadership responsibilities
