Take on the role of Senior AWS DevOps & Cloud Engineer, leading the design and delivery of enterprise-scale AI and cloud-native solutions. Oversee technical architecture, mentor engineering teams, and drive AI innovation. Ideal for experienced technical leaders with a strong background in Python, AI, and cloud platforms.
Senior AI & Python Technical Lead
requirements
• Bachelor’s or Master’s degree in computer science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering or a related discipline. • At least 10 years of hands-on experience in Python software engineering and enterprise application development. • At least 5 years of experience designing, developing and deploying production-grade AI/ML and Generative AI solutions. • At least 3 years of experience architecting Retrieval-Augmented Generation (RAG), Agentic AI and enterprise AI platforms. • Proven experience leading technical teams as a Technical Lead, AI Engineering Manager, Principal Engineer or Solution Architect. • Experience delivering enterprise AI platforms on AWS or other major cloud providers. • Strong experience in stakeholder management, engineering governance, solution architecture and large-scale Agile delivery. • Technical Skills Programming & Backend • Python, SQL, NoSQL • FastAPI, Flask, Django • REST APIs, GraphQL, Microservices, Distributed Systems AI / Machine Learning • PyTorch, TensorFlow, Scikit-learn • Hugging Face Transformers • LangChain, LlamaIndex, DSPy Generative AI • LLMs, RAG, GraphRAG • AI Agents, Multi-Agent Systems • Prompt Engineering, Context Engineering • Embeddings, Semantic Search, Hybrid Search Agent Frameworks • LangGraph • CrewAI • Microsoft AutoGen • LangChain Agents Vector Databases • Pinecone, Qdrant, Weaviate • ChromaDB, Milvus, FAISS LLMOps & Evaluation • LangSmith, Ragas, DeepEval • OpenAI Evals, MLflow • Model Monitoring, Prompt Lifecycle Management, AI Observability AI Security & Governance • NeMo Guardrails, Llama Guard, Amazon Bedrock Guardrails • Prompt Injection Protection, PII Protection, Responsible AI, AI Governance Cloud & AI Platforms • AWS Bedrock, SageMaker • ECS, EKS, Lambda, API Gateway • EC2, S3, DynamoDB, OpenSearch • EventBridge, Step Functions, CloudWatch, IAM DevOps & MLOps • Docker, Kubernetes • Terraform, Jenkins • GitHub Actions, ArgoCD • CI/CD, GitOps, Model Deployment, Infrastructure as Code What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress! Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!