Job Description :

Key Responsibilities :

- Design and define enterprise AI/ML and Generative AI architectures on AWS.

- Lead solution architecture for AI use cases including intelligent automation, predictive analytics, recommendation systems, NLP, computer vision, and GenAI applications.

- Architect and implement scalable AI platforms using AWS AI/ML services.

- Design Retrieval-Augmented Generation (RAG), Agentic AI, and Large Language Model (LLM)-based applications.

- Establish AI governance, security, compliance, and Responsible AI frameworks.

- Define MLOps best practices for model development, deployment, monitoring, and lifecycle management.

- Collaborate with data engineering teams to build AI-ready data platforms and pipelines.

- Provide technical leadership, architecture reviews, and guidance on AI adoption strategies.

- Optimize AI workloads for performance, scalability, reliability, and cost efficiency.

- Evaluate emerging AI technologies and define enterprise AI roadmaps.

Key Technical Responsibilities :

AWS AI & Machine Learning :

- Amazon Bedrock, SageMaker, Comprehend, Lex, Rekognition, Kendra, Textract, Personalize, Forecast

Generative AI & LLMs :

- LLMs, Foundation Models, Prompt Engineering, RAG Architectures, AI Agents, Fine-Tuning, Vector Databases, Knowledge Graphs

Cloud & Architecture :

- AWS Well-Architected Framework, Multi-Account Architecture, Microservices, Serverless, API Management, Docker, Kubernetes (EKS)

MLOps & DevOps :

- CI/CD, AWS CodePipeline, CodeBuild, GitHub Actions, Terraform, Model Monitoring, ML Lifecycle Management

Required Skills & Qualifications :

- Strong experience designing enterprise AI solutions on AWS.

- Deep understanding of Machine Learning, Deep Learning, NLP, and Generative AI.

- Proficiency in Python and AI/ML libraries such as TensorFlow, PyTorch, Scikit-learn, LangChain, and LlamaIndex.

- Knowledge of vector databases such as Pinecone, OpenSearch, Weaviate, or Chroma.

- Strong understanding of cloud security, IAM, encryption, networking, and governance.