Description

You will design, develop, and deploy enterprise Generative AI solutions using AWS Bedrock and Anthropic Claude models.

This role is on-site.

Responsibilities

• Build advanced conversational AI, summarization, and knowledge retrieval systems using Claude APIs and Bedrock-hosted foundation models.
• Develop and optimize Retrieval-Augmented Generation (RAG) architectures using embeddings, vector databases, semantic search, and prompt orchestration.
• Engineer scalable AI and ML workflows within Databricks using Delta Lake, Apache Spark, MLflow, and Lakehouse architectures.
• Implement MLOps and LLMOps best practices for model deployment, monitoring, governance, and lifecycle management.
• Build APIs and microservices to operationalize AI capabilities while ensuring compliance with HIPAA, GxP, and enterprise data governance standards.

Required Skills

• 8+ years of experience in software engineering, AI engineering, or cloud data platforms.
• Strong hands-on experience with AWS Bedrock and Anthropic Claude models in enterprise environments.
• Expertise with prompt engineering, prompt chaining, context window optimization, and RAG implementation patterns.
• Experience with Databricks Lakehouse Platform, Delta Lake, Apache Spark, and MLflow.
• Strong programming skills in Python and experience with LangChain, LlamaIndex, or similar AI orchestration frameworks.
• Experience integrating vector databases and semantic search technologies.
• Strong understanding of AWS-native cloud architectures and AI services.
• Experience with REST APIs, microservices, CI/CD pipelines, containerization, and infrastructure automation.

Preferred Skills

• Experience with clinical, genomics, pharmaceutical, or regulatory datasets.
• AWS Certifications and/or Databricks certifications.

Key Skills

Education

Bachelor's or Master's degrees