1 to 25 of 124 Amazon Bedrock Jobs

data, and engineering teams to translate business outcomes into scalable, secure, and cost-optimised architectures on AWS, accelerating delivery of conversational AI products using Amazon Bedrock, agentic frameworks, and retrieval-augmented generation (RAG) patterns. Key responsibilities: Own the target-state architecture for GenAI products (voice and chat), including … multi-account strategy, landing zone alignment, network patterns, and environment segregation (dev/test/prod). Define reference architectures for Amazon Bedrock, model orchestration, RAG, tool/function calling, and agentic workflows (e.g., LangChain/LangGraph/CrewAI/Strands-style patterns) with clear guardrails. Design enterprise ...

capabilities in a fast-moving technology landscape. Your Responsibilities on the Team Design, build, and deploy autonomous AI agents using frameworks like Amazon Bedrock and AgentCore to solve business problems in pricing, sales, operations, and customer interactions. Apply machine vision and feature extraction on home attributes (photos, plans … with experience owning the full data science stack (data pipelines + models + deployment). Hands-on experience with AI development frameworks (LangChain, Strands, Amazon Bedrock, AgentCore, or equivalent). Experience with experimentation frameworks (A/B testing, uplift modeling, multi-armed bandits, causal ML). Exposure ...

architecture Build and optimize data pipelines supporting AI inference and feedback loops Develop backend services/APIs enabling response suggestion workflows Integrate LLM capabilities (Amazon Bedrock) for response generation and embeddings Enable continuous model tuning via: telemetry data quality scoring usage analytics Work with structured and unstructured data … experience in: Python/JVM-based backend development REST APIs/microservices Experience with cloud-native architectures on AWS Data & AI Hands-on with: Amazon Bedrock (or equivalent LLM platforms) data pipelines (batch + streaming) embeddings/retrieval architectures Experience using: Snowflake (data platform integration, CDC concepts) PostgreSQL ...

Development Data Pipeline Engineering Vector Databases such as Pinecone, Weaviate or ChromaDB Cloud & DevOps Experience with at least one major cloud platform: AWS (preferred) Bedrock SageMaker Lambda ECS/EKS S3 Or experience within: Microsoft Azure Google Cloud Platform (GCP) Additional experience with: Docker Kubernetes Git CI/ ...

should demonstrate experience across: Enterprise and solution architecture within complex organisations Cloud-based AI/ML platforms including Azure OpenAI, Azure ML, AWS Bedrock, SageMaker, Google Vertex AI, Databricks, Snowflake, Dataiku or similar technologies Designing scalable and cost-optimised AI solutions using serverless, containerised and Kubernetes-based environments Generative ...

Python (essential) PyTorch TensorFlow Scikit-Learn LangChain LangGraph Hugging Face Vector Databases (Pinecone, Weaviate, ChromaDB or similar) FastAPI REST APIs Cloud & Infrastructure AWS (essential) Bedrock SageMaker Lambda ECS/EKS API Gateway DynamoDB S3 CloudFormation or Terraform Data & Engineering SQL and NoSQL databases Data Warehousing and Data Lake architectures ...

engineering agentic AI systems • Knowledge of the healthcare/pharma domain and experience applying AI to healthcare data • Experience with AWS, especially ECS, Bedrock, SageMaker, serverless compute, and storage • Ability to prototype proof-of-concept web applications with familiarity across the full stack • Expert usage of AI coding tools ...

engineering agentic AI systems Knowledge of the healthcare/pharma domain and experience applying AI to healthcare data Experience with AWS, especially ECS, Bedrock, SageMaker, serverless compute and storage Ability to prototype PoC webapps with familiarity across the full stack Expert usage of AI coding tools and workflows ...

engineering agentic AI systems Knowledge of the healthcare/pharma domain and experience applying AI to healthcare data Experience with AWS, especially ECS, Bedrock, SageMaker, serverless compute and storage Ability to prototype PoC webapps with familiarity across the full stack Expert usage of AI coding tools and workflows ...

engineering agentic AI systems Knowledge of the healthcare/pharma domain and experience applying AI to healthcare data Experience with AWS, especially ECS, Bedrock, SageMaker, serverless compute and storage Ability to prototype PoC webapps with familiarity across the full stack Expert usage of AI coding tools and workflows ...

engineering agentic AI systems Knowledge of the healthcare/pharma domain and experience applying AI to healthcare data Experience with AWS, especially ECS, Bedrock, SageMaker, serverless compute and storage Ability to prototype PoC webapps with familiarity across the full stack Expert usage of AI coding tools and workflows ...

engineering agentic AI systems Knowledge of the healthcare/pharma domain and experience applying AI to healthcare data Experience with AWS, especially ECS, Bedrock, SageMaker, serverless compute and storage Ability to prototype PoC webapps with familiarity across the full stack Expert usage of AI coding tools and workflows ...

engineering agentic AI systems Knowledge of the healthcare/pharma domain and experience applying AI to healthcare data Experience with AWS, especially ECS, Bedrock, SageMaker, serverless compute and storage Ability to prototype PoC webapps with familiarity across the full stack Expert usage of AI coding tools and workflows ...

DOING ────────────────────────────── 🔧 Technical Architecture • Designing end-to-end LLM and RAG systems integrated into complex enterprise workflows • Deploying and optimising models on AWS Bedrock, Azure AI Foundry, and self-hosted GPU infrastructure (vLLM, SGLang, Ollama) • Building robust MLOps/LLMOps pipelines — CI/CD, model monitoring, evaluation frameworks, observability • Making ...

pipelines and Feature Store management. Understanding of lineage tracking: training data snapshot, feature versions, code versioning, metadata tracking, reproducibility. Hands-on experience with AWS Bedrock and Agentcore service. Experience with CloudWatch, SageMaker Model Monitor, Prometheus/Grafana. Strong foundation in Python and cloud-native development patterns. Solid understanding ...

engagement you may be designing and optimizing data pipelines using Glue, Lambda, and Redshift, the next you're building GenAI applications powered by Bedrock, Claude, and vector databases to enable intelligent search and automation. You'll work directly with clients to deliver end-to-end data and AI solutions … including RDS, Aurora, Redshift, and DynamoDB Implementing data lakes using S3 and related AWS services Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases Developing AI agents ...

engagement you may be designing and optimizing data pipelines using Glue, Lambda, and Redshift, the next you're building GenAI applications powered by Bedrock, Claude, and vector databases to enable intelligent search and automation. You'll work directly with clients to deliver end-to-end data and AI solutions … including RDS, Aurora, Redshift, and DynamoDB Implementing data lakes using S3 and related AWS services Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases Developing AI agents ...

engagement you may be designing and optimizing data pipelines using Glue, Lambda, and Redshift, the next you're building GenAI applications powered by Bedrock, Claude, and vector databases to enable intelligent search and automation. You'll work directly with clients to deliver end-to-end data and AI solutions … including RDS, Aurora, Redshift, and DynamoDB Implementing data lakes using S3 and related AWS services Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases Developing AI agents ...

engagement you may be designing and optimizing data pipelines using Glue, Lambda, and Redshift, the next you're building GenAI applications powered by Bedrock, Claude, and vector databases to enable intelligent search and automation. You'll work directly with clients to deliver end-to-end data and AI solutions … including RDS, Aurora, Redshift, and DynamoDB Implementing data lakes using S3 and related AWS services Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases Developing AI agents ...

engagement you may be designing and optimizing data pipelines using Glue, Lambda, and Redshift, the next you're building GenAI applications powered by Bedrock, Claude, and vector databases to enable intelligent search and automation. You'll work directly with clients to deliver end-to-end data and AI solutions … including RDS, Aurora, Redshift, and DynamoDB Implementing data lakes using S3 and related AWS services Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases Developing AI agents ...

engagement you may be designing and optimizing data pipelines using Glue, Lambda, and Redshift, the next you're building GenAI applications powered by Bedrock, Claude, and vector databases to enable intelligent search and automation. You'll work directly with clients to deliver end-to-end data and AI solutions … including RDS, Aurora, Redshift, and DynamoDB Implementing data lakes using S3 and related AWS services Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases Developing AI agents ...

engagement you may be designing and optimizing data pipelines using Glue, Lambda, and Redshift, the next you're building GenAI applications powered by Bedrock, Claude, and vector databases to enable intelligent search and automation. You'll work directly with clients to deliver end-to-end data and AI solutions … including RDS, Aurora, Redshift, and DynamoDB Implementing data lakes using S3 and related AWS services Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases Developing AI agents ...

engagement you may be designing and optimizing data pipelines using Glue, Lambda, and Redshift, the next you're building GenAI applications powered by Bedrock, Claude, and vector databases to enable intelligent search and automation. You'll work directly with clients to deliver end-to-end data and AI solutions … including RDS, Aurora, Redshift, and DynamoDB Implementing data lakes using S3 and related AWS services Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases Developing AI agents ...

engagement you may be designing and optimizing data pipelines using Glue, Lambda, and Redshift, the next you're building GenAI applications powered by Bedrock, Claude, and vector databases to enable intelligent search and automation. You'll work directly with clients to deliver end-to-end data and AI solutions … including RDS, Aurora, Redshift, and DynamoDB Implementing data lakes using S3 and related AWS services Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases Developing AI agents ...

engagement you may be designing and optimizing data pipelines using Glue, Lambda, and Redshift, the next you're building GenAI applications powered by Bedrock, Claude, and vector databases to enable intelligent search and automation. You'll work directly with clients to deliver end-to-end data and AI solutions … including RDS, Aurora, Redshift, and DynamoDB Implementing data lakes using S3 and related AWS services Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases Developing AI agents ...