1 to 25 of 70 Amazon Bedrock Jobs

career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that … computer science, engineering, mathematics, operations research, or in a highly quantitative field. -Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker. -Experience with design, deployment, and evaluation of Large Language Model (LLM)-powered agents and tools and orchestration approaches. -Experience ...

constructs e.g., LLMs, RAG, Guardrails, MLOps and multi-modality Understanding of various GenAI platform & middleware and how they fit in GenAI architecture e.g., AWS Bedrock, Google Vertex, Langchain or LlamaIndex Able to understand & apply advanced prompt engineering methods and related concepts (RAG, context windows, memory) RAG is a must ...

constructs e.g., LLMs, RAG, Guardrails, MLOps and multi-modality Understanding of various GenAI platform & middleware and how they fit in GenAI architecture e.g., AWS Bedrock, Google Vertex, Langchain or LlamaIndex Able to understand & apply advanced prompt engineering methods and related concepts (RAG, context windows, memory) RAG is a must ...

support strategies for long-term model health, including SLOs, drift monitoring, and feedback loops. Lead deployment of LLM and GenAI services on platforms like Amazon Bedrock and Google Vertex AI. Design and translate infrastructure for GenAI applications: vector databases, embeddings, retrieval/RAG, model gateways, GPU management, observability ...

need: Strong Python and experience with TensorFlow, PyTorch or scikit-learn Hands-on LLM work—prompt engineering, modern NLP techniques AWS experience: SageMaker, Bedrock, S3, Lambda, CloudWatch Understanding of deep learning, transformers and attention mechanisms Knowledge of RAG systems, vector databases and embeddings Experience deploying ML models to production ...

components that accelerate agentic development across teams. Develop secure, resilient, and scalable cloud-native solutions using AWS services (Lambda, ECS, S3, API Gateway, SageMaker, Bedrock, etc.) to support production-grade AI operations. Implement metrics, tracing, and evaluation pipelines that ensure transparency, reliability, and continuous improvement in agentic behavior. Collaborate ...

operating on challenging datasets, delivering reliable, scalable, and observable solutions. What you’ll do Deploy ML and LLM models into AWS production environments (SageMaker, Bedrock, Lambda, ECS, API Gateway) Design and maintain scalable data pipelines for training, validation, deployment, and monitoring Ensure data quality and reliability across multiple sources ...

related field Experience with Agentic AI frameworks and tools (e.g., LangGraph, CrewAI, AutoGen) Familiarity with cloud native-AI infrastructure (e.g., Azure ML, AWS Bedrock, Snowflake) Prior experience in building AI products for clinical development or healthcare analytics #RDSITAI IQVIA is a leading global provider of clinical research services, commercial ...

proactive approach to identifying and mitigating security vulnerabilities during development. Experience designing and deploying Retrieval-Augmented Generation (RAG) pipelines, working with LLM APIs (AWS Bedrock, OpenAI, Azure OpenAI), and using frameworks like LangChain or LangGraph. Strong knowledge of SDLC principles, CI/CD pipelines, and modern engineering practices. Excellent ...

Strong understanding of LLM behaviour, fine-tuning, and prompt engineering. Experience with monitoring tools (e.g., Prometheus, Grafana, MLflow, Evidently AI). Experience in AWS Bedrock LLM models Proficiency in Python and familiarity with ML frameworks (e.g., Hugging Face Transformers, LangChain). Experience with cloud platforms (AWS, Azure ...

Assurance processes for all AI and Machine Learning Operations (MLOps) workflows. Tooling Evaluation: Continuously evaluate and recommend AI builder tools, platforms (Azure OpenAI, AWS Bedrock, Google Vertex AI, etc.), and infrastructure choices based on performance and Total Cost of Ownership (TCO). Ethical Oversight: Ensure all AI strategies ...

production deployment and optimisation Architect and implement advanced solutions leveraging AWS's AI/ML services, with particular focus on Generative AI using Amazon Bedrock and SageMaker Provide technical leadership and mentorship to junior consultants while driving best practices across delivery teams Partner with customers to translate business … career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that ...

have a background in C#) Knowledge of AI principles and AI ethics Knowledge of data safety in LLM usage Experience with: AWS: boto3, Bedrock, SageMaker, Lambda, S3, EC2 Azure: Azure OpenAI Service, Cosmos DB Retrieval-Augmented Generation (RAG), Graph RAG Embedding models and LLM training fundamentals Damia Group Limited ...

Engineer - £350PD - Remote Required Technical Skills AWS & Generative AI Experience with AWS Bedrock including model selection, deployment, and prompt engineering Agentic workflow development, ideally using AWS AgentCore Multi-agent orchestration frameworks such as AWS Strands Agents, LangGraph, or similar LLM integration and fine-tuning (Claude, GPT-4, or equivalent ...

Engineer - £350PD - Remote Required Technical Skills AWS & Generative AI Experience with AWS Bedrock including model selection, deployment, and prompt engineering Agentic workflow development, ideally using AWS AgentCore Multi-agent orchestration frameworks such as AWS Strands Agents, LangGraph, or similar LLM integration and fine-tuning (Claude, GPT-4, or equivalent ...

Title: GenAI Senior Developer - AWS Bedrock Role Type: Contract Duration: 6 Months Location: Dallas, TX (Onsite) Experience: 7+ Years Skill Category: Digital Cloud DevOps Job Summary We are seeking a highly skilled GenAI Senior Developer with strong Cloud DevOps expertise to design, build, and deploy enterprise-grade Generative … cloud-native architectures, and DevOps automation, ensuring scalable, secure, and reliable AI platforms. Key Responsibilities Design, develop, and deploy Generative AI applications using AWS Bedrock and foundation models. Build and optimize LLM pipelines, including prompt engineering, inference workflows, and model integrations. Implement Retrieval-Augmented Generation (RAG) solutions using vector ...

experience with Retrieval-Augmented Generation (RAG) Proficiency in vector databases (Milvus, FAISS, or similar) Database integration (MongoDB/PostgreSQL, GraphDB) Experience integrating AWS Bedrock models Desired Qualifications: Prompt engineering for optimizing LLM interactions Ability to design and deploy AI agents using LangGraph, CrewAI etc Experience in multi-step reasoning ...

Knowledge Graph expertise - deep knowledge with Knowledge Graphs and vector databases Strong technical fluency - TypeScript/React, Langgraph/Langchain, neo4j, Docker, AWS (SageMaker, Bedrock, Hugging face), to name a few So What's Next? If you are an experienced AI Software developer with Knowledge Graph expertise ...

Knowledge Graph expertise - deep knowledge with Knowledge Graphs and vector databases Strong technical fluency - TypeScript/React, Langgraph/Langchain, neo4j, Docker, AWS (SageMaker, Bedrock, Hugging face), to name a few So What's Next? If you are an experienced AI Software developer with Knowledge Graph expertise ...

Knowledge Graph expertise - deep knowledge with Knowledge Graphs and vector databases Strong technical fluency - TypeScript/React, Langgraph/Langchain, neo4j, Docker, AWS (SageMaker, Bedrock, Hugging face), to name a few So What's Next? If you are an experienced AI Software developer with Knowledge Graph expertise ...

Knowledge Graph expertise - deep knowledge with Knowledge Graphs and vector databases Strong technical fluency - TypeScript/React, Langgraph/Langchain, neo4j, Docker, AWS (SageMaker, Bedrock, Hugging face), to name a few Benefits include: Flexibility - the team works fully remotely, albeit with frequent meetups to share ideas Stock options Excellent ...

Knowledge Graph expertise - deep knowledge with Knowledge Graphs and vector databases Strong technical fluency - TypeScript/React, Langgraph/Langchain, neo4j, Docker, AWS (SageMaker, Bedrock, Hugging face), to name a few Benefits include: Flexibility - the team works fully remotely, albeit with frequent meetups to share ideas Stock options Excellent ...

containerisation Spec-driven development mindset NICE TO HAVE Python experience AI frameworks such as LangChain or LlamaIndex Event-driven architectures and message queues AWS Bedrock or similar AI services WORKING ARRANGEMENT & PACKAGE Hybrid working: 3 days per week in the Bristol office Flexible working hours and early finish ...

complex, regulated environments. Deep understanding of the AI/ML lifecycle, model governance, and ethical AI. Hands-on experience with platforms such as AWS Bedrock, Azure AI Foundry, Google Vertex, and open-source AI/ML stacks. Familiarity with Agentic AI Frameworks and risk-based AI assurance. Strong grasp ...

more core technology areas: NoSQL (MongoDB, DocumentDB) Graph databases (GraphDB, Neo4j) Search technologies (ElasticSearch, OpenSearch, SOLR) ML/AI frameworks (SageMaker, Bedrock) Cloud-based data engineering (AWS) Build and maintain cloud-native data pipelines, ensuring data quality, accuracy, and reliability. What We’re Looking For 5+ years’ experience ...