26 to 50 of 218 Permanent Amazon Bedrock Jobs

prompt/context engineering, or retrieval-augmented generation approaches. Experience designing or implementing agentic AI solutions using frameworks or platforms such as Agent2Agent Protocol, Bedrock Agents, Mastra, CrewAI, Strands, AgentCore, LangChain, or LangGraph. Strong understanding of leading AI APIs and model platforms such as OpenAI, Anthropic, Gemini, Amazon Bedrock, and Google Vertex AI. Proficiency in TypeScript and familiarity with key libraries and frameworks such as Nx, Next.js, Mastra, Vercel AI SDK, Playwright, Jest, and Vite. Python proficiency and familiarity with libraries and frameworks (uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). Demonstrated curiosity and practical experimentation ...

loop review throughout the AI lifecycle. Design, build, and maintain scalable ETL and AI data pipelines using Databricks, PySpark, SQL, Delta Lake, Amazon S3, and AWS analytics services. Mentor junior team members and provide technical leadership, solution design, and code reviews as appropriate. What You Will Need: Must … fields. What Would Be Nice To Have: Experience implementing AI copilots, intelligent assistants, AI agents, workflow automation, or enterprise knowledge management solutions. Experience with Amazon Bedrock, Azure OpenAI, OpenAI, Anthropic Claude, Google Vertex AI, Microsoft Copilot Studio, LangChain, LangGraph, LlamaIndex, Hugging Face, or similar AI frameworks. Experience with ...

engineers to take AI use cases from prototype to production. Responsibilities Design and build LLM-powered applications and AI agents using platforms such as Amazon Bedrock and Microsoft Foundry Build RAG pipelines, including document ingestion, chunking, embeddings and vector search Develop evaluation frameworks to measure answer quality, safety ...

applications. Agent orchestration, tool calling, RAG, context engineering, vector databases, event-driven integration and human approval workflows. Deployment through Anthropic APIs and/or Amazon Bedrock or Google Cloud Vertex AI, with broader AWS, Google Cloud or Microsoft Azure experience. DevSecOps, containers, infrastructure as code, cloud security, monitoring ...

applications. Agent orchestration, tool calling, RAG, context engineering, vector databases, event‐driven integration and human approval workflows. Deployment through Anthropic APIs and/or Amazon Bedrock or Google Cloud Vertex AI, with broader AWS, Google Cloud or Microsoft Azure experience. DevSecOps, containers, infrastructure as code, cloud security, monitoring ...

frameworks (AutoPrompt, DSPy) and building evaluation suites. Experience with distributed computing, data sharding, and performance optimization. Hands-on with AWS AI deployment services (SageMaker, Bedrock) and workflow orchestration. Demonstrated experience in financial services, particularly investment banking operations. #J-18808-Ljbffr ...

frameworks (PyTorch, TensorFlow, scikit-learn) Deep experience with at least one major cloud (AWS, Azure, or GCP) and its AI services (e.g., SageMaker, Bedrock, Azure OpenAI, Vertex AI) Experience with MLOps tooling (MLflow, Kubeflow, Docker, Kubernetes, CI/CD) Solid grounding in data architecture: data lakes/warehouses, streaming ...

governance, model risk management, and regulatory requirements within financial services. Exposure to modern AI‐native platforms and frameworks including Azure AI Foundry, Vertex AI, Bedrock, Databricks, or Palantir. Strong consulting and problem‐solving mindset. Ability to balance strategic architecture with hands‐on technical delivery. Excellent communication and presentation skills. ...

with agentic commerce protocols: MCP, A2A, ACP (OpenAI), UCP (Google) Hyperscaler agentic platforms: Google Vertex AI/Agent Dev Kit, Azure AI Foundry, AWS Bedrock Agents GEO/AEO content architecture: structuring product data for LLM discoverability What’s in it for you: Our Total Rewards consist ...

software engineering excellence through testing, automation, documentation, and continuous improvement. AI-Native Software Development Build production‐grade AI agents and agentic workflows using AWS Bedrock, Anthropic/Claude, LangGraph, CrewAI, or comparable technologies. Apply an AI‐first mindset to software development by incorporating AI‐assisted tools and automation into ...

/RAG toolchains (e.g., LangChain, LlamaIndex, Semantic Kernel) and vector search (e.g., Pinecone, Weaviate, FAISS, Azure AI Search). Hands‐on experience with AWS Bedrock and Sagemaker would be highly desirable Experience with GenAI platforms (e.g., OpenAI API, Anthropic, Gemini, Llama or equivalents). Exposure to big data/ ...

with agentic commerce protocols: MCP, A2A, ACP (OpenAI), UCP (Google) Hyperscaler agentic platforms: Google Vertex AI/Agent Dev Kit, Azure AI Foundry, AWS Bedrock Agents GEO/AEO content architecture: structuring product data for LLM discoverability What’s in it for you: Our Total Rewards consist ...

design experience. Ability to work independently, navigate an unfamiliar estate and make sound technical judgments. Experience with federated identity and complex integrations. Familiarity with Amazon Bedrock and Bedrock AgentCore. Experience working within regulated environments, including risk, assurance and design controls. Strong operational mindset, with experience owning incident ...

design experience. Ability to work independently, navigate an unfamiliar estate and make sound technical judgments. Experience with federated identity and complex integrations. Familiarity with Amazon Bedrock and Bedrock AgentCore. Experience working within regulated environments, including risk, assurance and design controls. Strong operational mindset, with experience owning incident ...

integrating model serving platforms such as KServe, Ray Serve, or NVIDIA Triton Inference Server alongside other large language model serving stacks Familiarity with Amazon SageMaker JumpStart, SageMaker Endpoints, and Amazon Bedrock for managed model hosting Experience with online large language model quality monitoring, including hallucination detection, toxicity ...

deep passion and desire to engineer and operate the world's largest cloud computing infrastructure to provide a better world for future generations? Amazon Web Services (AWS) builds and operates some of the largest internet infrastructure on the planet; providing companies of all sizes with an infrastructure web services … need exceptionally motivated people who are driven by learning and innovation. AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services ...

enterprise solutionsNice to haveExperience using AI development tools such as Claude Code, OpenAI Codex or GitHub CopilotExposure to Azure AI Search, Azure Application Insights, Amazon Bedrock or other cloud AI servicesFamiliarity with Microsoft 365 Agents SDK, Copilot SDK or enterprise Copilot extensionsKnowledge of AI safety practices, guardrails ...

GenAI/LLM applications in production Strong Python development skills Hands-on experience with LangGraph, LangChain, LlamaIndex, CrewAI or similar Experience with AWS, particularly Bedrock, Lambda, ECS, EKS or SageMaker Strong understanding of RAG, agentic AI and multi-agent architectures Experience with CI/CD, cloud infrastructure and application ...

CloudFormation/Terraform) Observability & reliability: CloudWatch, Dynatrace, logging, monitoring, performance tuning AI-assisted development (medium): GitHub Copilot, basic LLM integration, Claude, AMS mark Bedrock/mark Familiarity with AI/ML concepts and Generative AI tools (e.g., Copilot, ChatGPT) Experience leveraging AI for workflow automation, analytics, or decision support ...

Capabilities, And Skills Experience building agentic AI systems (multi-step workflows, tool routing, planning, memory patterns, supervision/fallback strategies). Experience with AWS Bedrock and/or SageMaker (or equivalent managed ML/GenAI platforms) and deployment patterns for scalable inference. Experience with evaluation frameworks and approaches (golden ...

deploying and scaling AI solutions using at least one major cloud platform: Azure (Foundry, AI Studio, OpenAI, AKS), GCP (Vertex AI, Cloud Run), AWS (Bedrock, SageMaker)* Experience building and automating AI/ML pipelines using tools such as MLflow, Kubeflow, Azure ML, Vertex Pipelines, Airflow or Google ADK* Hands ...

Software Engineering, Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience ...

Software Engineering, Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience ...

Software Engineering, Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience ...

Software Engineering, Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience ...