76 to 100 of 124 Amazon Bedrock Jobs

understand scientific publications and judiciously apply novel techniques in production Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance Capital One will consider sponsoring ...

Databricks Deploy and operate containerised services on Kubernetes using Terraform for infrastructure-as-code Own and scale vector search infrastructure (OpenSearch, Algolia, AWS Bedrock Knowledge Bases) and embedding pipelines Build and maintain CI/CD pipelines for inference services, retrievers, ingestion workflows, and RAG components Implement observability across ...

/CD) AI/ML Exposure (Key Requirement):Practical exposure to AI/ML, such as: Working with cloud-based AI services (e.g. AWS Bedrock or similar) Supporting AI-enabled data products or workflows Understanding of generative AI and prompt engineering concepts Exposure to ML pipelines or collaboration with ...

/CD) AI/ML Exposure (Key Requirement): Practical exposure to AI/ML, such as: Working with cloud-based AI services (e.g. AWS Bedrock or similar) Supporting AI-enabled data products or workflows Understanding of generative AI and prompt engineering concepts Exposure to ML pipelines or collaboration with ...

design, API stability, backward/forward compatibility, and developer experience Nice to have: Experience with multi-modal systems (video, audio, or image processing) AWS Bedrock, SageMaker, or similar managed AI services Observability frameworks for LLM systems (Langfuse, Arize, LangSmith) RAG pipelines, vector databases, or retrieval-augmented systems CI/ ...

Stack Python TensorFlow/PyTorch LLM frameworks (LangChain, LangGraph, or similar agentic AI tooling) AWS/Azure cloud platforms (including AI services such as Bedrock) Data engineering tools (e.g. AWS Glue or equivalent) NLP, embeddings, vector databases, RAG architectures MLOps tooling for model deployment and monitoring Experience with distributed ...

enterprise environments. Knowledge of authentication, secrets management, network security, and model governance. Experience developing and deploying AWS services, including: EC2 EKS S3 SQS DynamoDB Bedrock AgentCore Desirable Skills Experience with Kong API Gateway, Kong Mesh, and Flux CD. RESTful API and microservices development. Terraform and GitOps workflows. Exposure ...

plenty of room to influence standards and tooling as the function matures. Likely technologies and themes include: Python development OpenAI models Anthropic models AWS Bedrock LLM workflows Agentic AI systems Machine learning algorithms API-led microservices Cloud platforms Monitoring, management, and alerting Vulnerability management workflows AI-assisted report generation ...

Gateway, EventBridge, SQS, Step Functions Databases: DynamoDB, PostgreSQL, Aurora, MongoDB Frontend: React, TypeScript, MUI DevOps: AWS CDK, Terraform, Docker, GitLab CI, CodePipeline AI: Amazon Bedrock, RAG, LLM integrations Skills Required Commercial software engineering experience Strong AWS cloud/serverless experience Strong backend development skills in TypeScript, Python ...

build trust and confidence with senior stakeholders • Experience delivering AI solutions into production • Strong Python engineering fundamentals • Azure AI Foundry, Azure ML, Databricks, SageMaker, Bedrock, or similar • MLOps, CI/CD, observability, and production AI delivery • Experience leading teams, workshops, and technical discussions You’ll be: • Leading client workshops ...

enterprise environments. Knowledge of authentication, secrets management, network security, and model governance. Experience developing and deploying AWS services, including: EC2 EKS S3 SQS DynamoDB Bedrock AgentCore Desirable Skills Experience with Kong API Gateway, Kong Mesh, and Flux CD. RESTful API and microservices development. Terraform and GitOps workflows. Exposure ...

technical teams in a consulting or professional services setti ng Desirable Experie nceFamiliarity with specific cloud-native AI services such as Azure OpenAI, AWS Bedrock, or Google Gem iniKnowledge of prompt engineering, prompt chaining, and model fine-tuning techniq uesExperience with multi-agent orchestration and advanced vector search implementati ...

/analytics environments Candidates must demonstrate some level of exposure to AI/ML, such as: Working with cloud-based AI services (e.g. AWS Bedrock or similar) Supporting AI-enabled data products or workflows Understanding of generative AI/prompt engineering concepts If your experience matches the above requirements ...

exposure (e.g. Terraform, APIs, CI/CD beneficial) * Experience working in Business Intelligence/analytics environments * Working with cloud-based AI services (e.g. AWS Bedrock or similar) * Supporting AI-enabled data products or workflows * Understanding of generative AI/prompt engineering concepts * Exposure to ML pipelines or collaborating with ...

enterprise LLM applications Retrieval-Augmented Generation (RAG) architectures AI agents and workflow orchestration AI solution architecture and systems integration Azure OpenAI, AWS Bedrock, GCP Vertex AI, or similar platforms Enterprise AI governance, scalability, and deployment considerations AI-enabled automation and operational transformation Skills & Experience Experience delivering AI, data ...

LangChain, Semantic Kernel, AutoGen, CrewAI, or similar MCP, tool-calling, or function-calling workflows RAG, vector search, embeddings, or enterprise knowledge retrieval systems AWS Bedrock or enterprise LLM platforms Experience with enterprise automation or orchestration tooling Familiarity with Workato, MuleSoft, Boomi, or similar iPaaS platforms Exposure to retail, restaurant ...

business stakeholders to deliver secure, cost-effective AI solutions on AWS. Key Responsibilities Design and implement production GenAI applications using LLMs (e.g. Anthropic, AWS Bedrock models) Build and deploy RAG systems using vector databases and semantic search Develop agentic AI workflows using frameworks such as LangChain, LangGraph, CrewAI … practices Required Skills & Experience 1+ year hands-on experience deploying GenAI/LLM applications into production Experience with AWS services such as Lambda, SageMaker, Bedrock, S3, EC2 and ECS Strong Python development skills with modern AI/ML libraries Practical experience using at least one LLM API Solid understanding ...

platforms), including secure development, data protection, compliance and enterprise architecture principles. Hands-on experience integrating LLMs into production, including use of APIs (e.g. OpenAI, Bedrock), prompt orchestration, tool usage and interaction patterns. Expertise in AI system design including state management, memory strategies, evaluation approaches, guardrails, observability and performance optimisation ...

latency optimisation, token cost control, context management, monitoring, guardrails and prompt versioning Exposure to AIOps/MLOps practices and hands-on experience with AWS Bedrock, SageMaker, Vertex AI, or similar cloud AI platforms Comfortable working autonomously and taking ownership in a fast-moving, remote, startup environment Nice-to-Haves … systems, including RAGAS, OpenEvals, DeepEval, LangSmith, OpenTelemetry or LLM-as-a-Judge evaluation frameworks Familiarity with graph databases such as Neo4j or Amazon Neptune Experience with recommendation systems, personalisation pipelines or ranking systems Experience building modern web applications using Django, FastAPI, React, or similar frameworks Comfortable using Docker ...

using cutting-edge AI technologies within the banking sector. Key Responsibilities: Utilise hands-on experience with leading AI technologies and platforms, such as AWS Bedrock, Azure OpenAI, and Microsoft 365, to support teams in adopting these capabilities securely. Provide guidance on model security, deployment patterns, integration architectures, observability … Requirements: Master proficiency in Network Encryption. Expert proficiency in Secure AI. Master proficiency in Microsoft Azure Active Directory Security. Intermediate proficiency in AI Agents, Amazon Bedrock, and Microsoft Azure AI Foundry. Experience in translating platform-specific risks and best practices into actionable solutions. Strong collaborative skills to work ...

such as LangChain or LangGraph Experience shipping AI powered features into production environments Solid understanding of cloud infrastructure, ideally AWS and services such as Bedrock or serverless tooling Experience with modern web technologies including React and JavaScript or TypeScript Comfortable working in evolving codebases, with exposure to Ruby ...

typical tools include: Python for experimentation, modelling, and evaluation Weights & Biases (or equivalent) for experiment tracking AWS , including services such as SageMaker and Bedrock Internally supported AI development platforms and tooling This role is not suited to candidates who are dogmatic about specific tools . Adaptability and outcome focus ...

assisted development will not be a good fit for this team. Commercial AI API Experience — Has written production code calling Claude API, AWS Bedrock, OpenAI, or similar. Who Fits This Role: GTMaritime is a lean, close-knit team. The culture runs on trust, ownership, and showing ...

applications having organization-wide impact Hands-on experience with LLM integration patterns and at least one LLM gateway or proxy product (LiteLLM, Portkey, AWS Bedrock Gateway, or equivalent), including model routing, rate limiting, and token usage attribution in a multi-tenant cloud environment Preferred: Experience in a hybrid Cloud ...

Length: 9 months All candidates must demonstrate: UK FinServ Compliance: Deep familiarity with DORA , FCA Operational Resilience , and the EU AI Act . AWS Bedrock Stack: Hands-on experience with Agents, Knowledge Bases, Guardrails, and model lifecycles. AI/ML Core: Mastery of FMs, RAG, tool ...