15 of 15 Amazon Bedrock Jobs in the South East

trusted relationships with C-level stakeholders, driving steering committee discussions and aligning AI investments with enterprise goals. GenAI Industrialization: Lead the enterprise rollout of Amazon Bedrock and AgentCore, defining operating models, deployment frameworks, and best practices. Program Governance: Own the financial health, risk mitigation, and delivery success … regulatory frameworks required in the financial sector. What You Bring to the Table AWS Expertise: Proven, hands-on strategic experience with AWS Launchpad , Amazon Bedrock , and enterprise Cloud Services. Executive Presence: Extensive experience managing C-suite stakeholders, managing organizational change, and navigating complex corporate governance. Industry Background: Prior ...

senior business leaders and the technical teams building the solutions. What You Will Do Manage the design and rollout of new AI tools using Amazon Bedrock and AWS AgentCore . Run workshops to help the client figure out the best ways to use AI for their business. Keep … Have 8+ years of experience managing large tech, cloud, or consulting projects. Mandatory Tech Skills: Real, hands-on experience with AWS AI services-specifically Amazon Bedrock (RAG, prompt engineering) and AgentCore . Service Management: A strong background in SIAM and ITSM frameworks. Leadership: proven ability to comfortably talk ...

including model hosting, request routing, continuous batching, and KV-cache optimization Deploy, host, and lifecycle-manage open-source and proprietary LLMs on Amazon EKS and Amazon SageMaker, as well as on-prem and local GPU clusters, using reproducible infrastructure as code and continuous delivery pipelines Implement observability (logs … experience operating LLM inference servers such as vLLM and llm-d (or directly equivalent serving stacks) Hands-on experience hosting and serving LLMs on Amazon EKS and/or Amazon SageMaker, and on local GPU infrastructure Knowledge of LLM reliability and risk considerations, including latency/throughput trade ...

open-source models Working with ElevenLabs and other voice AI/speech technologies Designing solutions across AWS and GCP Building AI services using AWS Bedrock Evaluating and integrating foundation models and LLM platforms Building APIs, data pipelines and integrations between AI services and existing enterprise systems Leading technical decisions … Learning Retrieval-Augmented Generation (RAG) AI Agents and Agentic AI Multi-agent systems Voice AI Speech-to-text/text-to-speech ElevenLabs AWS Bedrock Amazon SageMaker Google Cloud Platform (GCP) Vertex AI Python FastAPI/APIs LangChain/LangGraph Vector databases Embeddings and semantic search Hugging Face ...

applications on AWS (including serverless patterns and appropriate integration components). Agentic AI & Commerce: Strong understanding of building agentic AI platforms on AWS (e.g., Bedrock, orchestrations, RAG, gateways/MCP) and awareness of emerging concepts and standards. Software Engineering & API Design: Strong development background (ideally Java/JavaScript) coupled ...

Experience running an API gateway at scale, ideally Kong, Envoy or Apigee. Hands-on integration experience across multiple LLM providers, such as Anthropic, AWS Bedrock, OpenAI or comparable platforms. Experience designing routing and failover approaches across multiple AI providers. Strong knowledge of RBAC, OIDC and API key lifecycle management. ...

strong security architecture background combined with genuine AI/LLM security experience. Exposure to technologies such as GCP/Vertex AI/Gemini, AWS Bedrock, Azure OpenAI, Anthropic Claude or LangChain/LangGraph would be particularly relevant. This is a cutting-edge opportunity which will shape ...

open-source table formats and catalog services such as Apache Iceberg Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI) Familiarity with AI evaluation and observability practices: evals frameworks, red-teaming, prompt drift detection, and cost/latency monitoring for LLM workloads ...

experience is shipping Lambdas into an account someone else built. (Highly Desirable) You've built AI/ML platform capability on AWS yourself. Bedrock in particular - model access, guardrails, knowledge bases, agentic patterns - plus the surrounding tooling (SageMaker, vector stores, evaluation and observability). Expert-level Infrastructure as Code … deliver cloud-native solutions aligned to our clients goals Take our AI platform capability from early foundations to a production-grade, self-service platform: Amazon Bedrock and the surrounding tooling (model access and routing, guardrails, knowledge bases/RAG patterns, agentic workflows), with the observability, cost controls ...

open-source table formats and catalog services such as Apache Iceberg Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI) Familiarity with emerging technologies in data engineering Ability to drive innovation and continuous improvement Passion for mentoring and developing others ABOUT ...

engagement skills, with the ability to communicate complex technical concepts to both technical and non-technical audiences. Experience with AI platforms including AW Bedrock, Azure AI Foundry or Google Vertex AI. Why Apply? Competitive salary up to £100,000. Great opportunity to gain exposure to new technologies in Data ...

prompt engineering Develop Agentic AI systems for automation and orchestration Build and deploy ML models for business use cases Work across AWS services including Bedrock, SageMaker, Lambda and ECS/EKS Lead AI innovation and enterprise transformation projects Collaborate cross-functionally and mentor other engineers What We're Looking … GenAI Strong Python and Java skills Experience with LangChain, LlamaIndex, CrewAI or similar frameworks Knowledge of RAG, vector databases and semantic search AWS expertise (Bedrock and SageMaker preferred) Experience with APIs, microservices and cloud-native architecture Nice to Have AWS certifications (ML or Architect) MLOps, CI/ ...

delivery quality, technical governance boards, and production readiness. Ecosystem Partnerships: Own technical relationships across major cloud AI ecosystems (Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic, OpenAI). Reusable Assets: Drive the creation of reusable accelerators, frameworks, and IP across client engagements. Required Skills and Experience Clearance: Active … guardrails, and safe deployment at scale. Cloud and Model Ecosystems: Direct experience with major model providers (Anthropic, OpenAI, Google) and hyperscaler AI stacks (AWS Bedrock, Azure AI/OpenAI, Google Vertex AI). AI Governance: Deep knowledge of Responsible AI, risk management, and regulatory frameworks (e.g. ...

delivery quality, technical governance boards, and production readiness. Ecosystem Partnerships: Own technical relationships across major cloud AI ecosystems (Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic, OpenAI). Reusable Assets: Drive the creation of reusable accelerators, frameworks, and IP across client engagements. Required Skills and Experience Clearance: Active … guardrails, and safe deployment at scale. Cloud and Model Ecosystems: Direct experience with major model providers (Anthropic, OpenAI, Google) and hyperscaler AI stacks (AWS Bedrock, Azure AI/OpenAI, Google Vertex AI). AI Governance: Deep knowledge of Responsible AI, risk management, and regulatory frameworks (e.g. ...

enterprise clients. You'll be responsible for architecting production-grade Agentic AI and multi-agent solutions, with a strong focus on AWS and AWS Bedrock, working across business, technology and engineering teams. What you'll be doing Design and deliver Agentic AI, GenAI, RAG and AI-powered assistant solutions. … Architect autonomous and multi-agent systems using AWS Bedrock, Lambda, Step Functions and related services. Work with frameworks such as LangGraph, AutoGen, CrewAI or ADK. Translate business challenges into scalable AI architectures and production solutions. Lead client demonstrations, workshops and technical discussions. Provide technical leadership and mentor engineering teams. ...