9 of 9 Permanent Amazon Bedrock Jobs in Slough

been tried before. Challenge conventional wisdom about what's possible with current AI technologies. Required Skills & Experience: Experience with AWS AI services (e.g., AWS Bedrock, SageMaker Studio, Lambda, EKS ) and/or Azure AI services (e.g., Azure OpenAI, Azure Cognitive Service, Azure ML). Experience with designing, building and More ❯

of our Python-based AI orchestration application deployed via containerised services with python engineers and your seld Manage our multi-modal LLM strategy including Amazon Bedrock integration and self-hosted model deployment Optimise vector indexing, retrieval systems, and embedding pipelines for document processing Implement advanced prompt engineering, token …/Nuxt, Python Proven track record with cloud platforms (AWS preferred, but multi-cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Full-stack development across modern web technologies Containerisation More ❯

models using vLLM, DeepSpeed, Triton, TensorRT Multi-Agent Orchestration: Work with LangChain, AutoGen, CrewAI, DSPy and similar tools Cloud & MLOps (AWS): Deploy with SageMaker, Bedrock, Lambda, S3, ECS, EKS Full-Stack Integration: Build APIs (FastAPI, Flask) and integrate with React, TypeScript, Node.js Vector Search: Use FAISS, Weaviate, Pinecone, ChromaDB More ❯

to business development What you bring: 3–10 years in tech consulting, software engineering, or IT strategy Strong experience with GenAI tools (e.g., AWS Bedrock, Vertex AI, Langchain) Deep understanding of AI/ML, prompt engineering, and modern architectures Excellent communication, problem-solving, and stakeholder management skills STEM or More ❯

as getting your fingers on key boards to build them. Strong experience with AWS data services with exposure to AI systems (e.g., AWS DataZone, Bedrock, Redshift, Glue ) and/or Azure data services (e.g., Azure OpenSearch, Azure OpenAI, Fabric, Purview, Data Factory, Synapse ) Proficiency with Python for data processing More ❯

developer perspective. Previous work in financial services, healthcare, or similarly regulated data environments. Experience with LLMs, voice agents, or tools like AWS SageMaker, AWS Bedrock, or ElevenLabs. Exposure to soft real-time systems or distributed system architectures. Knowledge of OAuth, SQS, or running containers in production. More ❯

Required Skills & Experience: Experience in product management or product ownership roles Understanding of data and AI technologies and their business applications, including AWS services ( Bedrock, SageMaker, DataZone ) and Azure services ( OpenAI, Fabric, Purview ) Familiarity with Python for data analysis and prototyping AI solutions Familiarity with agile development methodologies Strong More ❯

/CD and observability initiatives, and contributing to model and vendor risk assessments. Key Responsibilities: Design and implement Python-based automation frameworks on AWS Bedrock, integrating securely with internal systems. Automate and optimize work flows across Operations, Compliance, and Risk using micro services and LLM agents. Develop and refine … Bedrock model strategies; monitor and improve agent performance, latency, and cost. Define SLIs/SLOs, build dashboards, support CI/CD and observability, and contribute to model/vendor risk assessments. Qualifications: 8+ years experience of Software Engineering using Python 3+ years designing distributed, event-driven systems in AWS … Proven experience of integrating or fine-tuning LLM/GenAI solutions (OpenAI, Bedrock or similar) Deep knowledge of Jira data model, webhooks, and REST/GraphQL APIs Strong grasp of SaaS integrations: OAuth, secret rotation, data-in-transit/at-rest encryption Familiarity with financial or regulated environments and More ❯

reference architecture for Copilot and Agentic AI, supporting multi-tenant, multi-region deployments. b. Align CoPilot and adjacent AI frameworks (Google Vertex AI, AWS Bedrock, ServiceNow Agentforce) with HCLTech’s global transformation goals. 2. Executive & Client Advisory a. Advise C-suite and board-level stakeholders on CoPilot-driven business … Microsoft 365 CoPilot, Copilot Studio, Azure OpenAI Service, Cognitive Services, and Graph APIs. • Multi-Vendor Integration: Proven track record integrating Google Vertex AI, AWS Bedrock, and ServiceNow Agentforce into large-scale solutions. • Stakeholder Management: Exceptional executive presence, with experience advising public-sector and Fortune-level clients. • Governance & Compliance: Deep More ❯