12 of 12 Amazon Bedrock Jobs in Berkshire

Haystack, LlamaIndex, and LangChain, with a focus on Retrieval-Augmented Generation (RAG) and text/chat generators. Cloud computing with AWS (ECS, EKS, DynamoDB, Bedrock) Knowledge of git version control, branching, and code versioning. Passionate about code quality, adhering to best practices for code quality, performance, testing, monitoring, documentation More ❯

Haystack, LlamaIndex, and LangChain, with a focus on Retrieval-Augmented Generation (RAG) and text/chat generators. Cloud computing with AWS (ECS, EKS, DynamoDB, Bedrock) Knowledge of git version control, branching, and code versioning. Passionate about code quality, adhering to best practices for code quality, performance, testing, monitoring, documentation More ❯

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 ❯

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 ❯

responsible for deploying tooling through cloud platforms, utilising new LLM models and building out new pipelines. Desired Skills ⚙️ Python, SQL Tableau, Power BI Terraform, Bedrock AWS (DMS, Redshift, S3) Azure (Synapse, Microsoft AI) If you are a skilled Engineer (Python, SQL, Tableau, AWS, Azure) who is interested in this More ❯

responsible for deploying tooling through cloud platforms, utilising new LLM models and building out new pipelines. Desired Skills ⚙️ Python, SQL Tableau, Power BI Terraform, Bedrock AWS (DMS, Redshift, S3) Azure (Synapse, Microsoft AI) If you are a skilled Engineer (Python, SQL, Tableau, AWS, Azure) who is interested in this 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 ❯

product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as-code tools like Terraform. Solid understanding of large-scale data pipelines, distributed systems, and microservice architectures. Comfortable working with LLMs, model … communication and stakeholder engagement skills. A degree in Computer Science, Engineering, Data Science, or a similar field. Tech Stack Highlights Python Java AWS (including Bedrock) Claude Terraform Docker MySQL GitHub & GitHub Actions Perks and Benefits Competitive salary package 25 days holiday (Not including bank holidays) Flexible remote working Parental More ❯

product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as-code tools like Terraform. Solid understanding of large-scale data pipelines, distributed systems, and microservice architectures. Comfortable working with LLMs, model … communication and stakeholder engagement skills. A degree in Computer Science, Engineering, Data Science, or a similar field. Tech Stack Highlights Python Java AWS (including Bedrock) Claude Terraform Docker MySQL GitHub & GitHub Actions Perks and Benefits Competitive salary package 25 days holiday (Not including bank holidays) Flexible remote working Parental 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 ❯