26 to 50 of 80 Remote Amazon Bedrock Jobs

Nice to have Programming skills in Java 21 or Python Understanding of financial and business risk domains Experience with native AI cloud services (AWS Bedrock, Google Vertex AI, Azure AI) Exposure to building and operating AI-driven agents and frameworks Familiarity with coding automation tools such as Claude Code ...

building cloud-native applications. Are comfortable working with Docker, Kubernetes, CI/CD pipelines, and containerised deployments. Have experience with solutions such as AWS Bedrock and AgentCoreUnderstand how to deploy, monitor, and operate AI services in production. AI Operations & ObservabilityHave experience implementing monitoring, tracing, evaluation, and cost optimisation ...

Argo CD and Flux Cloud & Orchestration: AWS, Azure, Docker, Kubernetes AI Inference & Application Infrastructure: Frontier and open-weight models via Anthropic, Azure OpenAI, and Amazon Bedrock; model gateways and routing, retrieval and hybrid search, document ingestion, tool/function calling, Model Context Protocol (MCP), and agent orchestration ...

Skills & Experience Proven experience designing and deploying production-grade AI/ML or LLM systems . Expertise with AWS or Azure AI services (e.g., Bedrock, SageMaker, OpenAI, Cognitive Services). Strong Python programming skills with hands‐on experience using frameworks like Autogen and LangGraph . Solid grounding in MLOps ...

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. ...

systems engineering roles. 4+ hands-on expertise with AWS and/or Azure and/or GCP, including Azure ML, Azure Foundry, AWS Bedrock, Google Vertex, as well as cloud compute, networking, storage, and security services. Understanding of ML platform operations and governance concepts, including model deployment strategies, lifecycle ...

engineering: ingestion, cleansing, transformation, embedding, indexing and retrieval pipeline design. Integration across cloud AI services (e.g. GCP + Vertex AI , Vercel AI Cloud, AWS Bedrock, Azure OpenAI) within a broader MACH and API‐led landscape; with preference for GCP and Vercel , or suitable equivalents on AWS and Azure ...

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 ...

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 ...

compliant implementation. Required Skills & Experience Deep experience architecting and scaling enterprise-grade AI/ML systems . Proven expertise with cloud AI ecosystems (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong command of agent frameworks , vector databases , and LLM orchestration tools . Ability to lead multi-disciplinary teams ...

related field, or equivalent industry experienceNice to Have: Experience founding or scaling an FDE/solutions engineering function. Technical founder background. Databricks, AWS Bedrock, or Temporal experience. Deep domain knowledge in healthcare, financial services, or government. Agent framework contributions (Strands SDK, LangChain, open-source MCP servers).Proficiency in German ...

technical stakeholders. Python Django FastAPI AWS Docker Git REST APIs CI/CD JIRA Retrieval-Augmented Generation (RAG) AI Agents Vector Databases Prompt Engineering Amazon Bedrock About You Extensive experience with Django and FastAPI. Strong understanding of software architecture and distributed systems. Experience building cloud-native applications ...

fluency and CI/CD discipline. Nice to have Practical LLM engineering: prompting, batch inference, and cost and throughput trade-offs across providers. SageMaker, Bedrock, or comparable managed ML tooling. Financial and equities domain knowledge: classification taxonomies, factor models, index construction. Valuable but learnable. Infrastructure as code ...

running semi independently Available to start within four weeks DESIRABLE, NOT ESSENTIAL Experience building agentic workflows or working with agent frameworks such as Bedrock, AgentCore, Strands, LangChain or LangGraph Working across different levels of abstraction in AI tooling AWS and Terraform, or infrastructure as code generally Previous startup ...

. Expertise with modern data platforms (e.g., BigQuery/Databricks) and data processing workflows (ETL, pipelines). Excellent experience with cloud hosted AI platforms (Bedrock, Sagemaker, VertexAI) Strong problem-solving abilities, with the capacity to learn quickly and adapt in a fast-paced environment. Excellent communication and a drive ...

supporting the ETFs business. What you will be doing: AI‐accelerated engineering: institutionalize daily use of AI tools (e.g., GitHub Copilot, Claude, ChatGPT, AWS Bedrock) for coding, tests, documentation, and prototyping; set review standards for AI‐generated code. Design, build, and maintain data engineering workflows and platform services supporting ...

practices. Explore and implement AI-powered features where they provide genuine value to customers. Work with technologies such as OpenAI, Anthropic Claude and AWS Bedrock where appropriate. Help establish good practices around AI-assisted development across the engineering team. Contribute to technical design decisions and help shape the future ...

. You will deliver practical automation and AI-enabled workflows across our SOC stack-Cyware, Azure, n8n (future/expanding),Cribl Stream and AWS Bedrock, to name a few. The aim isto reduceSOCanalyst toil, improve triage quality and speed up response, with appropriate governance for a regulated environment. ...

Docker, Kubernetes).Expertise with modern data platforms (e.g., BigQuery/Databricks) and data processing workflows (ETL, pipelines).Excellent experience with cloud hosted AI platforms (Bedrock, Sagemaker, VertexAI)Strong problem-solving abilities, with the capacity to learn quickly and adapt in a fast-paced environment. Excellent communication and a drive ...

Recent experience focused on AI, Generative AI or Agentic AI solutions Proven experience delivering production-grade AI solutions on AWS Strong knowledge of AWS Bedrock, Lambda, Step Functions and related services Experience designing AI agents, multi-agent systems and intelligent workflow automation Hands-on experience with RAG architecture ...

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 ...

Zone deployments, migrations, and modernisation, reporting to Solutions Architects while owning hands-on implementation. Your focus is AI/ML delivery on AWS with Bedrock, SageMaker, and Terraform IaC, while contributing to broader AWS engagements and IaC efforts in a remote, SOW-driven delivery model. #J-18808-Ljbffr ...

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 ...

Responsibilities Set the technical vision, architecture standards and engineering practices for the AWS practice Lead adoption of AI and GenAI capabilities on AWS, including Bedrock, SageMaker and RAG patterns Provide hands‐on technical oversight on complex engagements and ensure quality delivery Establish and nurture the AWS partnership through competencies ...

Environment Direct experience with every tool is not required, but exposure to similar technologies is highly relevant. The current environment includes: Salesforce Agentforce AWS Bedrock Microsoft Copilot and Microsoft Suite Databricks Snowflake Cursor Modern LLM-based tooling and AI-assisted development environments Experience with comparable platforms and the ability ...