101 to 125 of 223 Amazon Bedrock Jobs

retrieval-augmented generation (RAG) patterns Exposure to large language model serving, agentic patterns (tool/function calling, Model Context Protocol), or platforms such as Bedrock or Azure OpenAI Experience with Databricks, MongoDB, or large-scale extract, transform, and load/data integration workflows Knowledge of data governance, lineage ...

real-world apps or workflows. Knowledge of authentication, secret management, network boundaries, and model access governance. Development of AWS services: EC2, EKS, S3, SQS, Bedrock and AgentCore Preferred Skills: Kong API Gateway, Kong Mesh, Flux CD. RESTful API development (FastAPI preferred), microservices, Terraform with GitOps workflows. Prompt evaluation, observability ...

engineers’ way, from build times to how they run AI agents day to day. Running the platform behind our AI workloads across Bedrock, Vertex AI and Azure, with a close eye on reliability and cost. Getting on calls with enterprise customers and our commercial team to troubleshoot and answer ...

production environments, and the implementation of appropriate observability and evaluation mechanisms. Practical experience with enterprise AI platforms, such as Azure AI Foundry, AWS Bedrock or Google Vertex AI. Strong understanding of LLM concepts and vector databases: context windows, temperature and sampling parameters, system prompts, tool/function calling. Experience ...

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 ...

platforms (Pega, UiPath, Automation Anywhere, ServiceNow, Appian, Microsoft Power Platform) and competing enterprise AI and agent platforms (Microsoft Copilot Studio, Google Vertex AI, AWS Bedrock, IBM watsonx, Palantir AIP, ServiceNow AI Agents). Experience with integrated enterprise applications (Workday, Coupa, Jira, Slack, major warehouse or transportation management systems ...

partner due diligence. Your job is to make compliance boring, predictable, and scalable. Our environment AWS infrastructure (EKS, RDS PostgreSQL, Lambda, ECR, S3, SES, Bedrock for AI/LLM) Kotlin backend with Gradle, Next.js frontend with TypeScript GitHub Actions CI/CD, Terraform for infrastructure, Kubernetes via Tanka/ ...

structured outputs. Prompt engineering and evaluation experience, with awareness of guardrails and safety. Experience with at least one cloud GenAI platform (Azure OpenAI, AWS Bedrock, Google Vertex AI). Solid programming skills and understanding of API design and integration patterns. Awareness of responsible AI and secure handling of sensitive ...

/tool calling, and structured outputs. Solid prompt engineering, evaluation, and LLM guardrail/safety experience. Experience with cloud GenAI platforms (Azure OpenAI, AWS Bedrock, Google Vertex AI) and LLMOps tooling. Good understanding of system design, API design, integration patterns, and secure handling of sensitive data. Working knowledge ...

platforms (Pega, UiPath, Automation Anywhere, ServiceNow, Appian, Microsoft Power Platform) and competing enterprise AI and agent platforms (Microsoft Copilot Studio, Google Vertex AI, AWS Bedrock, IBM watsonx, Palantir AIP, ServiceNow AI Agents). Experience with integrated enterprise applications (Workday, Coupa, Jira, Slack, major warehouse or transportation management systems ...

Processing & ETL: Glue, EMR, Athena, CDC/DMS, DataBrew, Kinesis, dbt Data management & metadata: Lake Formation, Glue Data Catalog, SageMaker Catalog/DataZone AI: Bedrock (including AgentCore) and SageMaker AI On Azure, you’re fluent across the core services, for example: Storage & lakehouse: SQL, PostgreSQL, Cosmos, Blob, Data Lake … analytics and decision‐making. AI : You understand how AI is built and deployed in modern data platforms (Databricks, Snowflake) and cloud‐native services like Amazon Bedrock, with enough depth to guide teams and advise clients, spanning LLMs and SLMs, agentic automation, Human in the Loop and MLOps. Data ...

regulated environments Knowledge of vector databases and RAG architectures for building internal SRE knowledge assistants. Knowledge of Generative AI and LLM platforms (e.g., Claude, Amazon Bedrock) Person Specification Strong technical authority with the ability to influence design and operational decisions Highly collaborative, comfortable working across architecture, engineering, security ...

regulated environments Knowledge of vector databases and RAG architectures for building internal SRE knowledge assistants. Knowledge of Generative AI and LLM platforms (e.g., Claude, Amazon Bedrock) Person Specification Strong technical authority with the ability to influence design and operational decisions Highly collaborative, comfortable working across architecture, engineering, security ...

Extensive Python (FastAPI/asyncio) or Go/Java skills - building production APIs and microservices AWS and Kubernetes at scale - including EKS, Bedrock, IAM, RDS/Aurora, deployment strategies, and HPA GenAI and Agentic AI technologies - including LangGraph/LangChain or Google ADK, MCP/A2A, RAG pipelines ...

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 ...

their production systems. Track record taking GenAI POCs from prototype to production‐scale deployments. Experience with hyperscaler AI platforms (Azure AI Foundry, AWS Bedrock/SageMaker, GCP Vertex). Experience building or integrating agentic systems, tool‐use chains, or AI‐native developer toolchains. Why Fireworks? Solve Hard Problems: Tackle ...

search, embeddings, knowledge graphs Evals and safety: Inspect AI, Ragas, OpenAI Evals, NeMo Guardrails, red teaming Platform: Kubernetes, sandboxed or cloud dev environments, AWS Bedrock Backend: Django Observability: Datadog, OpenTelemetry Are you ready for a career with us? We want to ensure you have the right tools and environment ...

apart: LLM Integration Experience: Hands-on experience integrating large language models into production applications or developer workflows, whether via APIs (e.g., OpenAI, Anthropic, AWS Bedrock) or open-source models, with a solid understanding of prompt engineering, context management, and evaluation. AI Tooling Advocacy: A track record of introducing ...

platforms (Pega, UiPath, Automation Anywhere, ServiceNow, Appian, Microsoft Power Platform) and competing enterprise AI and agent platforms (Microsoft Copilot Studio, Google Vertex AI, AWS Bedrock, IBM watsonx, Palantir AIP, ServiceNow AI Agents). Experience with integrated enterprise applications (Workday, Coupa, Jira, Slack, major warehouse or transportation management systems ...

digital pathology, structural biology or other high-volume scientific data modalities and formats. AWS CDK, Batch, ECS, EKS, S3, RDS or Postgres, Athena, SageMaker, Bedrock, or equivalent services. Scientific workflow and data orchestration frameworks such as Nextflow, Dagster, Airflow or similar. Platform security, privacy or governance controls for sensitive ...

databases (mostly Postgres) Improve CI/CD pipelines on CircleCI and GitHub Agentic AI Build and support infrastructure for agentic AI workloads, including Amazon Bedrock and AgentCore Use agentic coding tools in your own work and help the team adopt them safely Team & standards Carry out thorough infrastructure ...

built is changing and wants to be at the forefront of that change. Experience with technologies or concepts such as OpenAI, Anthropic Claude, Amazon Bedrock, LLM APIs, coding agents, structured outputs, tool calling, RAG, semantic search, model routing or AI evaluation would be highly relevant. However ...

engineers. Experience with RAG, tool calling, LLM orchestration and evaluation frameworks would be particularly relevant, alongside exposure to cloud AI services such as AWS Bedrock, Azure AI Foundry or Google Vertex AI. A background in TypeScript or Python would be useful, although the emphasis is on strong software engineering ...

consumer-facing agents Some exposure to AI and agentic platforms — such as Google Gemini, OpenAI Agent SDK, LangGraph, n8n, Microsoft Agent Foundry or AWS Bedrock Familiarity with one or more areas of the commerce technology ecosystem: commerce platforms (Salesforce Commerce Cloud, Commercetools, Shopify, BigCommerce), search and merchandising (Algolia, Bloomreach ...

Degree in computer science, engineering or a related discipline, or equivalent professional experience. Desirable Experience Enterprise model platforms such as Azure AI Foundry, AWS Bedrock or Gemini Enterprise Agent Platform. Agent orchestration frameworks, MCP integrations and AI‐assisted development tools/ADK.dev. SIEM, SOAR, identity governance and enterprise secrets ...