1 to 25 of 60 Permanent Amazon Bedrock Jobs

into compliant cloud architectures ensuring adherence to PCI-DSS, SOX, GDPR, SOC 2, Basel III, and local financial regulations Architect secure network foundations using Amazon VPC (subnets, Security Groups, NACLs, NAT Gateways, VPC Endpoints, Transit Gateway) and implement least-privilege access using IAM, IAM Identity Center, and IAM Access … strategies using AWS KMS, Secrets Manager, and Certificate Manager for data protection at rest and in transit Design end-to-end MLOps pipelines using Amazon SageMaker (Pipelines, Model Registry, Projects, Feature Store, Clarify, Model Monitor) for automated model training, deployment, bias detection, and monitoring Architect Generative AI solutions using ...

Understanding of the full development life cycle, including CI/CD, monitoring, telemetry, and on-call incident response. Practical experience with LLM orchestration frameworks (Bedrock, Vertex, Semantic Kernel, LangChain). Strong verbal and written communication skills, with the ability to articulate complex technical designs and decisions clearly. Preferred Experience ...

Science, or related field Hands-on experience with AI frameworks such as LangChain, LlamaIndex, TensorFlow, or PyTorch Expertise deploying solutions on cloud platforms (AWS Bedrock/SageMaker or Google Cloud Vertex AI) Experience working with modern data tooling (e.g., dbt, Airflow) or similar frameworks for data transformation and workflow ...

orchestration, tool use, and frameworks like LangGraph and LangChain. Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock). Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes. Strong grasp of secure coding and modern DevOps practices ...

orchestration, tool use, and frameworks like LangGraph and LangChain. Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock). Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes. Strong grasp of secure coding and modern DevOps practices ...

orchestration, tool use, and frameworks like LangGraph and LangChain. Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock). Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes. Strong grasp of secure coding and modern DevOps practices ...

Python and popular ML libraries (TensorFlow, PyTorch) Familiarity with Agentic Frameworks (LangGraph, LangChain, CrewAI) Hands-on experience building with LLM APIs (OpenAI, Anthropic, Bedrock, etc.) in production. Practical knowledge of evaluation methodologies for LLM systems. Familiarity with gradient boosting methods (XGBoost, LightGBM, scikit-learn) applied to structured/tabular ...

like LangGraph, Semantic Kernel, LangChain, LlamaIndex and AutoGen tool use, function calling, multi-step reasoning and orchestration. Integrating foundation models via Azure OpenAI, AWS Bedrock and open-weight model endpoints (Llama, Mistral, Claude, GPT family). Applying prompt engineering, guardrails, evaluation and observability using tooling such as LangSmith, Langfuse ...

like LangGraph, Semantic Kernel, LangChain, LlamaIndex and AutoGen tool use, function calling, multi-step reasoning and orchestration. Integrating foundation models via Azure OpenAI, AWS Bedrock and open-weight model endpoints (Llama, Mistral, Claude, GPT family). Applying prompt engineering, guardrails, evaluation and observability using tooling such as LangSmith, Langfuse ...

experience with AI frameworks (e.g. TensorFlow, PyTorch and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic and/or AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering and fine-tuning of large language models. ...

pipelines and Feature Store management. Understanding of lineage tracking: training data snapshot, feature versions, code versioning, metadata tracking, reproducibility. Hands-on experience with AWS Bedrock and Agentcore service. Experience with CloudWatch, SageMaker Model Monitor, Prometheus/Grafana. Strong foundation in Python and cloud-native development patterns. Solid understanding ...

Develop enterprise-grade MCP (Model Context Protocol) services enabling seamless client agent integration with standardized APIs, security protocols, and comprehensive documentation Leverage AWS technologies (Bedrock, Lambda, etc) to architect AI solutions with optimal performance, cost efficiency, and enterprise-scale LLM integration Design and optimize schemas for storing LLM interactions … scale enterprise datasets and SaaS platforms. Expertise in design patterns for memory systems and context management solutions and optimization for AI workloads Experience with Amazon Bedrock and AWS Lambda for serverless AI deployments Experience with RAG systems, vector databases, and semantic search Understanding of Model Context Protocol ...

effectively with team members. Excellent problem-solving skills and attention to detail What Desired Skills You'll Bring: Experience with cloud platforms like AWS, Bedrock, SageMaker, or Azure Foundry for AI solution deployment Familiarity with semantic search and recommendation systems Knowledge of distributed systems and scalable architectures ...

active DoD Secret Security Clearance. Must be able to travel up to 15% of the time. Preferred Qualifications: Experience with cloud platforms like AWS, Bedrock, SageMaker, or Azure Foundry for AI solution deployment. Familiarity with semantic search and recommendation systems. Knowledge of distributed systems and scalable architectures ...

effectively with team members. Excellent problem-solving skills and attention to detail What Desired Skills You'll Bring: Experience with cloud platforms like AWS, Bedrock, SageMaker, or Azure Foundry for AI solution deployment Familiarity with semantic search and recommendation systems Knowledge of distributed systems and scalable architectures ...

including RDS, Aurora, Redshift, and DynamoDB Implementing data lakes using S3 and related AWS services Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases Developing AI agents ...

including RDS, Aurora, Redshift, and DynamoDB Implementing data lakes using S3 and related AWS services Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases Developing AI agents ...

including RDS, Aurora, Redshift, and DynamoDB Implementing data lakes using S3 and related AWS services Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases Developing AI agents ...

years in AI/ML engineering, shipping models in production • 3+ years in a Staff-level or senior technical leadership role • Hands-on AWS (Bedrock, SageMaker) and/or GCP Vertex AI • Strong Python; Java or Rust a bonus • Experience with LLMs, evaluation frameworks, and agentic AI patterns • Docker … Terraform, CI/CD • A collaborative leadership style — mentoring engineers, shaping best practices ────────────────────────── Core stack: Python · Rust · Java · Amazon Bedrock · SageMaker · Vertex AI · LangGraph · Pydantic AI · LangFuse · MLFlow · Databricks · Datadog · Claude Code · Docker · K8s · Terraform · Vector DBs · Graph DBs ────────────────────────── UK Remote Competitive Salary and benefits Not eligible ...

e.g. RAG, agentic workflows, NLP). Strong product and systems thinking with a practical, impact-led mindset. Nice to Have AWS experience (e.g. SageMaker, Bedrock, Lambda, S3, Redshift). Familiarity with MLOps practices. Background in adtech, media, fraud, or adversarial systems. Why Join Work on technically challenging, high-scale ...

product-centric ML systems. A product-focused mindset, balancing experimentation with real-world value. Useful additional experience includes: AWS or GCP environments (SageMaker, Bedrock, Lambda, S3, Redshift). MLOps practices (monitoring, deployment, optimisation). Working with streaming data, transformer models or recommendation systems. What They Offer ...

developing in-house server load-balancers and health monitors. • 1 year of experience integrating generative AI APIs (OpenAI, Anthropic, Azure, and/or Bedrock) for agentic applications. • 2 years of experience with AWS services including, S3, SQS, CloudFront, SNS, ECS, EC2, Route 53, Lambda, Kinesis. • 2 years of experience ...

Multi-Agent Patterns or other GenAI techniques. Experience with AI/ML frameworks and tools like LangChain, Spring AI, LlamaIndex, AutoGen, Crew.AI, LangFuse, AWS Bedrock/SageMaker. Experience with version control systems like Git, enabling effective collaboration and code management. Strong problem-solving skills and the ability to think ...

including tools such as OpenAI, Copilot, or JetBrains AI Assistant. • Experience integrating LLMs into applications. • Familiarity with cloud-based services such as AWS (SageMaker, Bedrock, Lambda) or equivalent platforms. • Experience with asynchronous frameworks (Aiohttp, FastAPI, or similar). Tech Stack • Languages & Frameworks: Python, PHP, JavaScript, Vue.js, HTML5, CSS3. • Backend ...

agents. Build tools to tune LLM-based features, deploy agents, MCP and RAG in production, and evaluate performance using tools like Arize, OpenAI, Bedrock, LangChain, vLLM and Ray. Develop reliable, scalable data pipelines and APIs for AI systems. Foster a culture of ownership, experimentation, and customer-first thinking. ...