1 to 25 of 29 Remote Amazon Bedrock Jobs

Data Scientists to containerize and productionize models and algorithms, including those involving RAG and Graph RAG approaches. Manage and optimize our cloud infrastructure for ML workloads on platforms like Amazon Bedrock or similar, focusing on performance, cost-effectiveness, and scalability. Automate the provisioning of ML infrastructure using Infrastructure as Code (IaC) principles and tools. Work closely with product … Java or TypeScript environments is beneficial. Deep experience with at least one major cloud provider (AWS, GCP, Azure) and their ML services (e.g., SageMaker, Vertex AI). Experience with Amazon Bedrock is a significant plus. Strong familiarity with containerization (Docker) and orchestration (Kubernetes). Experience with Infrastructure as Code (e.g., Terraform, CloudFormation). Experience in deploying and managing More ❯

service industry including: Retrieval-Augmented Generation (RAG), GraphRAG, query expansion, map reduce, maximum marginal relevance retrieval and other GenAI techniques. Familiarity with cloud platform providers (minimum of 1): AWS: Amazon SageMaker, Bedrock (Titan, Claude, etc.), CodeWhisperer, Amazon Transcribe, Amazon Comprehend, etc. Azure: Azure OpenAI Service (Gemini, GPT, DALL-E, Codex), Azure Machine Learning, Cognitive Services (Speech More ❯

embedding technologies Expert in building RAG (Retrieval-Augmented Generation) systems at scale Strong experience with MLOps practices and model deployment pipelines Proficient in cloud AI services (AWS SageMaker/Bedrock) Deep understanding of distributed systems and microservices architecture Expert in data pipeline platforms (Apache Kafka, Airflow, Spark) Proficient in both SQL (PostgreSQL, MySQL) and NoSQL (Elasticsearch, MongoDB) databases Strong More ❯

and maintaining tools that support data science and MLOps/LLMOps workflows. Collaborate with Data Scientists to deploy, serve, and monitor LLMs in real-time and batch environments using Amazon SageMaker, Bedrock Implement Infrastructure-as-Code with AWS CDK, CloudFormation to provision and manage cloud environments. Build and maintain CI/CD pipelines using GitHub Actions, AWS CodePipeline …/MLOps experience with a strong focus on building and delivering scalable infrastructure for ML and AI applications using Python and cloud native technologies Experience with cloud services, especially Amazon Web Services (AWS) - SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS. Proficiency in Infrastructure-as-Code using AWS CDK or CloudFormation. Experience implementing and scaling MLOps More ❯

and libraries. Hands-on experience with cloud technologies and services (e.g., AWS, Azure, Google Cloud) Experience with SQL and/or Snowflake. Some experience with Generative AI technologies (e.g. Bedrock, Langchain, LangGraph). Terms like RAG and Graphs are nothing new for you. Proficiency in data preprocessing and feature and/or prompt engineering. Customer-focused engineer with a More ❯

and libraries. Hands-on experience with cloud technologies and services (e.g., AWS, Azure, Google Cloud) Experience with SQL and/or Snowflake. Some experience with Generative AI technologies (e.g. Bedrock, Langchain, LangGraph). Terms like RAG and Graphs are nothing new for you. Proficiency in data preprocessing and feature and/or prompt engineering. Customer-focused engineer with a More ❯

the right fit for Deloitte landscape and uses cases. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI More ❯

the right fit for Deloitte landscape and uses cases. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI More ❯

the right fit for Deloitte landscape and uses cases. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI More ❯

the right fit for Deloitte landscape and uses cases. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI More ❯

the right fit for Deloitte landscape and uses cases. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI More ❯

as multi-class classification, decision trees, support vector machines, and neural networks (deep learning experience strongly preferred) Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services , AWS Bedrock, S3, SageMaker; Azure AI Search, OpenAI, blob storage, etc. Bachelors degree (masters or higher strongly preferred) in machine learning, computer science, data science, applied mathematics or related technical field More ❯

edge analytics capabilities. Responsibilities Design and implement data science frameworks across multi-cloud environments Develop machine learning models for data analysis and automation, including building RAG models for AWS Bedrock Automate analytic solutions and build scalable analytics capabilities Collaborate with the Mission team to gather requirements across various teams Assess and implement new technologies and tools to enhance data More ❯

across multiple teams. • Extensive experience in large scale machine learning, including building, deploying, scaling and securing ML infrastructure in cloud-native environments. • Strong experience with AWS services including SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS, DynamoDB, Kafka, CloudFormation and associated technologies such as Python • Proven ability to drive cross functional technical initiatives and deliver results through More ❯

big data technologies and cloud-based technologies AWS Services, State Machines, CDK, Glue, TypeScript, CloudWatch, Lambda, CloudFormation, S3, Glacier Archival Storage, DataSync, Lake Formation, AppFlow, RDS PostgreSQL, Aurora, Athena, Amazon MSK, Apache Iceberg, Spark, Python ONSITE: Partially onsite 3 days per week (Tue, Wed, Thurs) and as needed. Standard work hours: 8:30 AM - 5:00 PM Required Qualifications … related degree 6 years-of application development, systems testing Nice to have: AWS Redshift, Databricks- delta Lake, Unity catalog, Data Engineering and processing using Databricks, AI and Machine Learning Amazon Bedrock, AWS Sagemaker, Unified Studio, R Studio/Posit Workbench, R Shiny/Posit Connect, Posit Package Manager, AWS Data Firehose, Kafka, Hive, Hue, Oozie, Sqoop, Git/ More ❯

management and organizational skills Preferred Qualifications: Generating Echo handlers and models from OAS using oapi-codegen Launch Darkly Feature Flagging Docker AWS Cloud Services including EKS and RDS AWS Bedrock Knowledgebases and Agents AWS Sagemaker Generative AI Prompt Engineering Additional Information About QAD: QAD Inc. is a leading provider of adaptive, cloud-based enterprise software and services for global More ❯

OpenAI-based solutions and Microsoft Copilot, with a strong emphasis onsecurity, compliance, and responsible AI use. The ideal candidate will have hands-on experience with OpenAI APIs, Microsoft Copilot Amazon Bedrock, and will serve as a bridge between engineering, information security, and business stakeholders-especially within the investor community. RESPONSIBILITIES AI Tool Strategy & Governance Define and maintain standards … drift. Work closely with InfoSec and Legal to ensure all AI deployments meet compliance standards Innovation & Thought Leadership Monitor and evaluateemerging AI capabilitiesand product enhancements from Microsoft, OpenAI, and Amazon Bedrock. Contribute to internal knowledge sharing and represent the team in AI working groups and forums. QUALIFICATIONS Strong understanding ofinformation security principlesandAI governance. Excellent communication and stakeholder management skills. …/ML or NLP. Proficiency withOpenAI APIs,Azure OpenAI, andCopilot Studio. Azure and SSO Administration experience is a nice to have. Familiarity withAWS AI/ML services(e.g., SageMaker, Bedrock, Comprehend). Experience with Harmonic AI or Prompt AI would be a nice to have. Must be able to work in Boston or Needham - 4 days a week onsite. More ❯

Plan Free breakfast and beverages Requirements Proven experience in .NET Core/C# and modern web frameworks like Angular/TypeScript Hands-on experience with LLM APIs (OpenAI, Claude, Bedrock), LangChain, or RAG-based architectures Deep familiarity with API design, microservices, and cloud-first development (AWS, Azure, or GCP) Experience building systems with MongoDB, SQL, or vector databases like More ❯

Plan · Free breakfast and beverages Requirements Proven experience in .NET Core/C# and modern web frameworks like Angular/TypeScript Hands-on experience with LLM APIs (OpenAI, Claude, Bedrock), LangChain, or RAG-based architectures Deep familiarity with API design, microservices, and cloud-first development (AWS, Azure, or GCP) Experience building systems with MongoDB, SQL, or vector databases like More ❯

complex enterprise environments Experience in all architecture domains:- application, data, cloud ( AWS) and technology with expertise with AI, Gen Ai and ML frameworks (e.g., TensorFlow, PyTorch, AWS Sagemaker, AWS Bedrock, OpenAI). Strong experience of AI services and AI lifecycle and model training Proficiency in backend and frontend technologies such as .NET Core, Node.js, and React; familiarity with microservices More ❯

production-grade data infrastructure, preferably for ML/AI use cases with 1+ years working with LLM's. Proficiency with AWS data tooling and cloud-native services; experience with Amazon Bedrock or Claude integration is a plus. Experience with vector databases and embedding pipelines. Familiarity with or interest in graph-based data models and Graph RAG architectures is More ❯

need 4+ years of backend engineering experience Strong experience with Python, Java or Kotlin in production environments Experience designing and maintaining scalable services Familiarity with modern AI providers (AWS Bedrock, Open AI, Anthropic, etc) Proficiency in modern development practices (CI/CD, observability, test automation) A passion for building tooling that accelerates innovation Strong ownership mindset and collaborative approach More ❯

a practical, down-to-earth approach. Nice to have Experience testing AI/LLM-based solutions, including model accuracy, correctness, and performance validation. Familiarity with Azure OpenAI Service, AWS Bedrock, or similar AI platforms. Experience testing OfficeJS applications or add-ins. Background in the LegalTech domain or other highly regulated industries. QA certifications (e.g., ISTQB) or other relevant software More ❯

rather than solely directing teams. Ability to operate as a 'doer' - Must be capable of rolling up sleeves and contributing technically, not just coordinating efforts. Tech Stack & Experience: AWS Bedrock, Azure AI Foundry, Google Vertex, open-source AI/ML stacks Deep understanding of the AI/ML lifecycle, model governance, and ethical AI Familiarity with risk-based AI More ❯

AI agents Design and develop RAG (Retrieval-Augmented Generation) operations to enhance AI model performance Create and maintain prompt workflows for various AI tasks Integrate and work with AWS Bedrock and Bedrock knowledgebases Utilize Anthropic Claude Sonnet for advanced language processing tasks Works closely with business analysts, UI/UX developers, and subject matter experts to understand functional … web application development using .NET and C# Strong proficiency in front-end technologies (HTML5, CSS, JavaScript) Experience with MySQL database design and management Familiarity with AWS services, particularly AWS Bedrock Knowledge of Generative AI concepts and technologies Experience with implementing chatbots or conversational AI systems Understanding of RAG operations and prompt engineering Familiarity with large language models like Anthropic More ❯