26 to 50 of 73 Permanent Amazon Bedrock Jobs

capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Design, develop, and deploy AI systems that can run efficiently in on-premise environments with local models, without depending on 3rd parties like OpenAI, Amazon Bedrock, etc. Optimize Small Language Models (SLMs) for private deployments with attention to performance and resource constraints. Contribute to the architecture of our More ❯

Experience with GPU/TPU optimization and open-source frameworks like LangChain or LlamaIndex Experience building generative AI applications on AWS using services like Amazon Bedrock and SageMaker We are an equal opportunities employer committed to diversity. Your privacy is important to us; see our Privacy Notice . 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 ❯

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 ❯

models that support commercial analytics, customer segmentation, forecasting, market intelligence, and real-world data insights. Architect, automate, and optimize AI pipelines on AWS ( SageMaker , Bedrock, Lambda, Step Functions, Redshift, Glue, S3, etc.). Integrate Generative AI and LLMs into commercial workflows, enabling NLP-based insights, sales intelligence, and customer … in AI/ML, cloud engineering, data science, or MLOps within healthcare, biotech, or life sciences. Expert knowledge of AWS cloud services, including SageMaker , Bedrock, Lambda, Step Functions, Redshift, Glue, DynamoDB . Deep expertise in AI/ML frameworks such as PyTorch , TensorFlow, Scikit-Learn, Hugging Face Transformers. Strong More ❯

on machine learning model development/Large Language Model (LLM) application development. Experience deploying Generative AI applications to production in GCP (VertexAI) or AWS (Bedrock). Demonstrable experience monitoring the performance and output quality of generative models, including assessing/mitigating hallucinations and coherence of generated content. Desirables: Experience More ❯

pipelines (e.g. AWS Glue, Redshift, RDS, Pinecone, Opensearch). Hands-on experience with AI Cloud Infrastructure for MLOps (e.g. Google Vertex AI/AWS Bedrock), including deploying AI applications and managing AI cloud-based services. Expert knowledge of REST, and proficiency in designing and writing APIs. Nice-To-Have More ❯

and pipelines (e.g. AWS Glue, Redshift, RDS, Pinecone, Opensearch). Hands-on experience with AI Cloud Infrastructure for MLOps (e.g.Google Vertex AI/AWS Bedrock), including deploying AI applications and managing AI cloud-based services. Expert knowledge of REST, and proficiency in designing and writing APIs. Nice-To-Have More ❯

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 … 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 More ❯

wide GenAI transformation projects and strategic initiatives Develop and execute AI adoption strategies aligned with customer business outcomes Drive innovation through AWS Foundation Models, Amazon Bedrock, and custom LLM solutions Build executive relationships and drive C-level alignment on AI strategy Orchestrate cross-functional teams including AI/ More ❯

development, staging, and production environments. Automate operational tasks, environment provisioning, and deployments using scripting languages such as Python, Bash, or PowerShell. Enable and maintain Amazon SageMaker environments for scalable ML model training, hosting, and pipelines. Integrate AWS Bedrock to provide foundation model access for generative AI applications, ensuring … Collaborate with security and compliance teams to implement best practices around IAM, encryption, logging, monitoring, and cost optimization. Implement and manage observability tools like Amazon CloudWatch, Prometheus/Grafana, or ELK for monitoring and alerting. Support container orchestration environments using EKS (Kubernetes), ECS, or Fargate. Contribute to incident response More ❯

Delivery Practice Manager - Data Analytics, ASEAN Professional Services Job ID: Amazon Web Services Singapore Private Limited The Amazon Web Services Professional Services (ProServe) team is seeking an experienced Delivery Practice Manager (DPM) to join our ProServe Shared Delivery Team (SDT) at Amazon Web Services (AWS). In … the ability to translate technical concepts into business value for customers and then talk in technical depth with teams, you will cultivate strong customer, Amazon Global Sales (AGS), and ProServe team relationships which enables exceptional business performance. DPMs success is primarily measured by consistently delivering customer engagements by supporting … career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's More ❯

Delivery Consultant - AI/ML and Generative AI, Professional Services GCC Job ID: AWS ProServe IN - Maharashtra The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely … to extract meaningful insights from complex, large-scale datasets PREFERRED QUALIFICATIONS AWS experience preferred, with proficiency in a wide range of AWS services (e.g., Bedrock, SageMaker, EC2, S3, Lambda, IAM, VPC, CloudFormation) AWS Professional level certifications (e.g., Machine Learning Speciality, Machine Learning Engineer Associate, Solutions Architect Professional) preferred Experience … accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race More ❯

days a week We seek a skilled and proactive Senior Platform Engineer to design, build, and support scalable cloud infrastructure and automation pipelines on Amazon Web Services (AWS). You will work closely with DevOps, Security, Data, and AI Application teams to ensure platform reliability, security, and performance. Your … development, staging, and production environments. Automate operational tasks, environment provisioning, and deployments using scripting languages such as Python, Bash, or PowerShell. Enable and maintain Amazon SageMaker environments for scalable ML model training, hosting, and pipelines. Integrate AWS Bedrock to provide foundation model access for generative AI applications, ensuring … Collaborate with security and compliance teams to implement best practices around IAM, encryption, logging, monitoring, and cost optimization. Implement and manage observability tools like Amazon CloudWatch, Prometheus/Grafana, or ELK for monitoring and alerting. Support container orchestration environments using EKS (Kubernetes), ECS, or Fargate. Contribute to incident response More ❯

Consultant - AI/ML and Generative AI, Professional Services GCC The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage … demonstrated ability to extract meaningful insights from complex, large-scale datasets AWS experience preferred, with proficiency in a wide range of AWS services (e.g., Bedrock, SageMaker, EC2, S3, Lambda, IAM, VPC, CloudFormation) AWS Professional level certifications (e.g., Machine Learning Speciality, Machine Learning Engineer Associate, Solutions Architect Professional) preferred Experience More ❯

Would you like to do this using the latest cloud technologies while becoming a core part of the largest cloud infrastructure on the planet? Amazon Web Services (AWS) is seeking a Systems Development Engineer II to own and advance mission-critical services in our Amazon Dedicated Clouds (ADC … who provide troubleshooting and operations support, and innovate to automate operational tasks. About the team AI/ML ADC The AI/ML U.S. Amazon Dedicated Cloud (ADC) organization is a pioneering force in delivering secure, advanced artificial intelligence and machine learning solutions to government and enterprise customers operating … the highest standards of security and compliance. We enable reliable, efficient builds and operations for services like SageMaker, Comprehend, Translate, Transcribe, Textract, Rekognition, and Bedrock in US ADC regions. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered More ❯