Delivery Consultant - Machine Learning (GenAI), ProServe SDT North Job ID: Amazon Web Services EMEA SARL, Dutch Branch AWS Professional Services is a unique organization. Our customers are most-advanced companies in the world. We build for them world-class, cloud-native IT solutions to solve real business problems and we help them get business outcomes with AWS. Our projects … are often unique, one-of-a-kind endeavors that no one ever has done before. At Amazon Web Services (AWS), we are helping large enterprises build AI solutions on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems. AWS Professional Services works together with AWS customers to address … AI solutions with our customers. You will take advantage of the global scale, elasticity, automation and high-availability features of the AWS platform. You will build customer solutions with Amazon SageMaker, AmazonBedrock, Amazon Elastic Compute (EC2), Amazon Data Pipeline, Amazon S3, Glue, Amazon DynamoDB, Amazon Relational Database Service (RDS), AmazonMore ❯
Sr Solution Architect AI/ML Strategic Accounts EMEA, Strategic Accounts EMEA Job ID: Amazon EU SARL (UK Branch) Are you passionate about pioneering the future of autonomous AI systems and eager to solve real-world problems with the latest agentic solutions? The Strategic Accounts Specialist Solutions Architecture (SSA) team at AWS partners with our most advanced customers to … systems, you'll architect multi-agent ecosystems where specialized AI agents collaborate through sophisticated orchestration frameworks to solve complex enterprise challenges. You'll design autonomous agent architectures that leverage AmazonBedrock's advanced capabilities for reasoning, planning, and execution across enterprise workflows. Working directly with product teams, you'll influence AWS's agentic AI roadmap while helping customers … directed operation. In this role, you'll shape the future of enterprise AI while continuously developing novel solutions to complex business challenges. Using AWS's comprehensive AI stack including AmazonBedrock, Amazon SageMaker, and Amazon Q, you'll implement agentic systems with advanced capabilities including memory retention, cognitive processing, and retrieval augmented generation. You'll design More ❯
Job ID: Amazon Web Services Australia Pty Ltd Are you a Senior Cloud Architect with GenAI consulting specialist? Do you have real-time Data Analytics, Data Warehousing, Big Data, Modern Data Strategy, Data Lake, Data Engineering and GenAI experience? Do you have senior stakeholder engagement experience to support pre-sales and deliver consulting engagements? Do you like to solve … Vetting Agency clearance (see ). Key job responsibilities Expertise: Collaborate with pre-sales and delivery teams to help partners and customers learn and use services such as AWS Glue, Amazon S3, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, Amazon Redshift, Amazon Athena, AWS Lake Formation, Amazon DataZone, Amazon SageMaker, Amazon Quicksight and Amazon Bedrock. Solutions: Support pre-sales and deliver technical engagements with partners and customers. This includes participating in pre-sales visits, understanding customer requirements, creating consulting proposals and creating packaged data analytics service offerings. Delivery: Engagements include projects proving the use of AWS services to support new distributed computing solutions More ❯
Senior Delivery Consultant -Data Analytics & GenAI, AWS Professional Services Public Sector Job ID: Amazon Web Services Australia Pty Ltd Are you a Senior Data Analytics and GenAI consulting specialist? Do you have real-time Data Analytics, Data Warehousing, Big Data, Modern Data Strategy, Data Lake, Data Engineering and GenAI experience? Do you have senior stakeholder engagement experience to support … decisions and desired customer outcomes. Key job responsibilities Expertise: Collaborate with pre-sales and delivery teams to help partners and customers learn and use services such as AWS Glue, Amazon S3, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, Amazon Redshift, Amazon Athena, AWS Lake Formation, Amazon DataZone, Amazon SageMaker, Amazon Quicksight and Amazon Bedrock. Solutions: Support pre-sales and deliver technical engagements with partners and customers. This includes participating in pre-sales visits, understanding customer requirements, creating consulting proposals and creating packaged data analytics service offerings. Delivery: Engagements include projects proving the use of AWS services to support new distributed computing solutions More ❯
candidates to apply. If your 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 why customers from the most … and orchestration approaches Hands-on experience with model customization techniques such as fine-tuning, continued pre-training, and LLM-as-judge evaluation Experience with optimization of models on GPUs, Amazon Silicon, or TPUs, also experience with open source frameworks for building applications powered by LLMs like LangChain, LlamaIndex, and/or similar tools Experience building generative AI applications on … AWS using services such as AmazonBedrock and Amazon SageMaker Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of More ❯
you will be responsible for driving strategy, top line revenue growth and overall end customer adoption of our comprehensive GenAI/ML solutions. AI/ML services such as Amazon Nova, Amazon SageMaker, AmazonBedrock, and our generative AI offerings. You will lead a senior go-to-market team across 100+ countries in EMEA, leveraging sales … on thinking big, delivering exceptional results for our customers, and working across AWS as to build the future of AI and cloud computing. This position is part of the Amazon Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help … candidates to apply. If your 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 why customers from the most More ❯
Delivery Consultant - Data Analytics and GenAI, AWS Professional Services Job ID: Amazon Web Services EMEA Dubai FZ Branch 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 AWS … candidates to apply. If your 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 why customers from the most … Engineer Professional) preferred - Experience with automation and scripting (e.g., Terraform, Python) and kowledge of security and compliance standards (e.g., HIPAA, GDPR) - Experience with AWS AI/ML services (SageMaker, Bedrock, Amazon Q), SQL and at least one programming language (Python, Java, Scala) - Experience in AWS analytics & Generative AI services (e.g., Redshift, EMR, Glue, Athena, QuickSight, Bedrock, Q More ❯
Senior Gen AI Developer (Amazon Q), Amazon Q Customer Success Team (Q-CST) Job ID: Amazon Web Services Australia Pty Ltd AWS is known for its relentless customer obsession. Our Professional Services teams are on the front line of helping customers succeed using AWS technologies that align with the new ways of managing people and rearchitecting critical … processes to leverage the capabilities of Gen AI. Amazon Q-CST Customer Success Team (CST) members leverage their deep knowledge of AWS data services and data analytics in collaboration with our sales and partner teams to propose, architect, and implement transformational solutions for customers. We make customer success a reality using AWS Gen AI services as an enabler. Q … CST Builders are responsible for architecting and developing end-to-end solutions that leverage Generative AI technologies like Amazon Q and Bedrock. This role involves designing and implementing robust solution blueprints that seamlessly integrate Generative AI capabilities into existing systems or applications. Builders collaborate closely with Strategists and customer stakeholders to understand their requirements, translates them into technical specifications More ❯
e.g. data and model versioning, model deployment CI/CD, MLFlow/DVC) Cloud platform experience, especially from an ML standpoint (AWS preferred) Statistical testing experience Experience with AWS Bedrock Experience with C# Containerization via Docker. Awareness of basic data science and generative AI methods. Exposure to generative AI application frameworks like LangChain, LlamaIndex, SmolAgents and griptape. What's More ❯
leadership An understanding of AI, and AI ethics An understanding of data safety in use of Large Language Models Knowledge and experience of either AWS or Azure: AWS (boto3, Bedrock, Sagemaker, Lambda, S3, EC2) Azure (azure Open AI service, Cosmos DB) Python Langgraph Neo4j/cypher Other coding languages/frameworks e.g. Java/.Net AI RAG (retrieval augmented More ❯
strategy, consulting, or software development Prior consulting experience essential Strong technical knowledge of GenAI and ML, including LLMs, RAG, MLOps, and prompt engineering Familiarity with platforms such as AWS Bedrock, Google Vertex, LangChain, or LlamaIndex Experience with both legacy systems and modern tech stacks Proven track record in agile delivery and digital transformation Excellent communication, analytical, and stakeholder management More ❯
frameworks (GANs, VAEs, transformer-based architectures, LLMs). Programming experience with Python, PySpark, microservices, and data modeling. Proficient in LLM orchestration on platforms such as OpenAI on Azure, AWS Bedrock, GCP Vertex AI, or Gemini AI. Architecture & Deployment: Designing, deploying, and scaling AI architectures aligned to enterprise standards. Proven experience in MLOps and AI lifecycle management, with scalable deployments More ❯
cloud platforms such as AWS, GCP, or Azure Understanding of API integration and deploying solutions in cloud environments Familiarity or hands-on exposure to generative AI ecosystems (e.g., OpenAI, Bedrock, Hugging Face) LLMs & Emerging Tech Awareness Awareness of large language models (LLMs) and a strong enthusiasm for staying current with advancements in generative AI and applied machine learning Communication More ❯
challenging. You have a voice here and are encouraged to use it. Your experience and career development is in your hands. We live our leadership principles every day. At Amazon, it's always "Day 1". About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills … candidates to apply. If your 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 why customers from the most … Sales skills, product management experience. - Experience working with Data Scientist, AI Developers and Machine Learning professionals. - Bachelor's degree PREFERRED QUALIFICATIONS - Experience with AWS AI/ML services (SageMaker, Bedrock, Amazon Q, etc.) - Entrepreneurship/startup experience - Experience speaking at conferences and events - Experience in consulting or working for large, complex organizations - Master's degree or equivalent in More ❯
and learn quickly in a fast-paced but supported environment. Bonus Points: Experience in the life sciences sector, specifically within clinical trial design or related function. Experience with AWS Bedrock, AWS OpenSearch and or Azure ML Studio, Azure AI Foundry. Experience with Serverless Architectures in Azure/AWS/GCP. Experience with open-source LLMs or Small Language Models More ❯
expertise in one or more of the following technology areas: NoSQL, such as DocumentDB/MongoDB RDF Graph database such as GraphDB ML/AI such as Sagemaker/Bedrock Search technologies such as SOLR or Opensearch/ElasticSearch Data pipeline engineering utilising cloud-based technologies (AWS) Write high quality clean, testable code, with a focus on incremental innovation. More ❯
Terraform and CloudFormation. Additionally, you will containerize solutions using Docker and Kubernetes . Your work will involve spanning multiple cloud environments such as AWS (EC2, S3, Lambda, CodePipeline, AWS Bedrock) and Azure (Azure AI Foundry). You will also be responsible for integrating front-end customizations in JavaScript/TypeScript for chatbots and interactive interfaces. Furthermore, you will contribute More ❯
years of proven experience in a presales role, particularly in cloud-native environments. 1+ year of experience with generative AI technologies Familiarity with key AI platforms such as AWS Bedrock, DataRobot, and NVIDIA AI Enterprise. Experience designing, building, and operating gen-ai environments. Proven ability to design and white board end to end Retrieval Augmented Generation (RAG) pipelines-including 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 ❯
drive business value Strong problem-solving skills and ability to think critically Client-focused approach with a commitment to delivering exceptional results in a consulting capacity Experience around AWS Bedrock, Google Vertex, AI Studio would be preferable Experience around leading teams and engagements Benefits Why Join Us? This is an opportunity to make a real impact on people and More ❯
Solution to new and existing clients. I am currently looking for experienced DevOps Engineers with strong client-facing experience, preferably in a PreSales capacity. Experience in AI technologies, AWS Bedrock, TensorFlow, PyTorch are strongly preferred. Ideally, you will still remain close to coding in one of Python, Java, or C#. On offer is a top rate salary and benefits More ❯
client workstreams and in the technology department as a whole. Technical skills and knowledge: Cloud hosting providers such as AWS, Azure, GCP, Vercel & Netlify AI platforms such as AWS Bedrock, Microsoft Azure AI, Google Vertex AI AI frameworks such as AutoGen, Langflow Fine-tuned and train AI models Knowledge of Infrastructure as Code, CI/CD Use of Middleware More ❯
product managers, solution architects, and other engineers to design end-to-end LLM-powered experiences for internal and customer-facing applications. Utilize AWS services such as Lambda, Step Functions, Bedrock, S3, ECS/Fargate, DynamoDB, and API Gateway to support scalable, serverless infrastructure. Write production-grade Python code, following best practices in software design, testing, and documentation. Build robust … frameworks. Expert in Python (asyncio, FastAPI preferred). Hands-on experience building and deploying applications on AWS, particularly using Lambda, Fargate, S3, Step Functions, and DynamoDB. Familiarity with AWS Bedrock is a plus. Strong understanding of agentic patterns, prompt chaining, tool calling, and memory/state management in LLM applications. Solid experience with unit and integration testing, CI/ More ❯
Delivery 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 AWS solutions that meet their technical requirements and business … analysis methodologies, and demonstrated ability 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 with automation and scripting (e.g. … including fine-tuning, continuous training, small language model development, and implementation of Agentic AI systems - Experience in developing and deploying end-to-end machine learning and deep learning solutions Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity More ❯
Delivery Practice Manager - Data & AI, Professional Services Job ID: AWS EMEA SARL (Italy Branch) 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 this role, you'll manage a team of ProServe Delivery Consultants while supporting … to address customer outcomes. Possessing 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 sales through scoping technical requirements … candidates to apply. If your 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 why customers from the most More ❯
