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 ❯
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 ❯
Job ID: Amazon Web Services Australia Pty Ltd Are you a Cloud Architect with GenAI experience? Do you have real-time Data Analytics, Data Warehousing, Big Data, Modern Data Strategy, Data Lake and Data Engineering experience? Do you like to solve the most complex and high scale (billions+ records) data challenges in the world today? Do you like leading … 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: 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 that often span private More ❯
Delivery Consultant - Data Analytics & GenAI, AWS Professional Services Public Sector Job ID: Amazon Web Services Australia Pty Ltd Are you a Data Analytics and GenAI specialist? Do you have real-time Data Analytics, Data Warehousing, Big Data, Modern Data Strategy, Data Lake, Data Engineering and GenAI experience? Do you like to solve the most complex and high scale (billions+ … 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: 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 that often span private More ❯
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 AmazonBedrock 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 AmazonBedrock 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 ❯
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 ❯
Contribute to prompt design and evaluate prompts results Design and implement MLOps pipelines with best practises in mind Prototype, evaluate, and ship AI features using platforms like Claude or AmazonBedrock with a focus on production readiness, not just experimentation. Develop evaluation frameworks for testing model output quality, reliability, and alignment with user goals (e.g., hallucination detection, prompt … re a practical AI builder. Not just a theorist. You think in terms of customer value, vs. research or academic novelty. You've worked with Claude and/or AmazonBedrock (or similar LLM platforms) and understand prompt design, model behavior tuning, and output evaluation. You're comfortable writing code, reviewing PR's, and deliver a reliable, explainable … roles with production responsibility. Proficiency in Python, with experience building and maintaining AI systems, not just analyses. Experience working in Java or TypeScript environments beneficial. Experience with Claude, OpenAI, Bedrock is nice to have or experience with similar LLM platforms required. Familiarity with RAG, Graph-based retrieval, prompt design, and multi-hop reasoning. Experience deploying LLM-powered features into 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 ❯
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 e.g., 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 ❯
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 ❯
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 ❯
cloud environments. Generative AI Ecosystem Knowledge : Deep understanding of the generative AI ecosystem, including AI orchestration frameworks (e.g., LangChain, Llama Index, Haystack) and cloud provider AI offerings (e.g., AWS Bedrock, Vertex AI, Azure Machine Learning). Data Expertise : Strong foundation in data engineering, data analytics, or data science, with the ability to work effectively with various data types and 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 ❯
client proposal/presentations, to onboarding delivery teams Excellent communication and stakeholder management skills, with the ability to articulate technical concepts to non-technical stakeholders Any experience around AWS Bedrock, Google Vertex, AI Studio would be preferable Experience around leading teams and engagements A degree in Computer Science, Data Science, or a related field; advanced degrees are preferred Benefits 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 ❯
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 ❯
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 ❯
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 ❯
City of London, London, United Kingdom Hybrid / WFH Options
Anson McCade
performance, reliability, and alignment. Design and implement memory modules for short-term and long-term agent behaviours. Deploy models and orchestrate AI systems on cloud platforms such as AWS Bedrock, Google Vertex AI, and Azure AI Studio. Integrate semantic search strategies and embeddings to improve LLM relevance and contextual understanding. Build demo-ready user interfaces with tools like Streamlit More ❯
performance, reliability, and alignment. Design and implement memory modules for short-term and long-term agent behaviours. Deploy models and orchestrate AI systems on cloud platforms such as AWS Bedrock, Google Vertex AI, and Azure AI Studio. Integrate semantic search strategies and embeddings to improve LLM relevance and contextual understanding. Build demo-ready user interfaces with tools like Streamlit More ❯
