Sr Delivery Consultant

Sr Delivery Consultant (AI/ML), Professional Services Job ID: | AWS EMEA SARL (UK 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 solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.Key ResponsibilitiesDesign and develop robust and scalable AI solutions for business problemsInteract with customer directly to understand the business problem, help and aid them in implementation of their ML ecosystemEffectively use Foundation Models available on Amazon Bedrock and Amazon SageMaker to meet our customer's performance needsAnalyze and extract relevant information from large amounts of historical data to help automate and optimize key processesStrong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-expertsComfortable working in a fast paced, highly collaborative, dynamic work environmentMentor and develop members on the teamA Day in the Life Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage 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 successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Basic QualificationsBachelor's degree in Computer Science, Engineering, related field, or equivalent experience.8+ years of consulting experience working with Data and AI/ML solutions and 8 + years of experience in developing long-term strategies around product/ solution roadmap with execution programs to deliver on envisioned strategy.Recent and demonstrable hands‑on experience with AI/ML workloads related to machine learning, deep learning, NLP, CV, GNN, or distributed training.Ability to create compelling customer proposals and executive‑level presentation skills. Able to communicate effectively in English, within technical and business settings.Preferred QualificationsAWS experience preferred, with proficiency in a wide range of AWS services (Amazon SageMaker, Amazon Bedrock, EMR, S3 and EC2). AWS Certification (Solution Architect Associate, Machine Learning Engineer Associate)Working knowledge of AI/ML, generative AI and hands‑on experience in prompt engineering, deploying and hosting Large Foundational Models.Experience with automation and scripting (e.g., Terraform, Python) and knowledge of security and compliance standards (e.g., HIPAA, GDPR).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 your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and