Sr. Delivery Consultant – AI ML, Professional Services, AWSI HCLS

Are you excited about building software solutions around large complex Machine Learning (ML) and Artificial Intelligence (AI) systems Want to help the largest global enterprises derive business value through the adoption and automation of Generative AI (GenAI) Excited by using massive amounts of disparate data to develop AI/ML models Eager to learn to apply AI/ML to a diverse array of enterprise use Thrilled to be a key part of Amazon who has been investing in Machine Learning for decades - pioneering and shaping the worlds AI technology

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled ML Engineer to join our team as a Delivery Consultant at Amazon Web Services (AWS). In this role youll work closely with customers to design implement and manage AWS AI/ML and GenAI solutions that meet their technical requirements and business objectives. Youll be a key player in driving customer success through their cloud journey providing technical expertise and best practices throughout the ML project lifecycle. You will lead customer-focused project teams as a technical leader and perform hands-on development of ML solutions with exceptional quality

Possessing a deep understanding of AWS products and services as a Delivery Consultant you will be proficient in architecting complex scalable and secure AI/ML and GenAI solutions tailored to meet the specific needs of each customer. Youll 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 job responsibilities
As an experienced technology professional you will be responsible for:
- Leading project teams and implementing end-to-end AI/ML and GenAI projects from understanding business needs to data preparation model development deployment and monitoring
- Designing and implementing machine learning pipelines that support high-performance reliable scalable and secure ML workloads
- Designing scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable
- Collaborating with cross-functional teams (Applied Science DevOps Data Engineering Cloud Infrastructure Applications) to prepare analyze and operationalize data and AI/ML models
- Serving as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures
- Sharing knowledge and best practices within the organization through mentoring training publication and creating reusable artifacts
- Ensuring solutions meet industry standards and supporting customers in advancing their AI/ML GenAI and cloud adoption strategies

This is a customer-facing role with potential travel to customer sites as needed.

About the team
About AWS:
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- Bachelors degree or 5 years of professional or military experience
- 5 years of experience in enterprise technology architecture delivery with experience influencing technical teams and defining and governing technical architecture on complex transformation programs
- Depth in one or more of the following technical areas: AI/ML enterprise architecture modernization or data architecture and engineering demonstrated through technical leadership of enterprise-wide transformation programs at leading global enterprises

- Experience in the healthcare and life sciences industry with emphasis on large biopharma large medtech and payer customers. Experience designing AI solutions that meet regulatory requirements (HIPAA GxP 21 CFR Part 11) and meet standards like OMOP CDISC FHIR and HL7 FHIR R4
- Experience re-designing delivery workflows to become AI-native including steering and validating multi-agent systems at scale to drive delivery productivity and accelerate time-to-value
- Experience in designing and operationalizing agentic AI systems using patterns such as multi-agent orchestration tool-use agents and workflow orchestration ideally leveraging AWS services (Amazon Bedrock AgentCore)
- Experience designing data platforms at scale including data lakes lakehouses knowledge graphs vector databases RAG (Retrieval-Augmented Generation) architectures and ontology-driven architectures
- Experience influencing and aligning customer enterprise architects and partner technical teams on architecture patterns and technology choices in multi-vendor environments

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 transfer the personal data of our candidates.

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