SAP AI Engineer III

Deloitte • Nashville, TN

6d • $102,500 - $210,600

About The Position

As an Applied AI Engineer III on Deloitte’s US Technology Product Engineering team, you will take a hands-on role building and enhancing high-visibility SAP full-stack products. You will apply full-stack engineering expertise and applied AI skills to deliver GenAI and agentic capabilities, working with cross-functional teams to take products from concept through production. The role emphasizes customer and business outcomes, high-quality and maintainable engineering, cost-conscious implementation, and continuous improvement.

You will act as a technical advocate for products and contribute across requirements analysis, design, development, testing, integration, support, and ongoing operations. You will use modern software engineering practices and AI- and agentic-enabled software development lifecycle methods to deliver automated deployments and quality checks. You will engage with customers and product teams throughout delivery, rapidly experiment to address customer needs, and communicate technical decisions and trade-offs in terms of business objectives.

Deloitte’s US Technology Product Engineering team develops and deploys internal and go-to-market digital solutions for Deloitte’s businesses, service lines, and internal operations. The position is available in Dallas, Texas; Hermitage, Tennessee; Morristown, New Jersey; Nashville, Tennessee; and New York, New York. The role requires an average of 10% travel. A reasonable estimate of the compensation range is $102,500–$210,600, and the role may also be eligible for a discretionary annual incentive. Limited immigration sponsorship may be available.

Requirements

• Bachelor’s degree in computer science, software engineering, data science, machine learning, or a related discipline; experience is stated to be the most relevant factor.
• 5+ years of experience with most of the following: ABAP Cloud, RAP, CDS, S/4HANA extensibility, Clean Core, FIORI, ODATA, BTP, CPI, DevOps, Joule Studio, RAG, Python, Docker, Kubernetes, Terraform, and unit testing frameworks.
• 3+ years of experience building AI/ML and agentic applications, including hands-on GenAI experience with LLM integration using SAP Business AI capabilities, generative AI hub, Joule, and Joule Studio; parameter mapping; document grounding; Joule environment management; prompt injection; data leakage; authorization boundaries; Responsible AI; and AI agent orchestration.
• 3+ years of experience building SAP-connected applications and extensions with modern cloud engineering patterns, including containers, Kubernetes, microservices, APIs, events, CI/CD, and managed cloud services on Microsoft Azure, AWS, or Google Cloud infrastructure.
• Prior software engineering experience and understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, code instrumentation, and AI-augmented spec-driven development.
• Prior experience with methodologies and tools such as XP, Lean, SAP Activate, Agile product delivery, Fit-to-Standard, Clean Core, DevSecOps/CI-CD, and automated testing.
• Excellent interpersonal and organizational skills, including the ability to handle diverse situations, complex projects, and changing priorities with passion, empathy, and care.
• Ability to travel an average of 10%, based on the work performed and products built.

Responsibilities

• Build and enhance high-visibility SAP full-stack products, incorporating GenAI and agentic capabilities.
• Develop engineering solutions that address complex customer and business problems, emphasizing quality, lean design, outcomes, and inference, token, and cloud cost accountability.
• Serve as a product technical advocate and lead requirements analysis, component design, development, testing, integrations, and support.
• Maintain code-design integrity, alignment with architecture and technology stack, implementation quality, data quality, maintenance, and operations.
• Create technical specifications and write high-quality, scalable, supportable code that meets or exceeds quality KPIs.
• Engage with customers and product teams before, during, and after delivery; use rapid, inexpensive experimentation to identify and deliver suitable solutions.
• Deliver iteratively, favoring action and evidence and producing lean, maintainable solutions amid complexity and uncertainty.
• Collaborate with product management, experience, delivery, customers, and other cross-functional teams to balance feasibility, viability, usability, and value.
• Apply modern software engineering practices and AI/agentic SSDLC techniques to support automated product deployments and quality checks from discovery through production and operations.
• Translate business and user needs, architectures, and UX/UI designs into technical specifications and code; acquire relevant domain knowledge and contribute to quality and technical debt reduction.
• Communicate technical concepts, evidence-backed trade-offs, and coherent narratives that align technical solutions with business objectives; build constructive relationships and consensus across teams.

Benefits

• Broad range of employee benefits (specific benefits are not listed).
• Opportunities for on-the-job learning, formal development programs, mentorship, skill building, and leadership opportunities.
• Potential eligibility for a discretionary annual incentive program, subject to program rules and performance factors.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior