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Missile Test Engineer - Entry Level - Rockville, MD
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Deloitte US

SAP AI Engineer III

Dallas, TX, United States
Hermitage, TN, United States
Morristown, NJ, United States
Nashville, TN, United States
NY, United States

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Job details

Apply by: Dec 18, 2026
Posting language: English
Posted: Nov 3, 2026

Original job description

Role Overview:

As an Applied AI Engineer III, you will actively engage in your engineering craft, taking a hands-on approach to building and enhancing high-visibility, SAP full-stack products that serve the business and its users. Your expertise will be pivotal in delighting customers and users, while driving tangible value across Deloitte’s product and AI investments. You will leverage your extensive engineering craftsmanship across full-stack software engineering and modern frameworks - together with applied AI fluency that lets you build GenAI and agentic capabilities directly into the products you deliver - consistently demonstrating your strong track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a dependable team player, collaborating with cross-functional teams to design, build, and ship products end to end, from concept through production.

Key Responsibilities:

Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes - and for the cost of achieving them. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations, and owning the inference, token, and cloud cost of what you build.
Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, component design, development, testing, integrations, and support.
Engineering Craftsmanship: Maintain accountability for code-design integrity, implementation fidelity to architecture and tech stack, quality, data, and ongoing maintenance and operations. Be hands-on, self-driven, and continuously learn new approaches, languages, and frameworks. Create technical specifications, and write high-quality, supportable, scalable code ensuring all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams.
Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time.
Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions.
Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation.
Advanced Technical Proficiency: Possess expertise in modern software engineering practices and principles, including AI and Agentic SSDLC to deliver daily product deployments using full automation from discovery to production to operations with all quality checks through SSDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate strong understanding of the full lifecycle product development, focusing on continuous improvement and learning.
Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs, architectures, and UX/UI designs into technical specifications and code. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff.
Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives.
Engagement and Collaborative Co-Creation: Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions.

The team: US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte’s success. It is the engine that drives Deloitte, serving many of the world’s largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence.

The successful candidate will possess:

Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.

Required Qualifications:

A bachelor’s degree in computer science, software engineering, data science, machine learning, or related discipline. Experience is the most relevant factor.
5+ years of experience with most of the following: ABAP Cloud, RAP , CDS, S/4 HANA extensibility, Clean core, FIORI, ODATA, BTP, CPI , DEVOPS, Joule Studio, RAG, Python, Docker, Kubernetes, Terraform, as well as unit testing frameworks.
3+ years of experience building AI/ML and agentic applications, with hands-on GenAI experience across LLM integration (using SAP's 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 with building SAP-connected applications and extensions using modern cloud engineering patterns, such as containers, Kubernetes, microservices, APIs, events, CI/CD, and managed cloud services, while running on infrastructure from Microsoft Azure, AWS, or Google Cloud.
Prior software engineering experience with the understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentations, and AI-augmented spec-driven development.
Prior experience using methodologies & tools such as XP, Lean, SAP Activate + Agile product delivery + Fit-to-Standard + Clean Core + DevSecOps/CI-CD + automated testing. etc. to deliver high-quality products rapidly.

Other:

Ability to travel 10%, on average, based on the work you do and products you build.
Limited immigration sponsorship may be available.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 - $210,600. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

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Skills

SAP
Leadership
Communicate with customers
Collaboration
Statistical quality control
Process improvement
Communication skills
Organizational skills
Computer science
Machine learning
ABAP
Python
Docker
Kubernetes
IBM Terraform
Unit testing
Microservices
CI/CD
Microsoft Azure
AWS
Google Cloud
Object-oriented programming
Agile
Test automation

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