Applied AI Engineer II

As an Applied AI Engineer II, you will take a hands-on approach to building and enhancing high-visibility, full-stack products that serve Deloitte’s business and its users. Your expertise will drive customer delight and tangible value across Deloitte’s product and AI investments. You will leverage full-stack software engineering and modern frameworks, combined with applied AI fluency, to build GenAI and agentic capabilities directly into the products you deliver.

Responsibilities

• Outcome-Driven Accountability: Drive a culture of accountability for customer and business outcomes, including the cost of achieving them. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations. Own the inference, token, and cloud costs 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. Participate in 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 while meeting or exceeding all quality KPIs.
• Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to address 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. Use 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.
• Advanced Technical Proficiency: Demonstrate 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. Serve as a role model in optimizing solutioning and product delivery.
• 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 flexible, dedicated team member focused on quality and tech debt payoff.
• Effective Communication and Influence: Exhibit exceptional communication skills, articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence.
• 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 toward achieving product goals.

Skills

• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to provide clear guidance to others

About the Team

U.S. Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model focused on value and outcomes. 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. The team powers Deloitte’s success, serving many of the world’s largest, most respected companies by developing and deploying cutting-edge internal and go-to-market solutions.

Requirements

• A bachelor’s degree in computer science, software engineering, data science, machine learning, or a related discipline. Experience is the most relevant factor.
• 3+ years of experience with most of the following: Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, as well as unit testing frameworks.
• 2+ years of experience building AI/ML and agentic applications, with hands-on GenAI experience across LLM integration (OpenAI, Anthropic, or open-source models), RAG pipelines, prompt engineering, vector databases, evaluations, and AI agent orchestration.
• 2+ years of experience with cloud-native engineering, using FaaS, PaaS, or micro-services on cloud hyperscalers such as Azure, AWS, or GCP, including their AI/ML services (e.g., Azure OpenAI, AWS Bedrock, or Vertex AI), plus application-level infrastructure-as-code and cost-aware engineering (FinOps accountability).
• Prior software engineering experience with Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentation, and AI-augmented spec-driven development.
• Prior experience using methodologies and tools such as XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, MLflow, and agentic AI frameworks (e.g., LangFuse, LangSmith, or equivalent multi-agent orchestration tools) to deliver high-quality products rapidly.
• Candidates must be located within a commutable distance to one of the select locations available for this role.
• Ability to work in your local office at a minimum of 3 days per week.
• Ability to travel 10%, on average, based on the work you do and products you build.
• Limited immigration sponsorship may be available.

Pay

The wage range for this role takes into account factors such as 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. A reasonable estimate of the current range is $88,600 to $181,900. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, where an award, if any, depends on various factors, including individual and organizational performance.