Build high-visibility, end-to-end AI-powered products with Deloitte’s Encore Program in Hermitage, TN (onsite). This role emphasizes accountability for customer and business outcomes, cost-aware engineering, and technical leadership across the full product lifecycle, including applied GenAI and agentic capabilities delivered through full automation from discovery to production to operations.
What you’ll do
- Drive a culture of accountability for customer and business outcomes, including the cost to achieve them.
- Design and implement lean engineering solutions to solve complex problems with valuable outcomes, including ownership of inference, token, and cloud costs for what you build.
- Act as a technical advocate for products by ensuring code integrity, feasibility, and alignment with business and customer goals.
- Participate across the lifecycle: requirements analysis, component design, development, testing, integrations, and support.
- Maintain accountability for code and design integrity, implementation fidelity to the architecture and tech stack, plus quality, data, and ongoing maintenance and operations.
- Translate business and user needs, architectures, and UX/UI designs into technical specifications and code.
- Create technical specifications and write high-quality, supportable, scalable code that meets or exceeds quality KPIs.
- Use rapid, inexpensive experimentation to develop solutions that address customer needs.
- Partner with customers and product teams before, during, and after delivery to help ensure the right solution ships at the right time.
- Adopt an evidence-driven approach that favors action over extensive planning, navigating complexity and uncertainty with maintainable delivery.
- Collaborate with empowered, cross-functional teams including product management, experience, and delivery, integrating diverse perspectives to balance feasibility, viability, usability, and value.
- Contribute to and improve a modern AI and agentic SSDLC approach to enable daily deployments with full automation and quality checks across the SSDLC lifecycle.
- Learn quickly and build domain knowledge relevant to the business or product, including coaching others through role-modeling.
- Communicate complex technical concepts clearly, influence teams with evidence-backed trade-offs, and align technical work to business objectives.
Requirements
- 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 many of: Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, and unit testing frameworks.
- 2+ years building AI/ML and agentic applications, including hands-on GenAI work with LLM integration (OpenAI, Anthropic, or open-source models), RAG pipelines, prompt engineering, vector databases, evaluations, and AI agent orchestration.
- 2+ years cloud-native engineering experience using FaaS, PaaS, or micro-services on Azure, AWS, or GCP, including AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI, plus application-level infrastructure-as-code and cost-aware engineering with FinOps accountability.
- Prior software engineering experience including Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentation, plus AI-augmented spec-driven development.
- Experience with methodologies and tools such as XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, MLflow, and agentic AI frameworks (for example LangFuse, LangSmith, or equivalent multi-agent orchestration tools) to deliver high-quality products rapidly.
- Ability to travel 10% on average.
- Limited immigration sponsorship may be available.
- Candidates must be located within a commutable distance to one of the select locations for this role.
- Ability to work in the local office at least 3 days per week.
Team and culture
Deloitte’s US Technology Product Engineering has modernized product delivery with a scalable, cost-effective model focused on value and outcomes, using a progressive and responsive talent structure. As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions across businesses, service lines, and internal operations, helping power Deloitte’s success with internal and go-to-market solutions delivered with excellence.
Location and compensation
Location: Hermitage, TN (onsite)
Salary range: USD 102,500 to USD 188,900 per year.
The wage range reflects a wide set of factors used to make compensation decisions. It is not typical for an individual to be hired at or near the top of the range; compensation depends on the facts and circumstances of each case.
