Lead Applied AI Engineer I

Deloitte’s Product Engineering team seeks a hands-on Lead Applied AI Engineer I to build and enhance high-visibility full-stack products, incorporating generative AI and agentic capabilities from concept through production. The team develops internal and go-to-market digital solutions for Deloitte’s businesses, service lines and operations.

Responsibilities

• Lead requirements analysis, component architecture, development, testing, integration, deployment, support and ongoing maintenance. Translate business needs and UX/UI designs into technical specifications and scalable, supportable code.
• Own product architecture, code quality, dependencies and alignment with enterprise standards. Review code, mentor engineers, establish engineering practices and address technical debt.
• Use rapid, inexpensive experimentation and customer feedback to deliver measurable outcomes while managing inference, token and cloud costs. Collaborate with product management, experience and delivery teams to balance feasibility, usability and value.
• Apply AI-augmented and agentic software development practices, automation and lifecycle quality checks to support frequent product deployments. Communicate technical trade-offs and build consensus across teams and customers.

Required qualifications

• Bachelor’s degree in computer science, software engineering, data science, machine learning or a related discipline; the posting emphasizes experience as the most relevant factor.
• 10+ years of full-stack software engineering experience with most of Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, and unit and integration testing frameworks.
• 3+ years building AI/ML and agentic applications, including hands-on GenAI experience with LLM integration, RAG pipelines, prompt engineering, vector databases, evaluations and agent orchestration.
• 3+ years of cloud-native engineering using FaaS, PaaS or microservices on Azure, AWS or GCP, including AI/ML services, application-level infrastructure as code and cost-aware engineering.
• 1+ years establishing engineering standards and leading and mentoring their adoption. Understanding of software design diagrams, OOP/OOD, data structures, algorithms, code instrumentation and AI-augmented specification-driven development; prior experience with XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, MLflow and agentic AI frameworks. Strong communication, interpersonal and organizational skills are expected.

Other: Based in Hyderabad, Telangana, India. Ability to travel approximately 10% is required. Limited immigration sponsorship may be available.