Applied AI Engineer II

Deloitte is hiring an Applied AI Engineer II in Hermitage, TN (onsite) to build and improve high-visibility, full-stack product capabilities by embedding GenAI and agentic functionality across the end-to-end delivery lifecycle. The role emphasizes outcome-focused engineering, technical leadership, and cloud cost-aware AI and agentic development.

Role Responsibilities

• Drive accountability for customer and business outcomes, including the cost required to achieve those outcomes.
• Design and implement solutions to complex problems with measurable value, using lean engineering practices while owning inference, token, and cloud cost for what you build.
• Act as a technical advocate for products by ensuring code integrity, feasibility, and alignment with business and customer objectives.
• Participate across the delivery lifecycle including requirement analysis, component design, development, testing, integrations, and support.
• Maintain responsibility for code design integrity and implementation fidelity to architecture and the defined tech stack, covering quality, data, and ongoing maintenance and operations.
• Build hands-on, self-driven capabilities and continuously learn new approaches, languages, and frameworks.
• Produce technical specifications and write high-quality, supportable, scalable code while meeting or exceeding defined quality KPIs.
• Collaborate effectively with diverse teams and integrate perspectives to support decisions that balance feasibility, viability, usability, and value.
• Develop lean solutions through rapid, inexpensive experimentation to address customer needs.
• Coordinate with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time.
• Adopt an action-and-evidence mindset to move forward through complexity and uncertainty.
• Work with empowered, cross-functional teams including product management, experience, and delivery.
• Support continuous improvement and learning across the full lifecycle product development process.
• Translate business and user needs, architectures, and UX/UI designs into technical specifications and code.
• Communicate complex technical concepts clearly and influence teams using structured arguments and trade-offs supported by evidence.
• Build and maintain constructive relationships focused on co-creation and shared momentum toward product goals.
• Contribute to daily deployments using full automation from discovery through production to operations, with quality checks across SSDLC lifecycle using AI and Agentic SSDLC practices.

Required Qualifications

• 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: Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, and unit testing frameworks.
• 2+ years of experience 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 of experience with cloud-native engineering using FaaS, PaaS, or micro-services on Azure, AWS, or GCP, including AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI. Includes application-level infrastructure-as-code and cost-aware engineering with FinOps accountability.
• Software engineering experience with Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentation, including 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.
• Must be located within a commutable distance to one of the select locations for this role.
• Ability to work in the local office at a minimum of 3 days per week.
• Ability to travel 10% on average based on work and products built.
• Limited immigration sponsorship may be available.

Technologies

Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, unit testing frameworks, OpenAI, Anthropic, RAG pipelines, prompt engineering, vector databases, AI agent orchestration, FaaS, PaaS, micro-services, Azure, AWS, GCP, Azure OpenAI, AWS Bedrock, Vertex AI, infrastructure-as-code, FinOps, Business Context Diagrams (BCD), OOP/OOD, XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, MLflow, LangFuse, LangSmith, agentic AI frameworks, Agentic SSDLC, SSDC lifecycle.

Compensation

Estimated wage range: USD 88,600 to 181,900 per year.

Location

Hermitage, TN (onsite)