Senior Applied AI Engineer — Full-Stack & GenAI Delivery

DataJobs; Nashville (TN); On-site; USD 150,000 - 190,000; Full time

Job summary

Deloitte seeks a senior software engineer to lead applied AI and agentic engineering for high-visibility, full-stack products from concept to production. You will own architecture, maintain cost discipline, mentor teammates, and collaborate across product, UX, and delivery teams to ship outcomes.

The role emphasizes hands-on coding, modern software practices, and continual learning in AI/SSDL lifecycle. On-site collaboration is expected in Nashville.

Qualifications

• Bachelor's degree in CS, software engineering, data science or related field.
• 6+ years of full-stack software engineering experience with listed technologies.
• 3+ years building AI/ML and agentic applications with GenAI, RAG, vector databases, and AI orchestration.
• 3+ years cloud-native engineering with Azure/AWS/GCP and cost-aware practices (FinOps).
• 1+ years establishing engineering standards and leading adoption.
• Experience with design diagrams and AI-augmented development.

Responsibilities

• Lead end-to-end engineering from concept to production.
• Own inference, token, and cloud cost for developed solutions.
• Mentor engineers and ensure code quality and KPI targets.
• Collaborate across product management, UX, and delivery teams.
• Create scalable, testable, compliant architecture and components.
• Drive lean, fast experimentation to validate customer value.

Skills

JavaScript/TypeScript

Angular

React

NodeJS

Python

SQL/NoSQL

REST/API

ServiceNow

LangChain

LangGraph

AI/GenAI

Unit/Integration Testing

Education

Bachelor's degree

Tools

ServiceNow NowAssist

Infra-as-code

FinOps

GitHub

SonarQube

MLflow

ATF

Job description

Deloitte seeks a senior software engineer to lead applied AI and agentic engineering for high-visibility, full-stack products from concept to production. You will own architecture, maintain cost discipline, mentor teammates, and collaborate across product, UX, and delivery teams to ship outcomes.

The role emphasizes hands-on coding, modern software practices, and continual learning in AI/SSDL lifecycle. On-site collaboration is expected in Nashville.