Lead AI Platform Architect & Full-Stack Engineer

HRB; Indianapolis (IN); On-site; USD 180,000 - 240,000; Full time

Job summary

HRB is seeking a Lead AI Full-Stack Engineer to define the technical vision and execution strategy for an AI-native platform. You will lead a cross-functional team while remaining hands-on in code, owning end-to-end direction across Java microservices, Python services, and enterprise React frontends.

You will architect AI systems, implement RAG pipelines, and drive best practices for prompt engineering, latency, cost governance, and security on Azure.

Qualifications

• 7+ years in full-stack engineering with leadership experience.

Responsibilities

• Technical Leadership & Strategy: Establish end-to-end AI application architecture and set engineering standards.
• Team Mentorship & Delivery: Guide cross-functional engineers, conduct code reviews, map product roadmaps to tech deliverables.
• AI & RAG System Architecture: Design resilient RAG pipelines and multi-agent workflows.
• Full-Stack & Microservices Design: Oversee Java Spring Boot and Python FastAPI/Django microservices with React frontends.
• Enterprise Azure Infrastructure: Own cloud architecture on Azure, including OpenAI services and AKS.
• AI Governance & Reliability: Implement guardrails, safety checks, monitoring, and metrics.

Skills

Leadership

Full-stack engineering

AI-native applications

React/TypeScript

Java/Spring Boot

Python (FastAPI/Django)

Azure cloud

RAG orchestration

LLM governance

Tools

LangChain

LlamaIndex

AutoGen

Azure OpenAI

Azure AI Search

AKS

Docker

Kubernetes

Terraform

Bicep

Pinecone

Qdrant

pgvector

Job description

HRB is seeking a Lead AI Full-Stack Engineer to define the technical vision and execution strategy for an AI-native platform. You will lead a cross-functional team while remaining hands-on in code, owning end-to-end direction across Java microservices, Python services, and enterprise React frontends.

You will architect AI systems, implement RAG pipelines, and drive best practices for prompt engineering, latency, cost governance, and security on Azure.