Enterprise AI Agent Architect (LLM & RAG)

LTM; Irving (TX); On-site; USD 120,000 - 210,000; Full time

Benefits offered by this job

Medical Plan

Disability Coverage

401(k) Matching

Life Insurance

Paid Holidays

Parental Leave

Job summary

LTIMindtree is seeking an LLM Engineer to design, build, and optimize enterprise-grade AI agents powering Store Assistant and Equipment Maintenance solutions. The role emphasizes LLM integration, prompt engineering, agent orchestration, RAG pipelines, memory management, tool calling, and AI governance to ensure reliable, scalable Agentic AI capabilities.

You will collaborate with product managers, data engineers, business SMEs, and AI architects to continuously improve agent effectiveness and

Responsibilities

• Design and develop Agentic AI solutions with orchestrator agents and multiagent workflows.
• Build and optimize Retrieval Augmented Generation (RAG) pipelines with vector stores.
• Develop prompts, reasoning frameworks, guardrails, and agent instructions.
• Integrate AI agents with Oracle ERP, ServiceNow, MCP servers, APIs, and enterprise tools.
• Establish observability, tracing, eval frameworks, and mitigation of hallucinations.
• Collaborate with Product Managers, Data Engineers, SMEs, and AI Architects to improve outcomes.

Skills

LLM integration

Prompt engineering

RAG pipelines

Agent orchestration

AI governance

Job description

LTIMindtree is seeking an LLM Engineer to design, build, and optimize enterprise-grade AI agents powering Store Assistant and Equipment Maintenance solutions. The role emphasizes LLM integration, prompt engineering, agent orchestration, RAG pipelines, memory management, tool calling, and AI governance to ensure reliable, scalable Agentic AI capabilities.

You will collaborate with product managers, data engineers, business SMEs, and AI architects to continuously improve agent effectiveness and