Onsite AI Architect – Enterprise Java & GenAI Leader

Happiest Minds Technologies

Plano (TX)

On-site

USD 150,000 - 210,000

Full time

14 hours ago
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Job summary

Happiest Minds Technologies in Plano, TX seeks an AI Architect with strong Enterprise Java, GenAI, and AI-powered engineering expertise. This onsite, hands-on role collaborates with customers and delivery teams to drive AI-led transformation across large-scale enterprise applications.

You will lead architecture design, PoCs, and solutioning, evaluating LLMs and AI frameworks, and mentor teams while integrating AI into Java ecosystems using tools like Windsurf, Cursor, and GitHub Copilot.

Qualifications

  • 12–15 years of software engineering and architecture experience.
  • Hands-on expertise in Java 11/17+, Spring Boot, REST APIs, Microservices, and distributed systems.
  • 2–3+ years of GenAI, LLMs, AI agents, prompt engineering, embeddings, and vector databases.
  • Experience evaluating LLMs, AI frameworks, and cloud AI services; integration into enterprise apps.
  • Customer-facing and able to mentor engineering teams onsite.

Responsibilities

  • Design and implement enterprise-scale GenAI, RAG, and Agentic AI solutions.
  • Lead engagements from discovery and architecture through PoC, MVP, and production rollout.
  • Evaluate LLMs, AI frameworks, vector databases, and cloud AI services.
  • Integrate AI capabilities into enterprise applications and business processes.
  • Mentor architects and engineers on Java and GenAI adoption.

Skills

Enterprise Java
GenAI
Agentic AI
AI-powered Eng
LLMs
RAG
AI Frameworks
Java EA

Tools

Windsurf
Cursor
GitHub Copilot
Claude Code
OpenAI Codex
Agentic IDEs

Job description

Happiest Minds Technologies in Plano, TX seeks an AI Architect with strong Enterprise Java, GenAI, and AI-powered engineering expertise. This onsite, hands-on role collaborates with customers and delivery teams to drive AI-led transformation across large-scale enterprise applications.

You will lead architecture design, PoCs, and solutioning, evaluating LLMs and AI frameworks, and mentor teams while integrating AI into Java ecosystems using tools like Windsurf, Cursor, and GitHub Copilot.

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