AI Architect - Enterprise Java, GenAI & AI-Powered Engineering - 26-13312

Job Description

Job Description

AI Architect – Enterprise Java, GenAI & AI-Powered Engineering

Location: Plano, TX
Experience: 12–15 Years
AI/GenAI Experience: 2–3+ Years of Hands-On Experience
Work Model: Hybrid – 3 Days/Week Onsite
Employment Type: 12 Months

Role Overview

We are seeking a highly experienced AI Architect with strong expertise in Enterprise Java, Generative AI (GenAI), Agentic AI, and AI-powered software engineering .

The ideal candidate will combine deep expertise in Java enterprise architecture with hands-on experience in LLMs, RAG, AI Agents, and GenAI frameworks . The candidate should also have practical experience using AI-powered development tools such as Windsurf, Cursor, GitHub Copilot, Claude Code, OpenAI Codex, or equivalent agentic IDEs .

This role requires close collaboration with customers, business stakeholders, architects, and engineering teams to drive AI-led transformation initiatives. The candidate will participate in customer workshops, architecture discussions, solution design, PoCs, technical reviews, and team mentoring.

Key Responsibilities AI & GenAI Architecture

• 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.

Enterprise Java Architecture

• Provide technical leadership for Java, Spring Boot, REST APIs, Microservices, and event-driven architectures .
• Support modernization of legacy applications using cloud-native and AI-assisted approaches.
• Review code and establish architecture and engineering standards.
• Guide engineering teams on scalable and maintainable application design.

AI-Powered Engineering

• Demonstrate practical use of AI development tools, including:
  • Windsurf
  • Cursor
  • GitHub Copilot
  • Claude Code
  • OpenAI Codex
  • Equivalent AI-powered/Agentic IDEs
• Drive AI adoption across the SDLC, including requirements, development, testing, code review, documentation, and modernization.
• Measure and improve engineering productivity through AI-enabled development practices.

Customer Engagement

• Conduct customer workshops, discovery sessions, and architecture discussions.
• Translate business requirements into scalable AI and technology solutions.
• Support proposals, solutioning, estimations, and executive presentations.
• Work closely with customer teams, architects, business stakeholders, and delivery teams.

Innovation & Technical Leadership

• Mentor architects and engineering teams on Java, GenAI, and AI-assisted software development .
• Participate in hackathons and innovation initiatives.
• Develop reusable accelerators, frameworks, and AI assets.
• Drive adoption of emerging AI technologies and engineering practices.

Mandatory Skills Enterprise Java

• 12–15 years of experience in software engineering and architecture.
• Strong hands-on expertise in:
  • Java 11/17+
  • Spring Boot
  • REST APIs
  • Microservices
  • Distributed Systems
  • Event-Driven Architecture
  • SQL Databases

GenAI & Agentic AI

• 2–3+ years of hands-on experience with:
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Prompt Engineering
  • Embeddings and Vector Databases
  • AI Agents / Agentic AI
  • Function Calling

AI Frameworks

Hands-on experience with one or more of the following:

• LangChain
• LangGraph
• Semantic Kernel
• LlamaIndex
• CrewAI
• AutoGen

AI Development Tools

Hands-on experience with one or more of the following:

• Windsurf
• Cursor
• GitHub Copilot
• Claude Code
• OpenAI Codex
• Equivalent Agentic IDEs

Cloud & Platforms

• Azure, AWS, or GCP.
• Docker and Kubernetes.
• CI/CD and DevOps.
• AI Security and Responsible AI.
• LLMOps.
• AI Guardrails.
• AI/LLM Observability.

Preferred Candidate Profile

The ideal candidate may come from one of the following backgrounds:

• Senior Java Architect with strong GenAI experience.
• Principal Engineer with a Java and AI background.
• Enterprise Architect with hands-on coding expertise.
• AI Architect with strong enterprise application development experience.

Key Selection Criteria

The successful candidate should be:

• Strong in Enterprise Java Architecture .
• Hands-on with RAG, LLMs, and Agentic AI .
• Experienced in AI-assisted software engineering .
• Customer-facing and consultative.
• Innovation-driven and comfortable participating in hackathons.
• Comfortable working in a hybrid customer environment with 3 days per week onsite .
• Able to collaborate effectively with customer teams, architects, business stakeholders, and delivery teams.