Solution Lead – Enterprise Java, GenAI & AI-Powered

Plano, TX, US • Posted 3 hours ago • Updated 3 hours ago
Contract W2
Contract Corp To Corp
12 Months
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Java
  • AI
  • GenAI
  • Agentic AI
  • Springboot
  • LangChain

Summary

Job Title: Solution Lead – Enterprise Java, GenAI & AI-Powered

Location: Plano, TX (Hybrid – 3 days onsite per week)

Job Type: Contract (12 Months)

Experience: 12–15 years overall; 2–3+ years hands-on AI/GenAI

 

Job Overview

Key Responsibilities

  • Design and implement enterprise-scale GenAI, RAG, and Agentic AI solutions from discovery through production rollout
  • Provide technical leadership across Java, Spring Boot, REST APIs, Microservices, and event-driven architectures
  • Demonstrate and drive adoption of AI-powered engineering tools (Windsurf, Cursor, GitHub Copilot, Claude Code) across the SDLC
  • Conduct onsite customer workshops, architecture discussions, and PoCs
  • Mentor architects and engineering teams on Java, GenAI, and AI-assisted development
  • Support modernization of legacy applications using cloud-native and AI-assisted approaches
  • Build reusable accelerators, frameworks, and AI assets

 

Required Skills

  • Enterprise Java: Java 11/17+, Spring Boot, REST APIs, Microservices, Distributed Systems, Event-Driven Architecture, SQL Databases
  • GenAI & Agentic AI: LLMs, RAG, Prompt Engineering, Embeddings, Vector Databases, AI Agents, Function Calling
  • AI Frameworks: LangChain, LangGraph, Semantic Kernel, LlamaIndex, CrewAI, AutoGen
  • AI Dev Tools: Windsurf, Cursor, GitHub Copilot, Claude Code, OpenAI Codex
  • Cloud & Platforms: Azure, AWS, Google Cloud Platform, Docker, Kubernetes, CI/CD, DevOps

 

Preferred Skills

  • Background as Senior Java Architect, Principal Engineer, or Enterprise Architect with AI experience
  • LLMOps, AI Security, Responsible AI, Guardrails, and Observability
  • Customer-facing, consultative, and innovation-driven mindset

 

Location & Work Model

Plano, TX — Hybrid (3 days onsite per week). Regular onsite interaction with customer teams is required.

 

Engagement Details

12-month contract engagement. Strong ownership, accountability, and ability to work directly with business and technical stakeholders is essential.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10113809
  • Position Id: 113811-1090-1792099932
  • Posted 3 hours ago
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