Lead AI Solutions Architect - Agentic SDLC Leader

NATIONMIND LLC

Woodbridge Township (NJ)

On-site

USD 180,000 - 240,000

Full time

14 days+
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Job summary

NationMind LLC is seeking a seasoned Lead AI Solutions Architect to spearhead the Agentic Software Development Lifecycle in a large enterprise setting. You will define and deliver an AI-powered framework that guides software delivery from requirements to deployment using AI agents, while leading an engineering team.

You will establish enterprise architecture, governance, security, and best practices for AI-driven engineering, mentor engineers, and evaluate modern LLMs and AI frameworks to

Qualifications

  • 7–10+ years of enterprise software engineering experience.
  • Experience as Technical Lead, Solution Architect, or Enterprise Architect.
  • Hands-on experience designing and implementing an Agentic SDLC or AI-driven software development lifecycle.
  • Proven experience with Generative AI, AI Agents, LLMs, and agent orchestration frameworks.
  • Strong understanding of enterprise software architecture, cloud platforms, APIs, DevOps, and CI/CD.

Responsibilities

  • Lead the architecture and implementation of an Agentic SDLC across the software development lifecycle.
  • Design and orchestrate AI agents for requirements analysis, solution design, code generation, testing, documentation, CI/CD, deployment, and operations.
  • Define enterprise architecture, governance, security, and best practices for AI-driven software engineering.
  • Lead and mentor engineering teams in adopting agentic development methodologies.
  • Evaluate and integrate modern LLMs, AI agent frameworks, and AI-assisted engineering tools.
  • Collaborate with business and technology stakeholders to accelerate product delivery through AI.

Skills

Lead architect experience
Solution architecture
Agentic SDLC design
Generative AI/LLMs
Cloud/DevOps/CI-CD

Job description

NationMind LLC is seeking a seasoned Lead AI Solutions Architect to spearhead the Agentic Software Development Lifecycle in a large enterprise setting. You will define and deliver an AI-powered framework that guides software delivery from requirements to deployment using AI agents, while leading an engineering team.

You will establish enterprise architecture, governance, security, and best practices for AI-driven engineering, mentor engineers, and evaluate modern LLMs and AI frameworks to

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