Lead AI Solutions Architect

NATIONMIND LLC; Woodbridge Township (NJ); On-site; USD 180,000 - 240,000; Full time

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

About NationMind LLC:

NationMind LLC is a technology consulting firm focused on software development and QA testing services. We help clients build reliable, scalable applications with a strong emphasis on automation, performance, and quality. Our team works across industries, delivering solutions that drive innovation and operational efficiency. We are currently hiring skilled professionals for Lead AI Solutions Architect to join our growing team.

Lead AI Solutions Architect – Agentic SDLC

Location: New Jersey (Onsite)

Full Time

Role Summary:

We are looking for an experienced Lead AI Solutions Architect to lead the implementation of an Agentic Software Development Lifecycle (Agentic SDLC) within a large enterprise environment. This individual will define and deliver an AI-powered engineering framework that transforms software delivery from requirements to deployment using AI agents. The role involves leading an existing engineering team while driving the enterprise-wide transition to AI-native software development.

Key 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.

Mandatory Qualifications

• 7–10+ years of enterprise software engineering experience.
• Experience as a Technical Lead, Solution Architect, or Enterprise Architect.
• Hands-on experience designing and implementing an Agentic SDLC or AI-driven Software Development Lifecycle is mandatory.
• 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.
• Demonstrated experience leading engineering teams and driving enterprise technology transformation.