Calling all STRONG “AI Architects”!

KL Software Technologies (“KLST”) iis hiring a hands-on AI Architect to lead our transformation into an agentic-AI-first product engineering organization. You will design, deploy, and operate multiple fleets of autonomous AI agents, powered by Anthropic Claude (Claude Code) and/or OpenAI Codex, that build, test, and ship software features, run product management workflows, and execute digital marketing campaigns across our flagship KLST products (learn more here www.klstinc.com/whyklstforlegal).

This is NOT a chatbot or data-science role. You will industrialize software delivery using agentic AI developer tools – Claude Code, AI code review and optimization tools (e.g., ponytail), multi-agent product build orchestrators (e.g., gstack, which spins up CEO / PM / BA / QA / Dev agents that work together to deliver a complete product), and free / lower-cost open-source options such as NVIDIA’s agentic AI toolkits (NeMo Agent Toolkit and NIM microservices).

The Mission

Stand up and operate AT LEAST FIFTY (50) 24/7 autonomous coding and QA agents delivering product features across KLST products by the end of the year – organized so that each Senior Engineer owns and manages 5–10 agents, reviews every agent’s output, and validates results BEFORE any code is allowed to be committed. In parallel, stand up autonomous product management and digital marketing agents that plan, prioritize, and promote the same product roadmap.

Key Responsibilities:

1. Architect, deploy, and scale a multi-agent software delivery platform using Claude Code, agentic code review/optimization tools (ponytail or similar), product build orchestrators (gstack or similar), and NVIDIA’s open-source agentic toolkits – selecting the right mix of commercial and free/open-source tooling to control cost.
2. Design end-to-end agent workflows covering the full SDLC – requirements, design, coding, code review, QA automation, and release – with human-in-the-loop approval gates at every commit.
3. Build coding agents that autonomously pull work items/tickets from Azure DevOps Boards, generate implementation code with Claude Code and/or OpenAI Codex to meet each ticket’s requirements, self-QA the code against positive and negative test cases, and check the validated code into the repository.
4. Build product management agents that autonomously groom the backlog, draft and refine requirements and user stories, prioritize work, and generate release notes and status reporting.
5. Build digital marketing agents that autonomously plan, generate, and optimize marketing content and campaigns – SEO, email, social, and web – tied to product launches and releases.
6. Define and enforce the agent governance model: mandatory Senior Engineer review and validation of agent output before commits, branch protection, audit trails, rollback, and security / IP safeguards for AI-generated code.
7. Enable and coach Senior Engineers to become “agent managers”, each owning and supervising 5–10 agents; build the playbooks, prompt libraries, guardrails, and evaluation metrics they use to review and validate agent output.
8. Integrate the agent fleet with our Git / CI-CD pipelines (Azure DevOps / GitHub) so agents work 24/7 within guardrails across netDocShare, imDocShare, and KLapper repositories.
9. Continuously measure and report agent fleet productivity, code quality, defect escape rates, and cost per feature; optimize model/toolkit selection (Claude vs. open source / NVIDIA) for cost and performance.
10. Stay current with the agentic AI ecosystem (Model Context Protocol, multi-agent orchestration, agent evaluation frameworks) and continuously upgrade KLST’s Agentic Delivery Platform.

Key Qualifications:

Required Skills

• Very strong, demonstrable background setting up and operating MULTIPLE autonomous AI agents in production – designing agent architectures, orchestrating agent-to-agent collaboration, and running fleets of agents 24/7 with reliability and guardrails.
• Overall, at least TEN (10) years “hands-on” software engineering experience with a strong full-stack background (.NET / TypeScript / React or Angular / REST APIs / SQL) on Azure or AWS.
• Minimum TWO (2) years of hands-on experience building with LLMs and agentic AI developer tools – Claude Code and/or OpenAI Codex (or GitHub Copilot / Cursor / Windsurf), prompt engineering, and LLM APIs (Anthropic, OpenAI, Google, or open-weight models).
• Hands-on experience with multi-agent orchestration frameworks and toolkits – e.g., gstack, ponytail, NVIDIA NeMo Agent Toolkit, LangGraph, AutoGen, or CrewAI – including agent-to-agent workflows (PM / BA / Dev / QA agent roles).
• Hands-on experience building autonomous coding agents that ingest tickets / work items from Azure DevOps, generate code with Claude Code and/or OpenAI Codex to meet the requirements, validate it against positive and negative test cases, and commit the code – end-to-end with minimal human intervention.
• Experience building autonomous agents beyond software delivery – product management agents (backlog grooming, requirements / user-story generation, prioritization, reporting) and digital marketing agents (content generation, campaign planning, SEO / email / social execution).
• Strong experience with automated code review and QA automation – unit / integration / end-to-end testing (Playwright, Selenium, or similar) and using AI agents to author and execute test suites – including both positive and negative test cases – before code is committed.
• Strong DevOps skills: Git branching and PR workflows, CI/CD (Azure DevOps or GitHub Actions), containerization, and secrets/access management for autonomous agents.
• Proven ability to define engineering governance for AI-generated code: review gates, quality metrics, traceability, and compliance controls.
• Strong presentation and communication skills (both written and verbal) are required; able to train and influence senior engineers to adopt the agent-manager operating model.

Preferred Skills

• Experience with Model Context Protocol (MCP) servers, RAG pipelines, and agent evaluation / benchmarking frameworks.
• Experience building product management agents with tools such as Azure DevOps Boards, Jira, or Aha! automating backlog grooming, roadmap updates, and stakeholder reporting.
• Experience building digital marketing agents across SEO, content / CMS, email automation, and social platforms – connecting marketing workflows to product launches and releases.
• Knowledge of the Microsoft 365 / SharePoint ecosystem and legal document management platforms (iManage, NetDocuments), the domain of netDocShare and imDocShare.
• Experience optimizing LLM spend, prompt caching, model routing, and running open-weight models on NVIDIA GPUs as a lower-cost alternative to commercial APIs.
• Microsoft Azure, AWS, or NVIDIA certifications.
• Willing to travel nationally or internationally on temporary and permanent assignments (United States, Australia, India).