Senior AI Delivery Architect: Autonomous Agent Platform

KL Software Technologies Pvt. Ltd.

Newark (NJ)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Job summary

KL Software Technologies(“KLST”) is 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 Claude Code and/or OpenAI Codex, delivering software features, product workflows, and digital marketing campaigns across KLST products.

This role is not a chatbot or data-science position; you will industrialize software delivery using agentic tools,

Qualifications

Hands-on experience deploying and operating multiple autonomous AI agents in production.
At least 10 years of hands-on software engineering with a strong full-stack background on Azure or AWS.
Minimum 2 years building with LLMs and agentic AI tools (Claude Code and/or OpenAI Codex) and related APIs.
Experience with multi-agent orchestration frameworks and toolkits (e.g., gstack, ponytail, NVIDIA NeMo Agent Toolkit).
Ability to build autonomous coding agents that ingest work items from Azure DevOps and generate/validate code end-to-end.
Experience creating product management and digital marketing agents (backlog grooming, campaigns, reporting).
Proven governance for AI-generated code: review gates, metrics, traceability, security/IP safeguards.
Strong presentation and communication skills; ability to train senior engineers to adopt agent-manager model.

Responsibilities

Architect, deploy, and scale a multi-agent software delivery platform using Claude Code and agentic toolkits.
Design end-to-end agent workflows covering requirements, design, coding, QA, and release with human-in-the-loop gates.
Build coding agents that generate code, run tests, and commit validated code to the repository.
Create product management agents to groom backlog, draft requirements, prioritize work, and publish release notes.
Develop digital marketing agents to plan, generate, and optimize content and campaigns.
Define and enforce agent governance, including review gates, branch protections, and security controls.
Coach engineers to become agent managers, building playbooks, prompts, and guardrails.
Integrate agent fleet with Git/GitHub and CI/CD pipelines across repos.
Monitor and report productivity, code quality, and cost per feature; optimize tooling mix for cost/performance.
Stay current with agentic AI ecosystems and upgrade KLST’s Agentic Delivery Platform.