US-Remote Agentic AI Workflow Architect

Ultimate Knowledge Institute

Town of Florida (NY)

On-site

USD 150,000 - 200,000

Full time

14 days+
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Benefits offered by this job

Remote work
Benefits package

Job summary

Ultimate Knowledge Institute in the United States (US-remote) is seeking AI Workflow Engineers to architect our agentic SDLC from the ground up: formalized pipelines where AI agents plan, build, test, review, and ship alongside a core team of senior US-based engineers. You will design and operate agentic workflows integrated with GitOps/CI/CD, focusing on grounding, governance, and scalable platforms.

2–3+ years building with AI/LLM systems in production, strong knowledge of agentic pipelines,

Qualifications

  • 2–3+ years building with AI/LLM systems in production.

Responsibilities

  • Build agentic SDLC pipeline across planning, code generation, review, testing, documentation, and release.
  • Level up developer experience with AI integrations and self-service tooling.
  • Engineer grounded, trustworthy systems with retrieval-grounded AI and evaluation harnesses.
  • Establish governance, guardrails, and security controls for responsible AI adoption.
  • Formalize repeatable frameworks, playbooks, and internal platforms for agentic acceleration.
  • Champion AI adoption across the team and act as a force multiplier.

Skills

AI/LLM systems
Agentic workflows
GitOps
CI/CD
JavaScript/TypeScript
Python
Communication
Self-starter
Executive storytelling
US work authorization

Tools

LangGraph/LangMem
Claude Agent SDK
MCP
OpenAI Agents
Copilot

Job description

Ultimate Knowledge Institute in the United States (US-remote) is seeking AI Workflow Engineers to architect our agentic SDLC from the ground up: formalized pipelines where AI agents plan, build, test, review, and ship alongside a core team of senior US-based engineers. You will design and operate agentic workflows integrated with GitOps/CI/CD, focusing on grounding, governance, and scalable platforms.

2–3+ years building with AI/LLM systems in production, strong knowledge of agentic pipelines,

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