Agentic AI Workflow Architect

Ultimate Knowledge Institute; Maryland; On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Base salary range: $150,000-$200,000

Job summary

Ultimate Knowledge Institute is seeking an AI Workflow Engineer to architect an agentic SDLC that guides planning, code generation, review, testing, documentation, and release within a GitOps-enabled pipeline. You’ll join a senior US-based engineering team to build grounded, context-aware AI systems with strong governance and measurable outcomes.

You’ll shape the developer experience by introducing AI tools and workflows that accelerate delivery while preserving engineering excellence and

Qualifications

• 2-3+ years of hands-on experience building with AI/LLM systems in production settings.
• 2+ years designing and operating agentic workflows and pipelines including multi-step agent orchestration, tool use, evaluation, and governance.
• Experience embedded in modern development teams practicing GitOps and CI/CD (required).
• Working knowledge of grounded AI patterns: RAG, context engineering, structured outputs, and evaluation/observability for LLM systems.
• Solid software engineering fundamentals in JavaScript/TypeScript and/or Python; comfort working in and around our stack (Angular/React frontends on Express web applications).
• Genuine alignment with continuous delivery culture the Allspaw/Hammond, Phoenix Project (Kim) school of small batches, fast feedback, blameless learning, and operational excellence.

Responsibilities

• Build our agentic SDLC pipeline. Design, implement, and operate agentic workflows across the development lifecycle - planning, code generation, review, testing, documentation, and release that is all integrated with our GitOps and CI/CD infrastructure
• Level up developer experience. Bring modern AI integrations into the daily workflow of our engineering team: coding agents, automated review, intelligent test generation, and self-service tooling that removes friction and multiplies output
• Engineer grounded, trustworthy systems. Build retrieval-grounded and context-aware AI systems that produce reliable, verifiable results and design the evaluation harnesses that prove it
• Establish governance and guardrails. Define and implement the policies, human-in-the-loop checkpoints, audit trails, and security controls that let us adopt agentic AI responsibly in environments where trust is non-negotiable
• Formalize and scale. Turn what works into repeatable frameworks, playbooks, and internal platforms that extend agentic acceleration beyond engineering to the whole organization
• Champion the practice. Evangelize, teach, and support AI adoption across the team; you'll be a force multiplier, not a silo

Skills

AI/LLM systems

Agentic workflows

GitOps

CI/CD

JavaScript/TypeScript

Python

Strong communication

Tools

LangGraph/LangMem

Claude Agent SDK

MCP

OpenAI Agents

Claude Code

Copilot

Cursor

Job description

Ultimate Knowledge Institute is seeking an AI Workflow Engineer to architect an agentic SDLC that guides planning, code generation, review, testing, documentation, and release within a GitOps-enabled pipeline. You’ll join a senior US-based engineering team to build grounded, context-aware AI systems with strong governance and measurable outcomes.

You’ll shape the developer experience by introducing AI tools and workflows that accelerate delivery while preserving engineering excellence and