Agentic AI Lead - Delivery & Engineering
Not Disclosed•ContractorHybrid
location_on221, East 78th Street, Upper East Side, Manhattan Community Board 8, Manhattan, New York County, New York, 10075, United States
About the Role
This is not a slide-making or prompt-engineering role. We are looking for someone who has built multi-agent AI systems that run in production—not demos, not pilots that died after a sprint. You will anchor AI delivery programs end-to-end, working directly with global clients and staying sharp on a field that changes every few weeks.
You will report into and replicate the function of a senior AI delivery leader. This means you need both the depth to architect complex solutions and the presence to walk a CXO through what you built and why it works. Your mission is to translate business problems into robust agent architectures, leading discovery workshops, solution reviews, and delivery cadences with client teams.
In this position, you will run agentic coding workflows where AI writes significant portions of the codebase, guiding, reviewing, and shipping the results. You will debug non-deterministic agent outputs systematically rather than by gut feel, ensuring reliability in real-world enterprise environments.
Hiring Process
We value practical experience over theoretical knowledge. Our selection process focuses on verifying that you have actually shipped production-grade systems. Expect to discuss specific instances where you deployed stateful, multi-step agent systems with real users, integrated them with enterprise APIs, and resolved production failures without blaming the underlying models.
Culture & Values
We are a team that values substance over hype. We expect you to articulate when NOT to use agents, as that distinction is how we know you have built things that matter. We are committed to raising AI engineering quality across the delivery team, mentoring junior engineers, and staying current by evaluating new models and frameworks before the hype catches up.
Location & Work Model
This role is based in NYC, NY, with a requirement to be onsite 3 days per week. The position is structured as a Contract-to-Hire (C2H) engagement.
Work location
Work model: Hybrid
221, East 78th Street, Upper East Side, Manhattan Community Board 8, Manhattan, New York County, New York, 10075, United States
New York, New York
Key Responsibilities
- check_circleOwn end-to-end delivery of AI-native programs from architecture through production deployment
- check_circleDesign and build multi-agent orchestration systems using LangChain, LangGraph, or CrewAI
- check_circleIntegrate agent systems with enterprise surfaces including APIs, ERPs, CRMs, and data platforms
- check_circleDefine agent topology including tool routing, memory strategy, state machines, and fallback handling
- check_circleLead agentic coding workflows where AI writes significant portions of the codebase
- check_circleTranslate business problems into agent architectures for global CXO-level stakeholders
- check_circleRun discovery workshops, solution reviews, and delivery cadences with client teams
- check_circlePrepare and present technical proposals, POC plans, and roadmaps to clients
- check_circleMentor junior AI engineers and raise AI engineering quality across the delivery team
- check_circleEvaluate new models, frameworks, and tooling to contribute to internal knowledge bases
- check_circleGuide, review, and ship code generated by AI tools like Claude Code, Cursor, or OpenAI Codex
- check_circleSystematically debug non-deterministic agent outputs using structured evaluation methods
Requirements
- verifiedDeployed 2-3 agent-based systems in production
- verifiedUsed LangGraph for multi-agent orchestration
- verifiedBuilt projects where AI wrote significant portions of code
- verifiedImplemented RAG pipelines end-to-end
- verifiedIntegrated agents with real enterprise APIs
- verifiedDebugged production agent failures
- verifiedExperience with Claude Code CLI
- verifiedFamiliarity with LangSmith
- verifiedExperience with MCP or similar tooling
- verifiedBackground in IT services or consulting
Nice to Have
Experience with Claude Code CLI in team environments (CLAUDE.md, shared context, multi-session flows). Familiarity with LangSmith for agent tracing, evaluation pipelines, and debugging at scale. Has shipped something using MCP (Model Context Protocol) or similar shared-context tooling. QA/testing mindset for agents with systematic evaluation of non-deterministic outputs. Background in IT services or consulting for managing client expectations while building. Experience with SLMs, fine-tuning, or on-device/edge agent deployment.
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Frequently asked questions about Agentic AI Lead - Delivery & Engineering at Acunor
What does a Agentic AI Lead - Delivery & Engineering at Acunor do?expand_more
A Agentic AI Lead - Delivery & Engineering at Acunor is responsible for the following: Own end-to-end delivery of AI-native programs from architecture through production deployment; Design and build multi-agent orchestration systems using LangChain, LangGraph, or CrewAI; Integrate agent systems with enterprise surfaces including APIs, ERPs, CRMs, and data platforms; and Define agent topology including tool routing, memory strategy, state machines, and fallback handling.
What are the requirements for this Agentic AI Lead - Delivery & Engineering role?expand_more
To qualify for the Agentic AI Lead - Delivery & Engineering at Acunor position, applicants should have: Deployed 2-3 agent-based systems in production; Used LangGraph for multi-agent orchestration; Built projects where AI wrote significant portions of code; Implemented RAG pipelines end-to-end; Integrated agents with real enterprise APIs; and Debugged production agent failures.
Where is the Agentic AI Lead - Delivery & Engineering role at Acunor located?expand_more
Agentic AI Lead - Delivery & Engineering at Acunor is based in 221, East 78th Street, Upper East Side, Manhattan Community Board 8, Manhattan, New York County, New York, 10075, United States. This is a hybrid role.
Is this Agentic AI Lead - Delivery & Engineering job remote, hybrid, or on-site?expand_more
Acunor has listed this Agentic AI Lead - Delivery & Engineering role as hybrid.
How much experience is required for this Agentic AI Lead - Delivery & Engineering role?expand_more
Candidates for Agentic AI Lead - Delivery & Engineering at Acunor should have lead.
What skills do you need for the Agentic AI Lead - Delivery & Engineering role at Acunor?expand_more
Key skills for Agentic AI Lead - Delivery & Engineering at Acunor include Langchain; Langgraph; Crewai; Claude Code; Cursor; Openai Codex; Claude.md; and Rag.
What category does the Agentic AI Lead - Delivery & Engineering role belong to?expand_more
Agentic AI Lead - Delivery & Engineering at Acunor is part of the it job category on Recrutus.
About Acunor
Acunor operates as a specialized staffing and recruiting firm headquartered in Princeton, New Jersey, focusing exclusively on the technology sector. The organization connects businesses with high-caliber professionals capable of driving artificial intelligence initiatives. Acunor does not merely fill open positions but curates teams designed to solve complex challenges and accelerate digital transformation across various industries.
The firm maintains deep expertise in a wide range of technical domains, including Generative AI, AI Agents, Machine Learning, Data Science, AI Engineering, Salesforce, Java, and .NET. Their recruitment methodology utilizes an AI-powered engine to ensure precise matching between client needs and candidate capabilities. This approach allows them to source individuals who can build autonomous systems, develop Agentic AI solutions, and engineer cutting-edge tools that optimize workflows and enhance operational intelligence.
Acunor serves a diverse client base spanning finance, healthcare, retail, and manufacturing sectors. Whether an organization requires a single expert or a complete transformation team, the firm provides scalable staffing solutions tailored to specific business goals. By connecting companies with visionary thinkers and problem-solvers, Acunor supports the development of future-ready teams capable of redefining industry standards through advanced technology implementation.
Browse more roles: All Acunor jobs, it jobs on Recrutus.