NEWPosted 4 hours ago

Job ID: JOB_ID_9012

Job Title: Gen AI Leads/Architect

Location: NYC, NY (Remote)

Employment Type: Contract

About the Role:

We are seeking a highly experienced Gen AI Leads/Architect to drive the end-to-end delivery of AI-native programs. This role requires a deep understanding of AI architecture, agent systems, and the ability to translate complex business problems into robust technical solutions. You will lead projects where AI plays a significant role in code generation and system development, working closely with global CXO-level stakeholders.

Key Responsibilities:

  • Delivery & Architecture: Own the complete lifecycle from architecture to production deployment for AI-native programs. Design and build multi-agent orchestration systems using frameworks like LangChain, LangGraph, or CrewAI. Integrate these agent systems with enterprise platforms such as APIs, ERPs, and CRMs. Define agent topology, including tool routing, memory strategies, and state machines.
  • Agentic Coding & Development: Utilize agentic coding workflows with tools like Claude Code, Cursor, or OpenAI Codex. Lead projects where AI contributes significantly to the codebase, guiding, reviewing, and shipping the final product. Work with shared context frameworks and multi-session agent setups for team collaboration. Systematically debug non-deterministic agent outputs.
  • Client & Stakeholder Engagement: Translate business challenges into effective agent architectures for global CXO-level stakeholders. Conduct discovery workshops, solution reviews, and manage delivery cadences with client teams. Prepare and present technical proposals, Proof of Concept (POC) plans, and roadmaps.
  • Team & Practice Development: Mentor junior AI engineers and elevate the overall AI engineering quality within the delivery team. Stay current with the latest advancements in AI models, frameworks, and tooling. Contribute to internal knowledge bases, reusable frameworks, and accelerators.

Required Skills and Experience:

  • Agent Orchestration: Proven experience with LangChain, LangGraph, or CrewAI (beyond conceptual understanding).
  • Agentic Coding Tools: Hands-on experience with Claude Code CLI, Cursor, OpenAI Codex, or similar tools.
  • RAG & Vector Stores: Experience with RAG pipelines and vector stores like Chroma, Weaviate, or Pinecone, including understanding where RAG can falter.
  • LLM APIs & SDKs: Proficiency with Anthropic, OpenAI, or Gemini APIs/SDKs, including prompt design and tool use.
  • Programming Languages: Strong command of Python and/or TypeScript for agent and backend development.
  • Observability: Experience with LangSmith or similar tools for tracing, evaluation, and debugging agent runs.
  • Cloud Platforms: Experience with at least one major cloud platform (Azure, AWS, GCP) for deployment and managed services.
  • API & System Integration: Familiarity with enterprise integration patterns using REST, gRPC, or Kafka.
  • CI/CD & DevOps: Experience with Git, containers, and CI/CD pipelines for deploying AI agents.
  • Client Communication: Ability to articulate technical architectures to CXO-level executives clearly and concisely.

Demonstrated Experience (What You Must Have Actually Done):

  • Deployed at least 2-3 agent-based systems in production with stateful, multi-step processes and real users.
  • Utilized LangGraph for multi-agent orchestration, including memory management and tool routing.
  • Built projects where AI tools (e.g., Claude Code, Codex) generated significant portions of the codebase.
  • Implemented end-to-end RAG pipelines, covering chunking, embedding, retrieval, re-ranking, and evaluation.
  • Integrated agents with real enterprise APIs, not just playground environments or sample data.
  • Successfully debugged and resolved production agent failures without attributing issues solely to the underlying models.
  • Can articulate scenarios where agents are not the appropriate solution.

Bonus Differentiators:

  • Experience with Claude Code CLI in team environments (e.g., CLAUDE.md, shared context, multi-session flows).
  • Familiarity with LangSmith for large-scale agent tracing, evaluation pipelines, and debugging.
  • Shipped projects using MCP (Model Context Protocol) or similar shared-context tooling.
  • A strong QA/testing mindset for agents, focusing on systematic evaluation of non-deterministic outputs.
  • Background in IT services or consulting, with experience managing client expectations during development.
  • Experience with SLMs, fine-tuning, or on-device/edge agent deployment.

What We Are Not Looking For:

  • Individuals who list LLMs on their resume but have only used APIs in a Jupyter notebook.
  • AI enthusiasts with less than a year of hands-on, production-level experience.
  • Consultants who can only describe what others have built without practical application.

Special Requirements

Remote, Contract

Compensation & Location

Salary: $140,000 – $180,000 per year

Location: NYC, NY

Recruiter / Company – Contact Information

Email: hav.singh@digitaldhara.com

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