Ai Development Lead

Join to apply for the AI DEVELOPMENT LEAD role at C1M

Reports to:

Chief of Staff

Location:

Remote (U.S. time zones preferred) | Occasional onsite as needed

Company: C1M.ai ((Use the "Apply for this Job" box below).)

C1M.ai is seeking an AI Development Lead who blends delivery leadership, technical depth, and change management to accelerate how we build with AI. This leader is a proven project manager who can translate business needs into technical execution plans, manage multiple work streams, and ensure high-quality outcomes across integrations, automations, data flows, and AI features.

In addition to leading delivery, you will drive a developer transformation program—standardizing how our teams use AI development tools (coding copilots, agentic workflows, automated testing/documentation, etc.) to improve speed, quality, and consistency. You’ll also help develop internal AI capabilities, including training and fine‑tuning models on C1M.ai-approved patterns, templates, and reusable components.

• Delivery Leadership & Project Management
  • Own end-to-end delivery for AI and automation initiatives; ensure consistent execution standards.
  • Build and manage project plans, timelines, milestones, dependencies, and resourcing across concurrent initiatives.
  • Run agile ceremonies (backlog grooming, sprint planning, daily standups, retros) and maintain delivery metrics.
  • Identify risks early, remove blockers, and communicate status clearly to stakeholders (including the Chief of Staff).
  • Ensure requirements are captured, scoped, estimated, and delivered with high quality and minimal rework.
• Technical Oversight (Hands‑On Leadership)
  • Provide Technical Direction Across Automation & integration: n8n, Zapier (webhooks, triggers/actions, API integrations)
  • Custom development:
    Python services, API development, data processing, and AI orchestration
  • Cloud: AWS and Microsoft/Azure where applicable; secure deployment patterns and operational readiness
  • Microsoft AI ecosystem:
    Azure AI services, OpenAI integrations, Microsoft 365/Copilot‑related development patterns
  • Review and improve architecture decisions for reliability, maintainability, and scalability.
  • Establish “definition of done,” delivery standards, and integration patterns that are consistently applied.
• Developer Transformation Using AI Tools
  • Lead adoption of AI‑enabled development practices across the organization (copilots, code review assistants, test generation, documentation automation, agentic workflows).
  • Create a training and enablement program: onboarding, playbooks, office hours, internal demos, and certification of best practices.
  • Define and track measurable outcomes (cycle time, defects, rework, throughput, delivery predictability).
  • Implement guardrails for secure and responsible use of AI tools (IP protection, client confidentiality, data handling, prompt hygiene).
• Internal AI Patterns & Model Enablement
  • Curate and standardize C1M.ai design patterns: integration templates, orchestration patterns, error handling, retries, logging/monitoring, security defaults, and documentation conventions.
  • Build and maintain a pattern library (docs + code/flow templates) that accelerates repeatable delivery.
  • Support internal model development efforts, including training and fine‑tuning models on approved design patterns, templates, and internal standards—ensuring compliance with privacy, security, and licensing requirements.