We’re building something real in AI — and we need someone to lead it from the inside. As AI Solutions Lead, you’ll own the AI and automation practice at Rivulet IQ: leading a team of AI/automation professionals, working on your own projects hands-on, and serving as the bridge between what clients need and what the team delivers. You’ll coordinate closely with Account Managers who own the client relationship — your job is to make sure the work is sharp, on time, and actually solves the problem.
This role is for someone who takes initiative without being asked, holds a high bar for quality, and knows how to keep a team moving in the right direction.
This role is for someone who enjoys:
- Staying hands-on technically while also leading a team
- Owning quality end-to-end, from requirement to final handoff
- Solving genuinely hard, current problems in AI and automation
- Setting the standard for how AI solutions get built and documented
If you’re someone who wants both deep technical ownership and real leadership responsibility, this role gives you both.
- Lead end-to-end delivery of AI and automation projects — from requirement understanding to final handoff
- Work hands-on on your own projects alongside managing the team’s output
- Review deliverables before they go to clients — quality is your responsibility
- Identify risks early and resolve blockers without waiting for escalation
- Ensure all projects are delivered on time, within scope, and to a high standard
- Participate in client calls when AI requirements need to be discussed or clarified
- Understand client briefs and translate them into actionable tasks for the team
- Provide regular, structured project updates to Account Managers so they always have what they need for client communication
- Flag scope changes, delays, or risks proactively — no surprises to clients
- Lead and mentor the AI/automation team on a day-to-day basis
- Assign work, track progress, and ensure the team stays unblocked
- Review team members’ work and give direct, constructive feedback
- Build team capability through guidance, code reviews, and knowledge sharing
- Set standards for how AI solutions are built and documented at Rivulet IQ
- Design and build automation workflows using n8n, Make, Zapier, or similar platforms
- Prompt engineering and LLM system design (system prompts, context management, output structuring)
- MCP (Model Context Protocol) server development
- Integrate AI APIs such as OpenAI, Anthropic, Google Vertex AI, or Hugging Face into client solutions
- Agentic workflow design — multi-agent coordination, tool use, memory management
- Build AI-powered assistants, RAG pipelines, chatbots, and agent-based workflows
- Write clean, maintainable TypeScript, Python, or JavaScript for integrations and custom tooling
- Evaluate new tools and bring relevant ones into the team’s stack
- You want to stay technically hands-on even as you take on leadership responsibility
- You take initiative without waiting to be asked
- You hold a high bar for quality and catch issues before they reach clients
- You communicate clearly with both technical teams and client-facing stakeholders
- You’re genuinely current on where AI/automation tooling is heading
- 5+ years of experience in AI/Automation implementation, with at least 3 years of hands-on experience working directly with LLM APIs
- Experience working in a team lead or senior individual contributor role
- Hands-on experience with automation platforms — n8n, Make, Zapier, or similar
- Proficiency in TypeScript, Python, or JavaScript
- Strong understanding of APIs, system integrations, and workflow design
- Comfortable on client calls — able to ask the right questions and communicate technical progress clearly
- Proactive by nature — spots problems before they become escalations
- n8n, Make, Zapier
- OpenAI, Anthropic, Google Vertex AI, Hugging Face APIs
- TypeScript, Python, JavaScript
- Experience with agent-based architectures using direct LLM APIs or lightweight orchestration frameworks
- Self-hosted/local LLM deployment (Ollama, vLLM, Llama.cpp)
- Familiarity with AI governance or responsible AI practices
- Prior experience in a digital agency, SaaS, or IT services environment
- Ownership of a growing AI/automation practice, from strategy to hands-on build
- Direct exposure to cutting-edge AI tooling and client problems
- A leadership role that doesn’t require stepping away from technical work
- Influence over how the team’s technical standards and practices evolve
