AI Solutions Lead

We’re building something real in AI — and we need someone to lead it from the inside. As our

AI Solutions Lead , you’ll own the AI and automation practice at Rivulet IQ. You’ll lead a team of AI/automation professionals, work on your own projects hands-on, and be the bridge between what clients need and what the team delivers. You’ll coordinate closely with Account Managers who handle the client relationship — your job is to make sure the work is sharp, on time, and actually solves the problem. This is a role 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.

Key Responsibilities 1. Project Delivery & Execution

• 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 2. Client Coordination
• 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 3. Team Leadership
• 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 4. Hands-On Technical Work
• 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 — central to how modern AI tooling integrates
• 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

Desired Skills & Experience

• 5+ years of experience in AI/Automation implementation, with at least 3 years of hands-on experience working directly with LLM APIs
• 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
• Experience working in a team lead or senior individual contributor role
• Comfortable on client calls — able to ask the right questions and communicate technical progress clearly
• Proactive by nature — you spot problems before they become escalations
• Prior experience in a digital agency, SaaS, or IT services environment is preferred

Nice to Have

• 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