AI Automation Business Consultant

Greenlight Consulting•Toronto, ON

3d•CA$100,000 - CA$130,000•Hybrid

About The Position

Greenlight helps organizations solve complex business challenges through intelligent automation, agentic AI, and custom technology solutions. Our teams work directly with clients to understand their operations, identify opportunities, and rapidly build solutions that create measurable business value. We combine deep consulting expertise with hands-on engineering to bridge the gap between strategy and execution. We're building a future where consultants and engineers work alongside AI to deliver faster outcomes, stronger businesses, and transformative customer experiences. We build with AI as a core delivery tool — Anthropic's Claude powers our discovery synthesis, analysis & design generation, and prompt engineering workflows, and this role sits at the center of that capability. What makes a star at Greenlight? Inherently inquisitive and driven — you want to know how everything works Fluent in both business and technology — you translate between worlds effortlessly Passionate about AI and automation — you stay ahead of the curve because it excites you Outstanding communicator — in the room with a CFO or a developer, you are equally at home Ownership mindset — you do not wait to be told; you move

Requirements

4–8 years in a AI or Automation Consultant, or Technical Consulting role within technology
Proven experience facilitating client-facing process discovery and requirements workshops (in-person and remote) and translating outputs into formal documentation
Ability to produce structured requirements and process documentation: PDDs, BRDs, user stories, agent specs, test plans & test cases or equivalent deliverables built for an engineering team to execute against
Hands-on experience with RPA platforms (UiPath strongly preferred) or AI/LLM-powered automation
Direct exposure to AI tools, LLM APIs, or prompt engineering (formal role or through active self-taught)
Experience contributing to scoping, solution design, or proposal activities - understanding how a solution gets defined before it gets built
Anthropic Claude API, OpenAI API, or similar LLM interfaces: prompt design, output evaluation, and integration logic
Precision and attention to detail — your documentation is what gets built; ambiguity costs the project
Strong facilitation — Run structured workshops, control the room, and surface the detail that matters
Technical fluency — comfortable enough with APIs, JSON, and automation logic to design agent workflows, not just describe them
Analytical mindset — Deconstruct complex processes, define decision logic, and anticipate failure modes
Client-confident communicator — executive presence, ability to go deep on technical detail
Self-directed/fast-moving — comfortable in short-cycle delivery where not everything is defined upfront
Travel-ready — this role includes regular client-site travel; you treat that as an advantage, not a burden

Nice To Haves

Jira, Confluence, Azure DevOps, or equivalent for backlog management and documentation
UiPath Business Analyst, Platform Associate, or Solution Architect certification
Anthropic or other LLM platform certifications or formal prompt engineering training
Blackbelt, CBAP, CCBA, IIBA, or equivalent BA certification
Background in a consulting, managed services, or systems integrator environment (boutique preferred)
Background in technical scoping, solution engineering, or client-facing advisory

Responsibilities

Partner with the PM for client readiness activities pre project kickoff
Lead process discovery workshops (onsite where required) running small builds in a single session and medium-to-large builds across three sessions with 1day Ai enabled PDD turnaround
Produce PDDs within one day of completing discovery — the authoritative build specification, zero ambiguity, zero gaps
Validate and refine AI-generated SDDs: accuracy against the PDD, security and scalability considerations confirmed and finalized with the engineer before build begins — without letting documentation block development
Facilitate sprint demos with the client at the close of each Build sprint
Begin test case development with the client in Week 1 of the build phase — in parallel with development, not after it — so UAT is ready to execute the moment a build is promotable
Coordinate UAT execution: prepare client testers, manage the schedule, triage defects, and drive closure before go-live
Where required, lead DU training during enablement and generate SOPs and change management materials where needed to close the gap between what was built and how the business will run it
Translate business problems into prompt architecture for Claude and other LLM components - defining reasoning logic, decision trees, fallback paths, output format specifications, and human-in-the-loop triggers
Specify output requirements in full — JSON schemas, response templates, validation rules — so developers integrate without guesswork
Design and run LLM output evaluation frameworks: pass/fail criteria for probabilistic responses, regression testing when prompts or models change, and output drift monitoring before issues reach the client
Maintain a prompt changelog and contribute to a shared testing library that raises quality standards across the practice
Translate pre-sales discovery outputs into solution narratives: what the automation or AI agent will do, what it will replace, and what the business outcome looks like in concrete terms
Own the solution definition layer - translating what a client needs into a scope that the delivery team can execute against cleanly, with no interpretation required
Build reusable solution accelerators, discovery templates, and capability narratives that shorten the cycle on repeat opportunity types
Build trust with process owners and SMEs fast — you need the real detail, not the version they think you want
Stay active through the build: respond to developer queries quickly, flag scope and stakeholder risks the moment they surface, and keep the delivery thread tight
Present documentation, agent specs, and UAT outcomes for client sign-off — clearly, confidently, no ambiguity
Recognize and flag scope change triggers during build; partner with the PM to initiate CR process before absorbing out-of-scope requests.

Benefits

The expected salary range for this role is $100,000 – $130,000 CAD annually, based on experience and qualifications. We're happy to discuss further in conversation.

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