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About the Role

Greenlight helps organizations solve complex business challenges through intelligent automation, agentic AI, and custom technology solutions. 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. This role sits at the center of our AI capability, using Anthropic's Claude for discovery synthesis, analysis, design generation, and prompt engineering.

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
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
Coordinate UAT execution: prepare client testers, manage the schedule, triage defects, and drive closure before go-live
Lead DU training during enablement and generate SOPs and change management materials where needed
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
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
Own the solution definition layer - translating what a client needs into a scope that the delivery team can execute against cleanly
Build reusable solution accelerators, discovery templates, and capability narratives
Build trust with process owners and SMEs fast
Stay active through the build: respond to developer queries quickly, flag scope and stakeholder risks the moment they surface
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

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
Experience with Anthropic Claude API, OpenAI API, or similar LLM interfaces: prompt design, output evaluation, and integration logic
Jira, Confluence, Azure DevOps, or equivalent for backlog management and documentation (nice to have)
UiPath Business Analyst, Platform Associate, or Solution Architect certification (nice to have)
Anthropic or other LLM platform certifications or formal prompt engineering training (nice to have)
Blackbelt, CBAP, CCBA, IIBA, or equivalent BA certification (nice to have)
Background in a consulting, managed services, or systems integrator environment (boutique preferred) (nice to have)
Background in technical scoping, solution engineering, or client-facing advisory (nice to have)

Skills

Precision and attention to detail
Strong facilitation
Technical fluency
Analytical mindset
Client-confident communicator
Self-directed/fast-moving
Travel-ready

Location

Onshore Canada — Toronto preferred

Work Type

Hybrid — onsite client-facing with occasional travel.

Experience Level

Mid-Career (4–8 years relevant experience)

Salary/Compensations

$100,000 – $130,000 CAD annually

About the Company

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.
Greenlight is a certified Great Place to Work™ — 98% score.

Equal Opportunity

Greenlight is an equal opportunity employer. We believe in fair consideration for all candidates regardless of ethnicity, culture, sexual orientation, religion, age, gender, or disability status.