AI Solutions Consultant

Summary

Skan AI is building a context engine for human and agentic execution, combining AI, process intelligence and enterprise work to make automation reliable and production-ready. The AI Solutions Consultant owns end-to-end customer delivery, including discovery, solution design, configuration, integrations, deployment and value realization, while building AI agents and accelerators that address customer business problems.

Responsibilities

• End-to-end delivery for assigned accounts — discovery, solution design, configuration, validation, deployment and value realization
• Deep Skan product expertise — the certified go-to on the platform for your accounts
• Hands-on building at the customer's side — configuration, integrations and custom agents/accelerators that extend the platform to the real problem
• Leading customer discovery sessions end-to-end; framing requirements and articulating the value drivers
• Data health, integration quality and analysis that moves from descriptive to predictive to prescriptive
• AI-first delivery — building agents and reusable assets that automate repeating work

Skills

• 2–6 years in consulting / delivery; a Deloitte / Accenture / KPMG / PwC / EY or SI background applied with a builder's, AI-first mindset
• Real end-to-end ownership on Skan or a comparable platform — product depth is critical
• Exposure to process intelligence, process mining, RPA, workflow automation or BPM
• Data fluency — SQL and BI tools, with Python a plus; can independently lead a customer discovery session and earn the trust of business stakeholders
• Wants to build and ship, not just advise; solutions-led and heavily hands-on
• **Thrives in uncertainty:** Can run a substantive, back-and-forth customer conversation, build on a fuzzy idea, and convert uncertainty into certainty — Idea → Implementation → Impact. Customers are under pressure and want someone who guides and coaches them
• **Pragmatic solutioning:** Navigates roadblocks and imperfect systems without waiting to be told what to do — independent judgment over guidance-dependence
• **Data-first, value-driven (not task execution):** The real work isn't just executing the task in front of you. You own the step before — figuring out what data matters to create foresight on what to optimize — and the step after — the 'what next' that turns insight into value — keeping everything aligned to the customer's bigger goals
• **AI-first by default:** Collects data first, then builds agents to optimize workflows — moving past large, manual analyst-and-developer teams
• **Ownership, agility, client-facing:** Continuous contact with the customer and heavy ownership across every one of these dimensions
• **Our priorities, in order:** product expert (trained and certified on Skan), AI-first (agents do the repeat work — every consultant a 10x consultant), solutions-led (solve the true business problem), and end-to-end ownership from discovery through adoption
• **The bar:** you solve real customer problems, and you can independently lead a customer discovery session — turning discovery and ideas into a clear plan to ship and adopt an AI solution
• **Hands-on and technical:** you lead discovery, then build the solution yourself — configuration, integrations and the AI agents and accelerators that take it from platform to live value
• **Travel and focus:** roughly 30% travel to customer sites; about 80% on customer delivery, 20% on learning and certification

Qualifications

Must Haves

• 2–6 years in consulting / delivery; a Deloitte / Accenture / KPMG / PwC / EY or SI background applied with a builder's, AI-first mindset
• Real end-to-end ownership on Skan or a comparable platform — product depth is critical
• Exposure to process intelligence, process mining, RPA, workflow automation or BPM
• Data fluency — SQL and BI tools, with Python a plus; can independently lead a customer discovery session and earn the trust of business stakeholders
• Wants to build and ship, not just advise; solutions-led and heavily hands-on
• **Thrives in uncertainty:** Can run a substantive, back-and-forth customer conversation, build on a fuzzy idea, and convert uncertainty into certainty — Idea → Implementation → Impact. Customers are under pressure and want someone who guides and coaches them
• **Pragmatic solutioning:** Navigates roadblocks and imperfect systems without waiting to be told what to do — independent judgment over guidance-dependence
• **Data-first, value-driven (not task execution):** The real work isn't just executing the task in front of you. You own the step before — figuring out what data matters to create foresight on what to optimize — and the step after — the 'what next' that turns insight into value — keeping everything aligned to the customer's bigger goals
• **AI-first by default:** Collects data first, then builds agents to optimize workflows — moving past large, manual analyst-and-developer teams
• **Ownership, agility, client-facing:** Continuous contact with the customer and heavy ownership across every one of these dimensions
• **Our priorities, in order:** product expert (trained and certified on Skan), AI-first (agents do the repeat work — every consultant a 10x consultant), solutions-led (solve the true business problem), and end-to-end ownership from discovery through adoption
• **The bar:** you solve real customer problems, and you can independently lead a customer discovery session — turning discovery and ideas into a clear plan to ship and adopt an AI solution
• **Hands-on and technical:** you lead discovery, then build the solution yourself — configuration, integrations and the AI agents and accelerators that take it from platform to live value
• **Travel and focus:** roughly 30% travel to customer sites; about 80% on customer delivery, 20% on learning and certification

Benefits

• Full-Time employment
• On-site work model
• Training and certification on Skan
• Learning and certification time (about 20% of the role)