Overview
The AI Solutions Consultant partners with sales to shape, scope, and win AIdriven deals. This role combines deep technical understanding with business acumen to design compelling solutions, run demos, and build client confidence in AI adoption.
Your Role and Responsibilities
What You’ll Do
Key Responsibilities
- Lead technical discovery and map client needs to AI solution offerings.
- Design solution architectures, estimates, and proof-of-concepts.
- Deliver tailored demos and technical presentations to stakeholders.
- Author proposals, SOWs, and responses to RFPs alongside sales.
- Serve as trusted advisor on AI strategy, feasibility, and ROI.
- Feed market and client insights back to delivery and product teams.
REQUIREMENTS
What This Role Requires
Education
- Bachelor’s degree in Computer Science, Engineering, or Business (technical background preferred).
Experience
- 4+ years in pre-sales, solution consulting, or technical delivery.
- Experience scoping AI, data, or cloud solutions for enterprise clients.
Technical Skills
- Strong knowledge of the AI/GenAI landscape and enterprise use cases.
- Familiarity with cloud platforms and AI services.
- Ability to design solution architectures and estimate effort.
- Comfort building POCs and demos.
Soft Skills
- Outstanding presentation and storytelling skills.
- Consultative, relationship-driven approach.
- Business and commercial awareness.
- Confidence engaging executives and technical buyers alike.
Working at Motivus
What Working Here Looks Like
- Guild community: You’re part of the [Data & AI / Backend / Cloud] Guild — a community of practitioners in your domain. Structured learning, peer review, and certifications happen here, not in isolation.
- Outcome accountability: Your work connects directly to a client result. We don’t measure activity — we measure delivery.
- AI in your workflow: Through AI Champions and Guild initiatives, you’ll actively use and shape how AI tools are applied to engineering work — not just hear about it in a townhall.
- Defined career path: Structured progression from individual contributor to technical lead to Guild leadership, with certifications and milestones that are visible, not arbitrary.
