AI Presales Leader, Solutions Architect (Req #1411)

Role overview Lead AI presales strategy and adoption while staying hands-on as a solutions architect. You’ll guide technical presales professionals, advise customer leaders, and work across sales, engineering, consulting, and business teams to turn AI opportunities into practical solutions and repeatable offerings.

Responsibilities - Identify and prioritize internal and customer AI use cases, and promote responsible adoption through guidance and governance. - Advise customer executives and technical teams; lead discovery workshops, briefings, and solution planning. - Support complex sales opportunities by qualifying needs, shaping proposals, and connecting requirements with suitable services and partner technologies. - Guide AI concepts from discovery through architecture, prototypes, business cases, and delivery plans. - Review designs, proposals, scopes, and statements of work for technical fit and delivery feasibility. - Coach presales staff, share technical and market knowledge, and build reusable offerings, demonstrations, and team resources.

Requirements - Bachelor’s degree or equivalent relevant experience, with at least 8 years in presales engineering, solutions architecture, consulting, or technical sales. - At least 3 years leading, mentoring, or managing technical presales, engineering, or architecture teams. - Experience designing, positioning, or implementing AI, machine learning, analytics, automation, cloud, or related solutions. - Strong understanding of generative AI, large language models, AI infrastructure, data platforms, and AI governance. - Experience taking AI work from initial use case to prototype, business case, and broader rollout. - Ability to communicate technical and business concepts to executives, customers, partners, and internal teams while remaining hands-on.

Nice to have - Experience leading presales teams and developing AI solutions. - Hands-on experience with AI offerings from major cloud and technology platforms, including Microsoft, OpenAI, NVIDIA, AWS, or Google Cloud.

Benefits and work setup The source describes medical and financial benefits, 401(k) eligibility, an employee stock purchase program, and paid time off. Compensation may include commissions and discretionary bonuses; specific plan details depend on the position.