GenAI Solutions Architect — Enterprise Delivery

Evalueserve; United States; On-site; USD 140,000 - 210,000; Full time

Job summary

Evalueserve in the United States is seeking a GenAI Solution Architect to lead client-facing solution design, presales shaping, and post-sale delivery for enterprise AI transformations.

This role translates ambiguous business problems into scalable GenAI solutions across data, architecture, governance, and operating models, partnering with sales, delivery teams, and senior client stakeholders to accelerate value and ensure successful deployments.

Qualifications

• 12+ years of experience in technology consulting, solution architecture, enterprise software delivery, or AI advisory.
• Proven track record working with financial services, healthcare, consumer, or large enterprise clients in a technical advisory or delivery capacity.
• Experience in a client-facing technical role such as forward-deployed engineer, solution architect, technical consultant, or presales engineer.
• Demonstrated ability to manage the full deal lifecycle from discovery through solutioning, proposal support, and delivery transition.
• Bachelor's degree in related field

Responsibilities

• Lead client-facing discovery conversations and design for GenAI propositions.
• Take end-to-end ownership of delivery once a deal is signed, coordinating global engineering and domain specialists.
• Develop reusable delivery patterns and contribute to thought leadership and go-to-market content.
• Identify expansion opportunities within existing accounts through adjacent use cases and platform extensions.

Skills

GenAI systems

Solutions architecture

Enterprise AI delivery

Client-facing

Python

Cloud services

Education

Bachelor's degree in related field

Tools

APIs

Notebooks

Job description

Evalueserve in the United States is seeking a GenAI Solution Architect to lead client-facing solution design, presales shaping, and post-sale delivery for enterprise AI transformations.

This role translates ambiguous business problems into scalable GenAI solutions across data, architecture, governance, and operating models, partnering with sales, delivery teams, and senior client stakeholders to accelerate value and ensure successful deployments.