Sr AI Solution Architect

About The Opportunity

Netrix Global is seeking a highly strategic and technically capable Sr AI Solutions Architect to support the continued growth of our Data & AI practice. This role sits at the intersection of solution strategy, enterprise architecture, client engagement, delivery alignment, and go-to-market execution.

The ideal candidate combines strong client-facing consulting and technical solutioning capabilities with a practical understanding of what it takes to successfully implement, operationalize, and scale enterprise AI solutions. This individual will work directly alongside Sales, Delivery, Alliances, and Leadership teams to shape opportunities, refine service offerings, support strategic growth initiatives, and guide clients through AI-related discovery and implementation planning.

This is not a traditional pre-sales role focused primarily on workshops, funded assessments, or demonstrations. We are looking for someone who can help clients move from AI interest and exploratory conversations into executable delivery engagements with clear business outcomes, scalable architectures, operational ownership, and long-term adoption strategies.

The role requires strong communication skills, technical credibility, strategic thinking, and the ability to bridge conversations between business stakeholders, technical teams, architects, and executive leadership.

The ideal candidate understands both the business realities and operational complexities of enterprise AI adoption and can confidently balance innovation with implementation practicality, governance considerations, supportability, scalability, and delivery execution.

How You Will Make An Impact

Sales Engineering & Solution Strategy

• Partner directly with Sales teams to support AI-related opportunity development and pursuit strategy.
• Participate in client meetings to understand business objectives, operational challenges, technical constraints, implementation risks, and transformation goals.
• Lead or assist with development of solution architectures, implementation strategies, statements of work, delivery assumptions, and operational transition planning.
• Support effort estimation, engagement scoping, staffing alignment, implementation planning, and delivery execution readiness activities.
• Help identify technical risks, operational dependencies, governance considerations, supportability concerns, and implementation challenges during pursuit activities.
• Conduct executive briefings and strategic discussions related to enterprise AI technologies, implementation approaches, and operational readiness.
• Assist with positioning AI solutions in a business-focused and outcome-oriented manner.
• Collaborate closely with delivery architects and engineers to ensure proposed solutions are executable, supportable, scalable, and aligned with delivery