AI Solution Architect

Role overview

Responsibilities

• Own AI go-to-market strategy and build relationships with C-suite and senior executive stakeholders.
• Identify, qualify, and shape AI transformation opportunities aligned to client priorities and industry trends.
• Develop AI value propositions, business cases, solution narratives, and executive presentations.
• Work with Client Partners, Sales, and Industry Leaders to originate, position, and close AI engagements.
• Lead RFP, RFI, and RFQ responses, including solution strategy, win themes, proposal development, and stakeholder alignment.
• Lead executive presales, opportunity shaping, solution design, and proposal positioning.
• Grow AI pipeline and revenue; develop account growth plans, pursuit strategies, and differentiated solution positioning.
• Embed responsible AI principles, security, governance, transparency, and human oversight into opportunities and solution design.
• Collaborate across business, delivery, and leadership teams in a matrixed organization.

Experience and qualifications

• 8–12 years of consulting, professional services, or industry experience, including significant client-facing responsibility and progressive leadership exposure.
• At least 5 years leading or co-leading AI, data, advanced analytics, or digital transformation initiatives.
• At least 2 years of hands-on experience with Generative AI solutions, such as large language models, AI agents, or GenAI-enabled applications.
• At least 5 years of experience in one or more industry verticals, including Banking, Insurance, Manufacturing and Commercial, Automotive, Healthcare and Life Sciences, or Public Sector.
• At least 2 years supporting or leading presales activities, including opportunity identification, solution shaping, proposal development, and executive deal reviews.
• Bachelor’s degree or equivalent practical experience in a relevant field.

Skills and knowledge

• Strong experience developing and executing go-to-market strategies for advanced technology or AI-led solutions.
• Deep understanding of Generative AI, machine learning, and natural language processing concepts and real-world use cases.
• Influence senior executives and communicate complex technical concepts clearly in business-focused language.
• Demonstrate a commercial mindset and success shaping, positioning, and closing high-value AI or technology engagements.
• Experience leading complex RFP, RFI, and proposal responses and developing solution narratives and win strategies.
• Familiarity with cloud platforms such as Azure, AWS, and GCP is requested.

Workplace

• Hybrid working.

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