Vice President - Solutions Engineering

Overview

Overview

Your role

Team & Function Leadership

• Lead, mentor, and grow a multi-disciplinary Solution Engineering team of across technical, business consulting, and solution architecture tracks.
• Define the operating model, career frameworks, and capability roadmap for the Solution Engineering function.
• Drive a high-performance culture focused on accountability, continuous improvement, and customer outcomes.
• Partner with Sales, Product, Applied Science, and Delivery leadership to align the function with company priorities and revenue goals.

Strategic Pre-Sales & Commercial Impact

• Own the Solution Engineering contribution to revenue opportunity qualification, driving win rates, deal velocity, and pipeline quality across strategic opportunities.
• Lead or oversee executive-level customer engagements, workshops, and solution presentations across target industries (FSI, Retail, Telco, Public Sector, National Security).
• Ensure the team delivers compelling, differentiated responses to RFPs/RFIs, PoCs, and pilot engagements.
• Establish ROI frameworks, value hypotheses, and business case methodologies that connect Inception’s AI capabilities to measurable customer outcomes.

AI Solution Design & Architecture

• Provide senior technical oversight across the full solution design lifecycle, from discovery and AI envisioning through to architecture validation and handover to delivery.
• Set the technical bar for how solutions are designed, covering Generative AI, Agentic AI, RAG, ML, Conversational AI, and enterprise data platforms.
• Ensure all proposed solutions are feasible, scalable, secure, and aligned with Inception’s product and platform strategy.
• Drive rapid prototyping and MLP approaches that validate value early and reduce delivery risk.

Partner Ecosystem Enablement

• Own the Solution Engineering team’s contribution to partner qualification and enablement defining how Inception’s AI products are positioned within each partner’s go-to-market.
• Lead technical deep-dives, architecture walkthroughs, and capability workshops with strategic partners to ensure they can effectively represent and extend Inception’s solutions in the market.
• Define value engineering frameworks and ROI models tailored to partner-led opportunities, enabling partners to make a compelling business case for Inception’s AI capabilities in their own customer conversations.
• Build and maintain a library of partner-specific solution briefs, pricing frameworks, and competitive differentiators to accelerate proposal quality and turnaround time.

Practice Building & Operational Excellence

• Build and continuously improve a reusable library of solution blueprints, reference architectures, proposal templates, and pre-sales playbooks.
• Define and track function-level KPIs including win rate, deal velocity, prototype-to-MVP conversion, and customer satisfaction.
• Establish governance and quality standards for solution design, ensuring consistency and rigour across all engagements.
• Represent Inception externally as a thought leader — at customer briefings, industry events, and partner ecosystems.

Qualifications

• Bachelor’s in Computer Science, Engineering, Business, or a related field and a Master’s or MBA.
• 20+ years of experience in solution engineering, solution architecture, technical consulting, or related functions with at least 10 years in a leadership or people management role.
• Proven track record leading pre-sales and solution engineering teams in an AI, cloud, SaaS, or enterprise technology environment.
• Deep understanding of enterprise AI solution design including Generative AI, Agentic AI, ML, RAG, and Conversational AI.
• Strong commercial acumen and experience influencing revenue outcomes, shaping complex deals, and engaging with C-suite stakeholders.
• Experience managing or enabling technology partner relationships, including joint solution development and co-delivery.
• Experience working across multiple industries such as FSI, Retail, Telco, Public Sector, or National Security.
• Demonstrated ability to build and scale high-performing, multi-disciplinary technical teams.

Ideally Also Have

• Good understanding of Azure AI platforms, cloud architecture, on-premise and hybrid or air-gapped deployment models.
• Exposure to regulated or government enterprise environments.
• Familiarity with LLMOps, responsible AI frameworks, and enterprise data governance.
• Experience building solution accelerators, reusable frameworks, or centres of excellence.

What Success Looks Like

• A consistently high-performing team that wins strategic deals and delivers AI solutions customers value.
• Shorter sales cycles driven by sharper solution design and clearer value narratives.
• A repeatable, scalable pre-sales motion with reusable assets that reduce ramp time and increase quality.
• Partners who are genuinely enabled able to position, propose, and deliver Inception solutions with confidence.
• A team that grows — technically, commercially, and professionally — under your leadership.
• Inception recognised in the market as a trusted AI solution partner, not just a product vendor.

What We Look For

What Working At Inception Offers