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Solvd is seeking a Director of AI Solutions - a techno-functional leader who will shape, sell and scale our next generation of AI service offerings. This role sits at the intersection of technology innovation and business growth, driving revenue impact through solution strategy, deal leadership and delivery alignment. The ideal candidate combines deep technical credibility with strong commercial and consulting acumen, translating AI capabilities into tangible client value and accelerating Solvd's AI transformation journey.
Job Responsibility:
Drive and own the AI solutions offering portfolio (GenAI, LLM-based, Agentic AI) from ideation through market launch, enabling growth and differentiation
Collaborate with GTM teams (sales, marketing, partners) to craft solution value propositions, build climb-charts, influence pipeline, support POCs and convert opportunities into engagements
Lead key sales pursuits: lead solutioning workshops, presale processes, shape deal architecture, run technical-commercial demos and help define scope, pricing, and delivery model to maximise win-rate
Ensure delivery readiness: in partnership with technology leaders validate that proposed AI engagements are feasible, scoped appropriately, resource-aligned, and have acceptable risk/margin before hand-off to delivery teams
Maintain credibility with clients and technology teams: act as thought-leader in GenAI/LLMs/Agentic AI, staying current on ecosystem (models, platforms, guardrails) and present to client executives and internal stakeholders
Build and lead a small team of solution architects and pre-sales specialists focused on AI solutions
mentor and grow their capabilities
Monitor and report on key metrics: pipeline influenced, proposal-to-win conversion, offering adoption, margin performance, and client satisfaction
Requirements:
6-8 years of experience in technology consulting, solution architecture or presales leadership roles, with at least 2 years in AI-driven or data-led transformation programs
Proven record of owning or leading complex presales pursuits (>$1M TCV), including solution strategy, scoping, pricing and client presentations
Demonstrated ability to translate business objectives into differentiated AI solution strategies - particularly in GenAI / Agentic AI domains
Deep understanding of AI service delivery models (e.g., accelerators, PoCs, pilots, managed services) and how they tie to commercial success metrics (margin, utilization, win-rate)
Experience partnering with GTM organizations (sales, marketing, alliances) to develop offerings, pitch materials and go-to-market collateral
Excellent communication and storytelling skills, capable of engaging both C-level business stakeholders and technical architects
Strong commercial acumen: able to assess feasibility, risk, and profitability of proposed engagements
Bachelor’s or Master’s degree in Computer Science, Engineering, or Business/Technology Management
Nice to have:
Hands-on familiarity (conceptual or practical) with GenAI ecosystems — e.g., OpenAI, Azure AI, Google Vertex, Anthropic, or open-source frameworks (LangChain, RAG architectures)
Prior experience leading cross-functional pursuit teams involving solution architects, product consultants, delivery managers and AI/data engineers
Proven success in developing and launching new service offerings (solution accelerators, frameworks, playbooks or reusable assets)
Experience presenting at industry conferences or leading internal AI evangelization / thought leadership initiatives
Understanding of AI governance and ethical AI frameworks (data privacy, transparency, model risk)
Domain experience in retail/eCommerce and/or customer experience transformation
Industry-recognized certifications in the GenAI or AI strategy space
What we offer:
Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation
Be part of a global team with equal opportunities for collaboration across continents and cultures
Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards