About 10Pearls: 10Pearls is a global, purpose-driven AI-powered digital engineering partner helping businesses re-imagine, digitalize, and accelerate. As an end-to-end digital technology partner, 10Pearls helps businesses create future-proof, transformative digital products that leverage emerging technologies. 10Pearls' clients include Global 2000 enterprises, high growth mid-size businesses, and some of the most exciting start-ups from industries like healthcare, fintech, energy, education, real estate, retail, and hi-tech. Headquartered in the Washington DC metro area, 10Pearls has product engineering and software development centers in North America, Latin America, Europe, and South Asia. To learn more, visit https://10pearls.com.
10Pearls is an Equal Opportunity Employer and is committed to maintaining a diverse workplace.
Role Overview: We are seeking a polished, strategic, and highly credible Senior Director of AI Solutions to serve as the senior pre-sales leader for our AI practice. This role is ideal for someone who excels in client-facing technical advisory, executive communication, and solution shaping, but who is not a quota-carrying seller or outbound hunter. The Senior Director of AI Solutions will partner closely with our sales team to help articulate our AI capabilities, translate business problems into AI-enabled solutions, and guide enterprise customers through the early phases of their AI transformation journey. The ideal candidate combines strong technical fluency with exceptional storytelling, presence, and consultative problem-solving skills. This individual must be comfortable navigating complex enterprise environments, engaging with C-suite leaders, and collaborating with engineers, data scientists, and delivery teams to craft compelling, high-value AI solutions.
Key Responsibilities: Strategic Pre-Sales & Deal Support
Serve as the senior technical-sales advisor for enterprise opportunities, partnering with Account Executives and Client Partners throughout the sales cycle.
Lead discovery sessions to understand customer needs, business challenges, and strategic priorities.
Develop tailored AI solution approaches, conceptual architectures, and value propositions that align with customer goals.
Support proposal development, RFP/RFI responses, demos, and proof-of-value scoping.
Present and defend solutions to technical and business stakeholders, including C-suite leadership.
Executive Engagement & Value Articulation
Lead solutioning conversations with senior executives to help them understand what AI can do for their business.
Translate complex AI/ML concepts into clear, compelling narratives that resonate with non-technical leaders.
Facilitate strategy workshops, use-case prioritization sessions, and AI roadmapping discussions.
Solution Design & Technical Credibility
Collaborate with data science, engineering, and architecture teams to design viable, scalable solution approaches.
Validate feasibility, scope, risks, and required capabilities for proposed AI solutions.
Bring technical rigor to solution design while ensuring approaches remain aligned with business outcomes.
Cross-Functional Collaboration
Work closely with sales, delivery, engineering, and product teams to ensure consistency in messaging, solution packaging, and go-to-market strategy.
Provide critical market and customer insights to influence product roadmaps and service offerings.
Thought Leadership & Market Presence
Represent the company in customer workshops, industry events, webinars, and analyst engagements.
Contribute to thought leadership, whitepapers, and strategic content that supports sales and brand visibility.
Enablement & Best Practices
Establish pre-sales methodologies, templates, and frameworks that improve solutioning efficiency and win rates.
Mentor junior solution consultants and sales engineers on effective storytelling, discovery, and solution design techniques.
Required Qualifications
7+ years in AI/ML pre-sales, solutions architecture, technical consulting, or similar client-facing roles.
Strong experience supporting complex enterprise sales cycles and collaborating with account teams.
Ability to confidently engage and influence C-suite leaders and senior technical decision-makers.
Deep understanding of AI/ML concepts, architectures, data pipelines, LLMs, and real-world implementation patterns.
Exceptional storytelling and presentation skills; able to communicate technical ideas in clear business terms.
Proven ability to translate ambiguous customer needs into structured, high-value solution proposals.
Experience with regulated industries (healthcare, financial services, fintech, telecommunications, energy, industrials) is a strong plus.
Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or related technical field preferred.