Senior Director of AI Solutions

Company Overview:
10Pearls is a global, purpose-driven AI-Native 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.

Role:
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.

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.

Requirement:

• 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.