Skip to content
10Pearls - United States

Manager of AI Solutions

Tyson's Corner, VA; StatesideUnited States
Manager · Technology
POSTED 17 NOV 2025
Apply Ask
Role
357 days opentrue age
Posted 17 Nov 2025
Pay
$153k–$216kno pay posted
Market p25–p75
$153k–$216k
United States · n=340 · 365d to 6 Nov
Company10Pearls - United States →
22open roles
Opened · 30d
+1
Closed · 30d
−0
5d of snapshots · 30d window
Market
1,860open · Manager Software engineering
Opened · 7d
+1066% of open
All software engineering
75,184open
All tracked boards · live 10 Nov · n=1,860
LLMs

About the Role

We are seeking a polished, strategic, and highly credible Manager of AI Solutions to serve as a senior technical leader for our AI practice. This role is ideal for someone with deep, hands-on expertise in designing and building AI/ML solutions — including LLM-based systems, RAG architectures, and reusable AI frameworks — who brings strong technical depth rather than a client-facing or sales-oriented skill set. 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 and hands-on solution-building experience with the ability to communicate technical concepts clearly to both technical and business audiences. This individual must be comfortable navigating complex enterprise environments and collaborating with engineers, data scientists, and delivery teams to design and build compelling, high-value AI solutions.

Key Responsibilities

Solution Architecture & Deal Support

Serve as the senior technical 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.

Technical Communication & 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 Depth

Design and build viable, scalable AI/ML solutions, including LLM-based systems, RAG pipelines, and reusable frameworks, in collaboration with data science, engineering, and architecture teams.

Validate feasibility, scope, risks, and required capabilities for proposed AI solutions.

Bring deep technical rigor and hands-on implementation experience 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 technical solutioning methodologies, frameworks, and best practices that improve solution quality and delivery efficiency.

Mentor junior solution consultants and engineers on effective solution design, architecture, and technical storytelling.

Required Qualifications

  • 5-7 years of hands-on experience in AI/ML solution architecture, applied AI/ML engineering, or technical consulting roles.
  • Strong, demonstrated experience building LLM-based systems, RAG architectures, and reusable AI/ML frameworks.
  • Ability to confidently engage and communicate with C-suite leaders and senior technical decision-makers when needed.
  • Deep understanding of AI/ML concepts, architectures, data pipelines, LLMs, and real-world implementation patterns.
  • Strong technical communication and presentation skills; able to translate technical depth into clear business terms.
  • Proven ability to translate ambiguous customer needs into structured, high-value technical solution proposals.
Source · 10Pearls - United StatesFirst seen 4 NovOriginal ↗