Full-Time

Director AI Practice

Development, Growth, & Strategic Partnerships

LTS

LTS

201-500 employees

Builds, deploys, sustains mission-critical federal IT

No salary listed

Remote in USA

Remote

Travel is required as needed for customers, partners, pursuits, and industry engagements.

Bachelor's, Master's

Category
Business & Strategy (2)
,
Required Skills
LLM
Machine Learning
RAG

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Requirements
  • A bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Information Systems, Business, or a related field; equivalent relevant experience may be considered.
  • At least 10 years of progressive experience across AI or technology consulting, professional services, practice development, business development, capture, alliances, or growth leadership.
  • Demonstrated success building or significantly scaling an AI consulting, technology, or professional services practice, including measurable pipeline, bookings, revenue, or market growth.
  • Proven experience taking AI capabilities to market and converting them into repeatable service offerings and revenue-generating client engagements.
  • A record of personally originating, shaping, capturing, and winning complex AI or technology services opportunities, not solely supporting pursuits led by others.
  • Strong relationships or demonstrated credibility with AI product companies, model providers, cloud platforms, enterprise software firms, and systems integrators.
  • Deep familiarity with technology partnership structures, including alliance tiers, co-sell programs, channels, marketplaces, joint solution development, and partner-led demand generation.
  • Experience leading capture and contributing directly to proposals, solution presentations, demonstrations, executive briefings, and oral proposal sessions.
  • Technical fluency sufficient to engage credibly with customer executives, architects, engineers, delivery teams, and technology partners while translating business needs into practical AI solution strategies.
  • Outstanding executive communication, relationship-building, negotiation, presentation, and influencing skills, paired with a strong bias for action and comfort operating as a hands-on individual contributor.
  • Ability to travel as required to support customers, partners, pursuits, and industry engagements.
Responsibilities
  • Personally own and execute the growth strategy, pipeline, bookings, revenue, and market expansion goals for LTS' AI practice.
  • Identify, qualify, shape, and pursue strategic AI consulting, implementation, and technology-enabled services opportunities.
  • Use established customer, industry, and partner relationships to create access, schedule conversations, accelerate opportunity development, and generate qualified demand.
  • Build executive-level relationships with customer decision-makers, mission and business leaders, technology executives, and procurement stakeholders.
  • Maintain disciplined opportunity and pipeline management, including growth forecasts, pursuit priorities, investment decisions, and measurable performance reporting.
  • Personally develop and commercialize repeatable AI service offerings, accelerators, sales materials, and solution plays aligned with customer needs, market demand, and LTS' technical capabilities.
  • Define go-to-market strategies, target markets, buyer personas, value propositions, pricing approaches, and routes to market for the AI portfolio.
  • Translate emerging AI capabilities into outcome-focused offerings that can be sold, delivered, scaled, and expanded across accounts.
  • Partner with the EVP, AI, architects, engineers, delivery leaders, and account executives to align the AI roadmap with market opportunities and client priorities.
  • Establish the operating cadence, growth metrics, and repeatable methods needed to mature the practice from early opportunities into a sustainable line of business.
  • Establish and deepen relationships with AI product firms, foundation-model providers, cloud platforms, data and software companies, and systems integrators.
  • Understand partner programs, alliance models, co-sell motions, channel structures, marketplace opportunities, certifications, and partnership tiers, and translate them into business advantage for LTS.
  • Develop joint solutions, go-to-market plans, demonstrations, and pursuit strategies with strategic technology partners.
  • Negotiate and activate partnerships that expand LTS' capabilities, improve competitive positioning, create qualified pipeline, and accelerate customer adoption.
  • Maintain senior relationships within relevant AI and product companies and serve as LTS' executive point of contact across the partner ecosystem.
  • Lead opportunity qualification, customer shaping, capture planning, competitive positioning, teaming, and win-strategy development for priority AI pursuits.
  • Own the business narrative and contribute directly to proposal strategy, solution framing, executive summaries, technical content, reviews, and oral presentations.
  • Bring together customer needs, LTS capabilities, partner technologies, pricing considerations, and delivery realities to shape differentiated and executable solutions.
  • Collaborate with growth, contracts, pricing, delivery, and technical subject-matter experts throughout the pursuit lifecycle and support a disciplined transition from award to delivery.
  • Represent LTS in executive briefings, demonstrations, conferences, industry forums, webinars, and thought-leadership opportunities.
  • Serve as a technically credible growth leader with practical knowledge of generative artificial intelligence, large language models, retrieval-augmented generation, agentic artificial intelligence, machine learning, intelligent automation, advanced analytics, and enterprise artificial intelligence platforms.
  • Serve as a trusted technical advisor to LTS AI initiatives, helping project teams apply current industry standards, technologies, architectures, and leading practices to deliver secure, responsible, and effective AI solutions.
  • Help customers evaluate use cases, expected outcomes, implementation approaches, data readiness, governance, responsible AI, security, and adoption considerations.
  • Monitor AI market trends, partner roadmaps, competitor offerings, policy developments, and evolving customer priorities, and convert insights into actionable growth plays.
  • Ensure proposed solutions are outcome-driven, technically credible, commercially viable, and aligned with LTS' ability to deliver.
Desired Qualifications
  • A master's degree in Business Administration, Computer Science, Artificial Intelligence, Engineering, or a related discipline.
  • Experience in a consulting, systems integration, digital transformation, or technology services organization serving federal and commercial customers.
  • Experience growing AI services within federal civilian, healthcare, Veterans Affairs, defense, or other regulated markets.
  • Established executive relationships across enterprise customers and leading AI ecosystems, including Microsoft, AWS, Google Cloud, OpenAI, Anthropic, NVIDIA, Databricks, or comparable firms.
  • Experience navigating federal acquisition, capture, contracting, teaming, and partner-channel environments.
  • Demonstrated success generating repeat business, strategic alliances, and measurable growth from AI-enabled consulting and implementation services.
  • Knowledge of enterprise AI governance, responsible AI, data security, cloud architecture, and compliance considerations in regulated or federal environments.

LTS provides both consulting and hands-on implementation for mission-critical needs in government and health, including disaster response, healthcare kiosks, occupational health, and federal IT work. Its approach combines program management, systems integration, and operations support to design, build, deploy, and sustain infrastructure and programs in the field. The company differentiates itself with end-to-end delivery across the full project lifecycle for government and health contexts, backed by experience across federal, state, local, and tribal levels and an emphasis on regulatory and security requirements. Its goal is to turn plans into durable, operational programs that keep communities safe and healthy.

Company Size

201-500

Company Stage

N/A

Total Funding

N/A

Headquarters

Herndon, Virginia

Founded

2005

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Simplify Jobs

Simplify's Take

What believers are saying

  • Lindsay Goldberg grew LTS revenue and EBITDA over 150% from 2020 to 2025.
  • Fifteen acquisitions and all-50-state coverage give Velocity immediate national scale.
  • Rail, renewable diesel, and generator fueling deepen cross-sell into mission-critical customers.

What critics are saying

  • Wind Point merged LTS into Velocity Rail in July 2025, eliminating standalone independence.
  • Commodity fuel delivery faces margin pressure if customers insource fueling or switch distributors.
  • Integration across 18,000 customers and 30,000 sites risks service failures and churn.

What makes LTS unique

  • 1998-founded LTS became North America's largest mobile on-site refueling operator by 2025.
  • LTS serves trucking, rail, marine, and emergency power without branch depots.
  • Its truck-to-truck model and 1,200 specialized vehicles create dense route economics.

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Benefits

Remote Work Options

Flexible Work Hours

Company News

Benzinga
Jul 22nd, 2025
LTS Sold to Velocity Rail Solutions

Lindsay Goldberg has completed the sale of Liquid Tech Solutions (LTS) to Velocity Rail Solutions. Under Lindsay Goldberg's ownership since 2020, LTS grew revenue and EBITDA by over 150%, expanded to all 50 states, and executed 15 strategic acquisitions. The transaction terms were not disclosed. Financial advisors included Harris Williams, UBS Investment Bank, and Citizens Capital Markets & Advisory.