Full-Time
Lead AI Architect/Strategist
LTS
201-500 employees
Builds, deploys, sustains mission-critical federal IT
No salary listed
Remote in USA
Remote
Bachelor's
 AI & Machine Learning (1) |
|---|
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- A bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related technical field.
- At least 10 years of experience in software engineering, enterprise architecture, solution architecture, data architecture, or technology transformation.
- At least 5 years of experience designing and implementing AI or machine learning solutions, AI platforms, or intelligent automation solutions.
- Strong experience architecting enterprise-scale technology solutions and distributed systems.
- Proven experience with Generative AI, Large Language Models, and AI application architectures.
- Hands-on experience with Retrieval-Augmented Generation, AI agents or agentic AI, prompt engineering, vector databases and embeddings, model orchestration, and AI governance and lifecycle management.
- Experience with cloud AI platforms such as Azure OpenAI, Azure AI Services, AWS Bedrock, and Google Vertex AI.
- Experience with modern AI frameworks and tools such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, and OpenAI frameworks.
- Strong programming experience with Python or other modern programming languages.
- Experience with data architecture, APIs, data pipelines, and enterprise system integration.
- Understanding of MLOps and LLMOps practices, including monitoring, evaluation, deployment, and governance.
- Ability to communicate complex technical concepts effectively with both technical and non-technical audiences.
- Define and execute AI architecture strategies, technical roadmaps, and modernization approaches aligned with organizational goals.
- Design scalable AI platforms and solutions leveraging Generative AI, Large Language Models, Retrieval-Augmented Generation, AI agents, machine learning, and automation capabilities.
- Architect intelligent AI systems that integrate models, data platforms, enterprise applications, and APIs.
- Develop architecture patterns and best practices for Large Language Model-based applications, agentic AI workflows, AI copilots and automation solutions, knowledge retrieval systems, and data-driven decision support.
- Design and evaluate Retrieval-Augmented Generation architectures, including data ingestion, embeddings, vector search, retrieval strategies, and model orchestration.
- Lead technical evaluations of emerging AI technologies, frameworks, and platforms.
- Guide teams in implementing AI solutions from proof of concept through production deployment.
- Establish AI governance practices supporting security, compliance, responsible AI, scalability, and operational excellence.
- Collaborate with software engineers, data scientists, product teams, and enterprise architects to deliver AI-enabled solutions.
- Provide technical leadership, mentorship, and guidance on AI architecture patterns and engineering best practices.
- Communicate complex AI concepts and recommendations to technical teams, business stakeholders, and executive leadership.
- Support innovation initiatives through prototypes, technical demonstrations, and AI transformation strategies.
- Experience supporting the Federal Government, healthcare, or other highly regulated environments.
- Experience designing secure AI solutions within enterprise environments.
- Experience with Kubernetes, containerized applications, cloud-native architectures, and modern DevOps practices.
- Experience with enterprise architecture frameworks such as TOGAF.
- Experience leading AI transformation initiatives from strategy through implementation.
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'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
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.