Lead AI Architect, Strategist

🕒 July 29

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

LTS

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

LTS is a government-focused mission support and healthcare services firm that provides emergency response, occupational health, automated healthcare solutions, and enterprise consulting. It offers rapid nationwide deployment for disaster response, logistics and mass care, and delivers automated diagnostic kiosks, diagnostic lab testing, medical staffing, on-site clinics, and testing/vaccination management for underserved and remote populations. LTS also provides IT modernization, cloud and systems integration, cybersecurity and risk management, AI/ML and data analytics, and program management for federal, state, and local clients with strong compliance (HIPAA and federal standards) and public-sector acquisition experience.

📋 Description

• Define and execute AI architecture strategies, technical roadmaps, and modernization approaches aligned with organizational goals. • Design scalable AI platforms and solutions leveraging Generative AI, LLMs, RAG, 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: LLM-based applications, Agentic AI workflows, AI copilots and automation solutions, knowledge retrieval systems, data-driven decision support. • Design and evaluate RAG 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.

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, or related technical field. • 10+ years of experience in software engineering, enterprise architecture, solution architecture, data architecture, or technology transformation. • 5+ years of experience designing and implementing AI/ML 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 (LLMs), and AI application architectures. • Hands-on experience with AI concepts and technologies including Retrieval-Augmented Generation (RAG), AI Agents / Agentic AI, prompt engineering, vector databases and embeddings, model orchestration, AI governance and lifecycle management. • Experience with cloud AI platforms such as: Azure OpenAI / Azure AI Services, AWS Bedrock, Google Vertex AI. • Experience with modern AI frameworks and tools such as: Lang Chain, Lang Graph, Llama Index, Semantic Kernel, 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/LLMOps practices, including monitoring, evaluation, deployment, and governance. • Ability to communicate complex technical concepts effectively with both technical and non-technical audiences.

🏖️ Benefits

• The Opportunity to support high-visibility federal missions • A culture that values innovation, growth, and collaboration • Access to cutting-edge tools and technologies • Comprehensive benefits for you and your family • A career path that rewards ambition and performance