Strategic AI Architect & Platform Lead

LTS; United States; Remote; USD 160,000 - 210,000; Full time

Benefits offered by this job

Comprehensive benefits

Cutting-edge tools and technologies

High-visibility federal mission work

Job summary

LTS is hiring a Lead AI Architect / Strategist to define and lead architecture, strategy, and implementation of next‑generation AI solutions. You will drive enterprise AI transformation by designing scalable AI platforms, enabling Generative AI capabilities, and guiding LLM, RAG, AI agents, and analytics initiatives.

The role requires deep expertise in AI architecture, cloud platforms, data transformation, and cross‑functional collaboration to deliver measurable business value.

Qualifications

• 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.
• 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.

Responsibilities

• 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.

Skills

Generative AI

LLMs

RAG

AI Agents / Agentic AI

prompt engineering

vector databases & embeddings

model orchestration

AI governance & lifecycle management

Python

APIs / data pipelines

Education

Bachelor’s degree in Computer Science / Information Technology / Engineering / Data Science

Tools

Azure OpenAI

Azure AI Services

AWS Bedrock

Google Vertex AI

Lang Chain

Lang Graph

Llama Index

Semantic Kernel

OpenAI frameworks

Job description

LTS is hiring a Lead AI Architect / Strategist to define and lead architecture, strategy, and implementation of next‑generation AI solutions. You will drive enterprise AI transformation by designing scalable AI platforms, enabling Generative AI capabilities, and guiding LLM, RAG, AI agents, and analytics initiatives.

The role requires deep expertise in AI architecture, cloud platforms, data transformation, and cross‑functional collaboration to deliver measurable business value.