Lead AI Architect, Strategist

This is a fully remote position, open to applicants in United States.

📋 Description

• Define and implement AI architecture strategies, technical roadmaps, and modernization approaches that align with organizational objectives.

• Create scalable AI platforms and solutions that utilize Generative AI, LLMs, RAG, AI agents, machine learning, and automation capabilities.

• Design intelligent AI systems that seamlessly integrate models, data platforms, enterprise applications, and APIs.

• Develop architectural patterns and best practices for LLM-based applications, Agentic AI workflows, AI copilots, automation solutions, knowledge retrieval systems, and data-driven decision support.

• Design and assess RAG architectures, which include data ingestion, embeddings, vector search, retrieval strategies, and model orchestration.

• Lead the technical evaluation of emerging AI technologies, frameworks, and platforms.

• Guide teams in implementing AI solutions from proof-of-concept to production deployment.

• Establish AI governance practices to support 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.

• Effectively communicate complex AI concepts and recommendations to technical teams, business stakeholders, and executive leadership.

• Foster innovation initiatives through prototypes, technical demonstrations, and AI transformation strategies.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related technical field.

• Over 10 years of experience in software engineering, enterprise architecture, solution architecture, data architecture, or technology transformation.

• More than 5 years of experience in designing and implementing AI/ML solutions, AI platforms, or intelligent automation solutions.

• Strong background in architecting enterprise-scale technology solutions and distributed systems.

• Proven expertise with Generative AI, Large Language Models (LLMs), and AI application architectures.

• Practical experience with AI concepts and technologies, including Retrieval-Augmented Generation (RAG), AI Agents / Agentic AI, prompt engineering, vector databases and embeddings, model orchestration, and AI governance and lifecycle management.

• Familiarity with cloud AI platforms such as Azure OpenAI / Azure AI Services, AWS Bedrock, and Google Vertex AI.

• Experience with contemporary AI frameworks and tools, including Lang Chain, Lang Graph, Llama Index, Semantic Kernel, and OpenAI frameworks.

• Proficient programming skills in Python or other modern programming languages.

• Background in data architecture, APIs, data pipelines, and enterprise system integration.

• Understanding of MLOps/LLMOps practices, including monitoring, evaluation, deployment, and governance.

• Ability to convey complex technical concepts effectively to both technical and non-technical audiences.

🏝️ Benefits

• The opportunity to support high-visibility federal missions.

• A culture that promotes 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.