LEAD AI Engineer

Job

FutureTech Consultants LLC

Rockville, MD (In Person)

Full-Time

Posted 4 days ago (Updated 2 days ago) • Actively hiring

Expires 6/28/2026

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Job Description

Title:

Lead AI Engineer Location:

Rockville, MD or McLean, VA (Hybrid 3 days onsite with 2 days remote)

Duration:

12 Months Interview process: Prescreen, Phone, Onsite panel

Job Summary:

We are seeking a Lead AI Engineer to design and build an AI-powered compliance screening platform that evaluates communications for adherence to regulatory standards and industry guidelines. This is a high-impact role at the intersection of artificial intelligence, regulatory compliance, and risk management. The ideal candidate will lead the development of systems that analyze content across multiple formats, including PDFs, emails, social media, and video, and generate auditable, explainable compliance decisions. Education Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field PhD preferred but not required Experience 8 years of experience in software engineering, machine learning, or applied AI Proven track record of building and deploying production-grade AI/ML systems Experience in regulated industries such as finance, legal, or healthcare strongly preferred Technical Skills Strong expertise in natural language processing and large language models Hands-on experience with retrieval-augmented generation (RAG) Experience with model evaluation, benchmarking, and performance testing Familiarity with multimodal AI, including text, image, and layout understanding Tools and Frameworks Strong Python development experience Experience with LLM orchestration or agent frameworks such as LangChain or AWS Strands Experience with vector databases such as PGVector or Pinecone Familiarity with document processing pipelines, including OCR and PDF parsing tools Systems and Infrastructure Experience with cloud platforms such as AWS, Google Cloud Platform, or Azure Knowledge of MLOps, CI/CD pipelines, model monitoring, and deployment best practices Strong background in scalable system design and distributed architectures