Lead AI Engineer

Only locals to VA,MD,DC States12+ years & Lead experience Mandatoryinterview mode: 1st Video & 2nd round will be in personLocal candidates preferredplease share resume to Position: Lead AI EngineerLocation: Rockville, MD or Tysons, VA - Hybrid - Weekly 3 days onsiteDuration: Long TermDescription:Lead AI Engineer – Compliance Screening PlatformAbout the RoleWe 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. You will lead the development of systems that analyze content across formats (PDFs, emails, social media, video) and generate auditable, explainable compliance decisions.What You'll DoAI System Architecture-Design and implement end-to-end pipelines for:Document ingestion (PDF, HTML, images, video/audio)Multimodal extraction (OCR, layout parsing, vision-language models)LLM-driven compliance reasoning-Build scalable retrieval-augmented generation (RAG) systems grounded in regulatory contentCompliance Intelligence-Translate regulatory frameworks into machine-interpretable logic-Develop:Rule classifiers (e.g., performance claims, disclosures)Risk scoring modelsViolation detection workflowsLLM & Model Strategy-Evaluate LLMs that are specific for actions-Implement:Prompt engineering and tool usageFine-tuning strategies where appropriateGuardrails and hallucination mitigation techniques-Integrate multimodal models for charts, images, and disclosuresExplainability & Auditability-Build systems that generate:Clear, regulator-ready explanationsEvidence-backed decisions (text spans linked to rules)-Ensure full audit trails for all AI-driven outputs-Expert-level understanding of LLM evaluation frameworks (deepeval preferred)Evaluation & Risk Management-Define and track key metrics (precision, recall, false negatives)-Implement human-in-the-loop review workflows-Conduct adversarial and edge-case testing-Continuously improve model performance and reliabilityTechnical LeadershipEstablish best practices for architecture, coding, and MLOpsCollaborate cross-functionally with compliance, legal, and product teamsMentor a team of engineers on best AI/ML practicesQualificationsEducation-Bachelor's or Master's degree in Computer Science, AI/ML, or related field-PhD preferred but not requiredExperience-8+ years of experience in software engineering or machine learning-Proven track record of building and deploying production AI/ML systems-Experience in regulated industries (finance, legal, healthcare) strongly preferredTechnical Skills-AI / Machine Learning-Strong expertise in:NLP and large language models (LLMs)Retrieval-augmented generation (RAG)Model evaluation and benchmarking-Familiarity with multimodal AI (text + image + layout)Tools & Frameworks-Python ecosystem-Experience with LLM orchestration or agent frameworks such as:LangChain, AWS Strands-Vector databases (e.g., PG Vector, Pinecone)-Document processing pipelines (OCR, PDF parsing tools)Systems & Infrastructure-Cloud platforms (AWS, GCP, or Azure)-MLOps, CI/CD pipelines, and model monitoring-Scalable system design and distributed architecturesCompliance & Risk Awareness (Highly Desired)-Experience with explainable AI (XAI)-Understanding of auditability and governance requirements-Exposure to industry regulations and compliance frameworks is a strong plusPreferred Qualifications-Experience building legal or compliance-focused AI systems-Familiarity with marketing/advertising review processes-Experience analyzing structured and unstructured documents (including charts and disclosures)-Background in hybrid AI systems (rules + machine learning)