Only locals to VA,MD,DC States
12+ years & Lead experience Mandatory
interview mode: 1st Video & 2nd round will be in person
Local candidates preferred
please share resume to jay@kmmtechnologies.com
Position: Lead AI Engineer
Location: Rockville, MD or Tysons, VA - Hybrid - Weekly 3 days onsite
Duration: Long Term
Description:
Lead AI Engineer – Compliance Screening Platform
About the Role
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. 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 Do
AI 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 content
Compliance Intelligence
-Translate regulatory frameworks into machine-interpretable logic
-Develop:
Rule classifiers (e.g., performance claims, disclosures)
Risk scoring models
Violation detection workflows
LLM & Model Strategy
-Evaluate LLMs that are specific for actions
-Implement:
Prompt engineering and tool usage
Fine-tuning strategies where appropriate
Guardrails and hallucination mitigation techniques
-Integrate multimodal models for charts, images, and disclosures
Explainability & Auditability
-Build systems that generate:
Clear, regulator-ready explanations
Evidence-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 reliability
Technical Leadership
Establish best practices for architecture, coding, and MLOps
Collaborate cross-functionally with compliance, legal, and product teams
Mentor a team of engineers on best AI/ML practices
Qualifications
Education
-Bachelor's or Master's degree in Computer Science, AI/ML, or related field
-PhD preferred but not required
Experience
-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 preferred
Technical 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 architectures
Compliance & 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 plus
Preferred 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)