Software Guidance & Assistance, Inc., (SGA), is searching for a
Lead AI Engineer - Compliance Screening Platform for a
CONTRACT assignment with one of our premier
Regulatory clients in
Rockville, MD or Tysons, VA. 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.
Responsibilities :
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
Required Skills :
- Bachelor's or Master's degree in Computer Science, AI/ML, or related field
- 8+ years of experience in software engineering or machine learning
- Proven track record of building and deploying production AI/ML systems
- 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)
- Python ecosystem
- Experience with LLM orchestration or agent frameworks such as:
- Vector databases (e.g., PG Vector, Pinecone)
- Document processing pipelines (OCR, PDF parsing tools)
- Cloud platforms (AWS, Google Cloud Platform, or Azure)
- MLOps, CI/CD pipelines, and model monitoring
- Scalable system design and distributed architectures
- Experience with explainable AI (XAI)
- Understanding of auditability and governance requirements
- Exposure to industry regulations and compliance frameworks is a strong plus
Preferred Skills :
- PhD preferred but not required
- Experience in regulated industries (finance, legal, healthcare) strongly preferred
- 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)
SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at .
SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company to request an accommodation or assistance regarding our policy.
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