Lead AI Engineer Compliance Screening Platform

SGA Inc.

Rockville, MD

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JOB DETAILS

SALARY

$100–$102 Per Hour

SKILLS

Adobe Acrobat, Advertising, Amazon Web Services (AWS), Artificial Intelligence (AI), Benchmarking, Best Practices, Cloud Computing, Computer Science, Continuous Deployment/Delivery, Continuous Improvement, Continuous Integration, Cross-Functional, Customer Support/Service, Ecosystems, Finance, GCP (Good Clinical Practices), Genetics, Healthcare, Industry Standards, Legal, Machine Learning, Maintain Compliance, Marketing, Mentoring, Metrics, Microsoft Windows Azure, Modeling Languages, Natural Language Processing (NLP), Performance Management, Performance Modeling, Problem Solving Skills, Python Programming/Scripting Language, Regulations, Regulatory Compliance, Risk Management, Risk Modeling, Scalable System Development, Social Media, Software Engineering, Staff Development, Systems Analysis, Systems Scalability, Technical Leadership, Test Case

LOCATION

Rockville, MD

POSTED

8 days ago

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:
- LangChain, AWS Strands
Vector databases (e.g., PG Vector, Pinecone)
Document processing pipelines (OCR, PDF parsing tools)
Cloud platforms (AWS, GCP, 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 https://sgainc.com/ .

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 EEO page to request an accommodation or assistance regarding our policy.

About the Company

SGA Inc.

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