Lead AI Engineer – Compliance Screening Platform Job McLean area,Virginia USA,Software Development

Lead AI Engineer – Compliance Screening Platform

Software Guidance & Assistance, Inc., (SGA), is searching for a Lead AI Engineer 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 (PDFs, 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

Rule classifiers (e.g., performance claims, disclosures)
Risk scoring models
Violation detection workflows

LLM & Model Strategy

Evaluate LLMs that are specific for actions

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:

Lang Chain, 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.