AI Engineer Visa Sponsorship Jobs in Maryland

INTRODUCTION

Hybrid 3 days onsite / 2 days remote in Rockville, MD Our client seeks a Lead AI Engineer to design and deliver an AI-powered compliance screening platform for regulated communications across text and multimedia. The role will architect multimodal ingestion, retrieval-augmented generation, and LLM-driven reasoning with robust explainability and auditability. The engineer will set technical strategy, establish evaluation and risk controls, and mentor a team while collaborating with compliance, legal, and product stakeholders. The work will advance reliable compliance intelligence for financial use cases. We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $99.00 to $110.00/hr. w2 JN -052026-106906

Responsibilities

- Design and implement end-to-end AI pipelines for document ingestion across PDFs, HTML, images, audio, and video.
- Build multimodal extraction using OCR, layout parsing, and vision-language models.
- Develop LLM-driven compliance reasoning and scalable RAG grounded in regulatory content.
- Translate regulatory frameworks into machine-interpretable logic.
- Create rule classifiers, risk scoring models, and violation detection workflows.
- Evaluate LLMs for action-specific tasks and implement prompt engineering and tool usage.
- Apply fine-tuning strategies, guardrails, and hallucination mitigation techniques.
- Integrate multimodal models for charts, images, and disclosures.
- Deliver explainable, regulator-ready outputs with evidence-backed decisions and linked text spans.
- Ensure full audit trails for all AI decisions and outputs.
- Define and track precision, recall, and false-negative metrics with human-in-the-loop reviews.
- Conduct adversarial and edge-case testing to improve reliability.
- Establish best practices for architecture, coding standards, and MLOps.
- Collaborate with compliance, legal, and product teams.
- Mentor engineers on AI and ML best practices.

EXPERIENCE REQUIREMENTS

- 8+ years in software engineering or machine learning with production AI/ML delivery.
- Experience in regulated industries such as finance, legal, or healthcare.
- Strong expertise in NLP and large language models.
- Hands-on experience with retrieval-augmented generation.
- Proficiency in model evaluation and benchmarking, including LLM-specific evaluation.
- Familiarity with multimodal AI across text, image, and layout.
- Proficiency in Python and LLM orchestration or agent frameworks such as LangChain or AWS Strands.
- Experience with vector databases such as PG Vector or Pinecone.
- Background in document processing pipelines, including OCR and PDF parsing.
- Experience with cloud platforms such as AWS, GCP, or Azure.
- MLOps, CI/CD, model monitoring, and scalable distributed system design.
- Experience with explainable AI and understanding of auditability and governance requirements.
- Exposure to industry regulations and compliance frameworks (preferred).
- Experience building legal or compliance-focused AI systems (preferred).
- Familiarity with marketing or advertising review processes (preferred).
- Experience analyzing structured and unstructured documents, including charts and disclosures (preferred).
- Background in hybrid AI systems combining rules and machine learning (preferred).

EDUCATION REQUIREMENTS

- Bachelor's or Master's degree in Computer Science, AI/ML, or related field.
- PhD preferred but not required.