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Senior AI​/ML Engineering Architect — TS​/SCI w​/Polygraph; Hybrid

Job in Northern, Floyd County, Kentucky, USA
Listing for: Finch AI
Full Time position
Listed on 2026-09-21
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR
Job Description & How to Apply Below

Find Your Next Exciting Career Opportunity With Finch AI

We create powerful AI solutions that transform how businesses operate and compete in the digital age.

Open Positions

Position:Senior AI/ML Engineering Architect — TS/SCI w/ Polygraph (Hybrid)

Location: Herndon, VA

Remote Status: Hybrid

Job :777

# of Openings:1

Senior AI/ML Engineering Architect — TS/SCI w/ Polygraph

Location:

Hybrid, Herndon, VA (Required)

Clearance:
Active TS/SCI w/ Polygraph

About Finch AI

Finch AI exists because you can't miss. We build AI-powered solutions that transform raw information into decisive action. We deliver accurate, trusted, real-time insights from data so that analysts, operators, and executives can understand risk and act with confidence, even when the data is massive, complex, and time-sensitive.

Our platform serves organizations across national security, research security, defense, finance, law enforcement, and legal sectors. We don't start with our technology — we start with your challenge. Our integrated approach combines a powerful platform, deep domain expertise, and the flexibility to meet customers where they are.

Finch AI holds 30+ patents and has had products deployed to government agencies for over 15 years. Our team spans former analysts, PhD data scientists & AI engineers, and commercial data specialists who have developed products and capabilities at some of the largest tech companies and agencies in the world.

Our culture:

We operate as a mission-flexible organization where integrity is at the center of everything we do. We value sharp questions, challenged assumptions, and cross-disciplinary collaboration. No bureaucracy stands between great ideas and real impact — ownership is trusted, expertise is shared freely, and the work genuinely matters.

We're looking for people who are energized by complex, high-stakes problems; who care about accuracy, transparency, and building technology people can trust; and who communicate with clarity and curiosity in a distributed environment. If that sounds like you, we'd love to talk.

The Role

The systems you'll build here are the engine behind that mission and in this role, they'll run in some of the most demanding environments in the federal government. You'll join the team building Finch AI's next generation of products, helping design and build systems behind them end to end — from design through production deployment in cleared customer environments and across the broader business.

As a technical leader in generative AI and large language models, you'll help set direction on how LLMs and SLMs are applied across the product line.

Responsibilities
  • Lead the evaluation, fine-tuning, and deployment of large language models (LLMs) and small language models (SLMs) in production applications.
  • Build AI-enabled applications using agentic AI, retrieval-augmented generation (RAG), and prompt engineering.
  • Design, develop, and evaluate machine learning models for text analytics — extraction, disambiguation, classification — including custom algorithm development where off-the-shelf approaches fall short.
  • Carry solution designs from proof of concept and prototype through to shipped features in existing products.
  • Collaborate with customer teams to deliver mission-aligned AI solutions within classified environments.
  • Partner with product teams and stakeholders in an Agile environment, communicating clearly with technical and non-technical audiences.
Requirements
  • Hands-on experience building and deploying LLM and SLM applications: agentic AI, RAG, prompt engineering, and fine-tuning.
  • Production experience with NLP systems for data classification, entity extraction, and information extraction, covering the full lifecycle — collecting and preparing training data, training supervised…
Position Requirements
10+ Years work experience
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