---
title: 'Lead AI/ML Engineer at Capital Technology Group'
canonical: 'https://feeny.ai/job/lead-ai-ml-engineer-capital-technology-group-remote-b6gay34cg2f0'
type: 'job'
last_seen: '2026-10-18'
---

# Lead AI/ML Engineer at Capital Technology Group

- **Company:** Capital Technology Group
- **Location:** Remote
- **Work type:** remote
- **Posted:** 2026-10-09
- **Last confirmed live:** 2026-10-18
- **Apply:** https://boards.greenhouse.io/capitaltg/jobs/5262369007?gh_jid=5262369007

## Job description

Capital Technology Group provides expert consulting services software development, digital transformation, human-centered design, data analytics and visualization, and cybersecurity.

Our multidisciplinary teams use agile methodologies to rapidly and incrementally deliver value in close collaboration with our clients. For over a decade, we have been trusted by both federal and commercial clients to solve complex, mission-critical business challenges. The quality of our work has been recognized by our partners and peers through our inclusion in the Digital Services Coalition, a group of forward- thinking firms recognized for excellence in delivering IT services.

Client Requirements: applicants MUST BE US Citizens and be able to obtain Public Trust clearance

The CTG Experience

At Capital Technology Group (CTG), our teams are passionate about modernizing how the federal government delivers software. We partner with federal agencies to build secure, scalable, and mission-driven solutions that make a meaningful impact on millions of people. Recognized by The Washington Post as a Top Workplace in 2025 and 2026. CTG fosters a culture rooted in our core values. Our values guide how we work together and support one another, creating an environment where employees feel trusted, empowered, and encouraged to grow both personally and professionally.

## About the Role

CTG is seeking a Lead AI/ML Engineer to lead the design, evaluation, and implementation of cutting-edge artificial intelligence and machine learning solutions supporting high-impact federal initiatives. This role is ideal for a senior technical leader who thrives at the intersection of AI, cloud engineering, and innovation, helping drive enterprise adoption of emerging technologies while mentoring engineering teams and partnering directly with federal clients.

You Will Get To

- Lead technical evaluations of emerging AI/ML technologies through prototypes, proof of concepts, and experimentation.
- Analyze and communicate the benefits, tradeoffs, and implementation risks of new technologies to technical and business stakeholders.
- Design, develop, and deploy production-ready AI/ML applications within AWS cloud environments.
- Support AI/ML application development across development, operations, and security disciplines in cloud-native environments.
- Drive enterprise adoption of modern AI technologies and engineering best practices.
- Build, train, evaluate, and optimize machine learning models for production use cases.
- Collaborate directly with clients and cross-functional engineering teams to deliver mission-critical solutions.
- Provide technical leadership by mentoring engineers and supporting the professional growth of junior team members.
- Present technical findings, experiment results, and architectural recommendations to internal leadership and federal customers.

## Who You Are

- A technical leader who enjoys solving complex engineering and machine learning challenges.
- Passionate about applying AI to solve meaningful, real-world problems within the federal government.
- Comfortable leading technical discussions with engineers, architects, and executive stakeholders.
- Curious about emerging AI technologies and excited to evaluate new tools and platforms.
- A collaborative mentor who enjoys helping teams grow while driving technical excellence.
- An excellent communicator capable of translating complex technical concepts into actionable recommendations.

## Qualifications

- Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Information Systems, or a related technical field (or equivalent experience).
- 7–10 years of professional experience in software engineering or cloud engineering experience.
- At least 3 years of experience deploying production enterprise applications in AWS.
- At least 2 years of experience deploying production AI/ML applications in enterprise environments.
- Strong proficiency in Python.
- Experience with machine learning frameworks such as TensorFlow or PyTorch.
- Experience with AI/ML platforms and services including Amazon Bedrock, SageMaker, Hugging Face, Weights & Biases, or similar technologies.
- Strong data analysis and manipulation experience using pandas.
- Experience visualizing and presenting experiment results using tools such as matplotlib.
- Experience working within AWS cloud environments.
- Ability to quickly learn new technologies and contribute across multiple projects.
- Strong analytical, communication, and problem-solving skills.
- Comfortable presenting technical solutions to clients and executive stakeholders.

## Nice to Have

- Experience leading or managing engineering teams.
- Experience mentoring software engineers or machine learning engineers.
- Experience with Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), or AI agents.
- Experience deploying AI solutions using MLOps best practices.
- Experience with containerization technologies such as Docker and Kubernetes.
- Experience building CI/CD pipelines for AI/ML workloads.
- Familiarity with DevSecOps and secure software development practices.
- Experience supporting federal, highly regulated, or mission-critical environments.

Client Requirements

- Applicants must be U.S. Citizens.
- Ability to obtain a Public Trust clearance.

Salary

We are committed to offering a competitive salary for this position, with an estimated range of $180,000 to $230,000 annually. Please note that this range is intended to provide a general idea of what to expect. The final offer may vary based on experience, skills, and other factors.

Full Time Employee Benefits

- Remote Work (Hybrid roles will be specified in the job post)
- Competitive Compensation Package
- Medical, Dental, and Vision
- Life Insurance, Short/Long Term Disability
- Employee Assistance Program
- 401(k) with 4% matching
- Liberal PTO vacation policy
- Generous Annual Continuing Education
- Annual Wellness Budget
- Bonus Incentive Programs (Employee referrals and performance-based rewards)

Thanks for your interest in Capital Technology Group!

Capital Technology Group is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

## About Capital Technology Group

## Company Overview
- **One-liner**: Capital Technology Group (CTG) provides expert consulting services in software development, digital transformation, human-centered design, data analytics, and cybersecurity to federal and commercial clients.
- **Entity Type**: Private (Privately Held)
- **Headquarters**: Silver Spring, Maryland, United States
- **Founded**: 2010
- **Founders**: Toby Lazar (Co-Founder and Managing Principal)

## Core Business
- **Primary industries**: IT Services and IT Consulting; Federal Government Digital Services; Cybersecurity; Data Science & AI/ML
- **Target customers**: B2G (federal agencies such as USCIS, DHS) and select commercial clients
- **Mission / purpose**: To solve complex, mission-critical business challenges through agile methodologies, close client collaboration, and innovative technology solutions.

## Products & Services
CTG offers a suite of professional services, each delivered as a consulting engagement:
- **Information Security**: Enterprise authentication, multi-factor authorization, Zero Trust implementation, and threat detection.
- **Data Science & AI/ML**: Big data processing pipelines (Databricks, Spark, Kafka, Airflow) and data visualization to drive actionable insights.
- **Agentic AI**: Production-grade agentic AI with retrieval-augmented generation (RAG), tool-using assistants, and autonomous multi-agent workflows, built with governance and security.
- **DevSecOps**: Automated CI/CD pipelines, secure coding practices, and monitoring for reliable, scalable releases.
- **Digital Transformation**: Business Process Reengineering (BPR), legacy modernization, and cloud migration.

## Market Standing
- **Valuation / Market Cap**: Not publicly available
- **Key Metric**: Revenue not disclosed; total funding not disclosed (appears bootstrapped/organic growth)
- **Notable Investors / Partners**: Member of the Digital Services Coalition; clients include United States Citizenship and Immigration Services (USCIS) and Department of Homeland Security (DHS)
- **Growth Signals**: 84 employees as of mid-2025, with **+43.2% year-over-year headcount growth**; recognized as a **Top Workplace 2025** by The Washington Post based on employee feedback; 8 active job postings; expanding AI/ML and agentic AI capabilities

## Competitive Advantages
- **Deep federal expertise**: Over a decade of experience serving mission-critical government agencies with a track record of delivery.
- **Multidisciplinary team**: Combines software engineering, design, data science, and cybersecurity under one roof.
- **Agile & collaborative culture**: Emphasizes partnership, transparency, and continuous improvement, as reflected in their core values.
- **Recognized employer**: Washington Post Top Workplace 2025 award signals strong employee satisfaction and retention.

## Strategic Focus
- **Current priorities**: Scaling AI/ML and agentic AI offerings; continuing federal digital modernization; maintaining growth in headcount and capabilities.
- **Sustainability**: Aiming for net-zero impact by 2030, with Scope 2 emissions tracking in place.

## Why Work Here
- **Culture**: Collaborative, inclusive, and mission-driven with core values of excellence, humility, respect, and shared passion.
- **Remote / hybrid policy**: Not explicitly stated; roles appear to be based in the Washington, DC area (Silver Spring HQ) with flexibility likely depending on client needs.
- **Benefits**:
  - Comprehensive health insurance (medical, dental, vision)
  - 100% employer-paid short/long-term disability and life insurance
  - 401k with company match
  - Flexible time off + 10 federal holidays
  - Yearly wellness budget (up to $500)
  - Continuing education budget (books, classes, certifications, Codecademy subscription)
  - Generous equipment reimbursement
  - Employee Assistance Program (EAP)
  - $5,000 referral bonus
- **Engineering culture**: Agile, innovation-focused, with opportunities to work on cutting-edge technologies (AI/ML, DevSecOps, cloud). The interview process includes a technical challenge and a collaborative walkthrough.

## Sources
1. [capitaltg.com](https://www.capitaltg.com/) – Company overview and capabilities
2. [capitaltg.com/careers](https://www.capitaltg.com/careers) – Careers page with benefits and hiring process
3. [capitaltg.com/about](https://www.capitaltg.com/about) – About page, leadership, core values, sustainability
4. [linkedin.com/company/capitaltg](https://www.linkedin.com/company/capitaltg) – LinkedIn company profile, employee count, growth, open roles
5. [businesswire.com](https://www.businesswire.com/news/home/20250718053615/en/Capital-Technology-Group-Earns-Esteemed-Top-Workplace-2025-Honor-from-The-Washington-Post) – Top Workplace 2025 announcement

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