Lead AI/ML Engineer

Capital Technology Group
United States
Remote

Who this role is best for

Geared toward senior technical leaders comfortable with federal AI/ML initiatives and cloud-native development.

Best fit for

  • Candidates with 7–10 years of software or cloud engineering experience and a track record in federal projects
    — “7–10 years of professional experience in software engineering or cloud engineering experience.”
  • Individuals who have led AI/ML implementation in AWS and mentored junior engineers
    — “Experience deploying production AI/ML applications in enterprise environments.”
  • Professionals with a proven ability to communicate complex AI concepts to non-technical stakeholders
    — “Excellent communicator capable of translating complex technical concepts into actionable recommendations.”
  • Candidates with a passion for AI innovation in government and mission-driven work
    — “Passionate about applying AI to solve meaningful, real-world problems within the federal government.”

Things to consider

  • U.S. citizenship is mandatory, as the role requires Public Trust clearance.
    — “Applicants must be U.S. Citizens.”
  • The role demands a high level of technical versatility across AI, cloud, and security domains.
    — “Support AI/ML application development across development, operations, and security disciplines in cloud-native environments.”

How to stand out

  • Highlight experience with AWS, particularly SageMaker and Bedrock, in your resume and interview responses.
    — “Experience with AI/ML platforms and services including Amazon Bedrock, SageMaker, Hugging Face, Weights & Biases, or similar technologies.”
  • Demonstrate your ability to evaluate and prototype new AI/ML technologies in your portfolio or interview stories.
    — “Lead technical evaluations of emerging AI/ML technologies through prototypes, proof of concepts, and experimentation.”
  • Showcase your experience in communicating AI/ML results to both technical and business stakeholders.
    — “Analyze and communicate the benefits, tradeoffs, and implementation risks of new technologies to technical and business stakeholders.”
  • Emphasize your background in building and deploying production-ready AI/ML applications.
    — “Design, develop, and deploy production-ready AI/ML applications within AWS cloud environments.”
  • Demonstrate leadership experience in mentoring engineering teams or managing projects.
    — “Experience mentoring software engineers or machine learning engineers.”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Design and deployment of production-ready AI/ML applications
  • Mentoring engineering teams
  • Driving enterprise adoption of modern AI technologies
Typical background
Master's degree in Computer Science or related fieldExperience in leading technical evaluations of emerging AI/ML technologies

Skills & requirements

Required

Ai/mlCloud EngineeringAgile MethodologiesTechnical LeadershipMentorship

Preferred

AWSCybersecurity

Stack & domain

PythonReactLeadershipCommunicationFinanceHealthcare

About the role

Original posting from Capital Technology Group via Greenhouse

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.

Source: Capital Technology Group careers (Greenhouse)

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