Lead AI/ML Engineer New

Capital Technology Group; Northern (KY); Hybrid; USD 180,000 - 230,000; Full time

Benefits offered by this job

Remote work

Medical insurance

Dental insurance

Vision insurance

Life insurance

Disability

401(k) matching

PTO

Education budget

Wellness budget

Bonus program

Job summary

Capital Technology Group is seeking a Lead AI/ML Engineer to guide design, evaluation, and deployment of AI/ML solutions for federal initiatives. This role leads senior technical teams, mentors engineers, and partners directly with federal clients to drive enterprise adoption of emerging technologies in AWS cloud environments.

You will own production ML workflows, collaborate across security and operations, and present findings to leadership while shaping strategic AI roadmaps to deliver

Qualifications

• Bachelor's degree in CS, Data Science, Engineering, Mathematics or related field.
• 7–10 years of professional software or cloud engineering experience.
• At least 3 years deploying production enterprise apps in AWS.
• At least 2 years deploying production AI/ML in enterprise environments.
• Strong proficiency in Python.
• Experience with TensorFlow or PyTorch.
• Experience with AI/ML platforms including Amazon Bedrock, SageMaker, Hugging Face, Weights & Biases.
• Strong data analysis with pandas.
• Experience visualizing with matplotlib.
• Experience working within AWS cloud environments.
• Ability to learn new technologies quickly.
• Strong analytical and communication skills.
• Comfortable presenting solutions to clients and executives.

Responsibilities

• Lead evaluations of emerging AI/ML technologies through prototypes and experiments.
• Communicate benefits, tradeoffs, and risks to stakeholders.
• Design, develop, and deploy production‑ready AI/ML apps in AWS.
• Support AI/ML application development across development, operations, and security teams.
• Drive enterprise adoption of modern AI technologies and best practices.
• Build, train, evaluate, and optimize ML models for production use cases.
• Collaborate with clients and cross‑functional engineering teams.
• Mentor engineers and support professional growth.
• Present technical findings and architectural recommendations to leadership.

Skills

Python

TensorFlow

PyTorch

AWS

Pandas

Matplotlib

Machine Learning

Cloud architecture

Leadership

Communication

Education

Bachelor's degree in CS/Engineering/Data Science

Tools

Docker

Kubernetes

SageMaker

Bedrock

Weights & Biases

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 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.

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.