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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.
