15d ago

Agentic AI Engineer

Any LocationRemotemid

OtherAgentic Ai Engineer

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Quick Summary

Key Responsibilities

Candidates will be evaluated for one of the following levels: Senior AI Engineer: 5+ years of hands‑on AI development experience.

Requirements Summary

Skills:Agentic AI, Artificial Intelligence (AI), Data Science, Higher Mathematics,

Technical Tools

OtherAgentic Ai Engineer

Pipeline

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

MBI (T2)

Job Family:

Data Science and Data Engineering

Requirements

~1 min read

Ability to obtain and maintain a Public Trust clearance and successfully pass a thorough Government background screening process requiring the completion of detailed forms and fingerprinting.
This position has a U.S. residency requirement. The USPS security clearance process requires the selected candidate to have resided in the U.S. (including U.S. Territories) for the last five years as follows: U.S. Citizens cannot have left the U.S. (including U.S. Territories) for longer than 6 months consecutively in the last 3 years (unless they meet certain exceptions). Non-U.S. Citizens cannot have left the U.S. (including U.S. Territories) for longer than 90 days consecutively in the last 3 years.

Agentic AI, Artificial Intelligence (AI), Data Science, Higher Mathematics, Machine Learning (ML)

None

5 + years of related experience

Job Description:

Own your opportunity to shape the future of AI at GDIT
As an Agentic AI Engineer supporting the mission of the United States Postal Service (USPS), you will design, develop, and deploy AI solutions that modernize and optimize essential nationwide operations. Your work will directly contribute to improved efficiency, automated processes, and data‑driven decision making across a high‑impact federal environment.

Design and develop autonomous AI agents capable of reasoning, planning, and executing multi‑step workflows.
Create agent‑based architectures using orchestration frameworks such as LangChain, AutoGen, and similar technologies.
Build modular APIs, integrations, tools, and memory management capabilities, including vector database integration, to support intelligent agent operations.
Integrate AI solutions with existing enterprise automation frameworks to reduce manual effort and enhance operational quality.
Identify opportunities for AI‑enabled automation, operational efficiencies, productivity improvements, and modernization across USPS workflows.

Demonstrate ability to design, build, train, deploy, integrate, and maintain machine learning and LLM‑based solutions.
Develop AI‑enabled automation solutions that improve business processes and support SDLC activities including coding, testing, debugging, deployment, and operational support.
Build tools that automate requirements and test case generation using Visual Studio Code, Python, Microsoft Copilot, CrewAI, or other USPS‑approved platforms.
Provide actionable recommendations, solution strategies, and operational insights to improve organizational performance and mission outcomes.

Implement MLOps practices, CI/CD pipelines, containerization technologies, and scalable deployment environments to support enterprise AI operations.
Establish evaluation and testing pipelines to measure AI accuracy, reliability, performance, scalability, and operational effectiveness.
Provide deep AI technical expertise to troubleshoot, diagnose, optimize, and maintain advanced AI systems, machine learning models, and production AI environments.
Optimize AI model performance, scalability, efficiency, and accuracy using tools such as PyTorch and TensorFlow.

Ensure data quality, integrity, governance, and security for AI model training, evaluation, deployment, and sustainment.
Support the collection, preprocessing, analysis, visualization, and reporting of largescale structured and structured datasets.
Develop dashboards, reports, predictive analytics, and executive‑level visualizations to support decision‑making and operational planning.

Develop and implement AI governance frameworks, policies, security controls, ethical AI standards, transparency mechanisms, and compliance processes.
Ensure compliance with cybersecurity, privacy, regulatory, and organizational requirements applicable to AI systems and enterprise environments.
Monitor, assess, and mitigate risks associated with AI deployment, automation, and enterprise integration.
Support executive leadership with AI strategic advisory services, roadmap development, assessments, briefings, and stakeholder engagement.

Evaluate opportunities to embed AI across enterprise workflows and design solutions aligned with USPS mission needs.
Collaborate with CIO leadership, technical teams, program offices, and business stakeholders to support AI adoption, integration, and enterprise modernization.
Translate technical AI concepts into business‑focused recommendations and operational outcomes.
Provide technical training, mentoring, workshops, documentation, and knowledge transfer to support workforce readiness and sustainability.
Train designated team members to maintain and operate AI‑driven tools and scripts.
Support continuous improvement initiatives related to AI performance, governance, operational effectiveness, emerging technologies, and enterprise AI adoption.
Provide ongoing operational and technical support for deployed AI capabilities, including monitoring, maintenance, troubleshooting, optimization, retraining, and lifecycle management.

Bachelor’s degree in a related field with strong mathematics; or an additional four years of relevant professional experience in lieu of a degree.

Senior AI Engineer: 5+ years of hands‑on AI development experience.
Principal AI Engineer: 8+ years of experience leading or delivering AI, automation, or software development projects.

Proven experience contributing to or leading AI/automation initiatives.
Experience in analytics, data‑driven environments, or team leadership roles is highly desirable.
Strong agentic AI experience with agent frameworks, orchestration tools, and automation workflows.
Experience working across the infrastructure plane to ensure AI systems operate reliably within enterprise environments.
Strong mathematical foundation in algebra, statistics, calculus, or related fields applied to AI/ML model development.
Hands‑on experience developing, training, and evaluating AI/ML models.
Experience optimizing model performance, scalability, or efficiency.
Practical experience applying machine learning to real‑world business or operational challenges.

Remote

At GDIT, the mission is our purpose, and our people are at the center of everything we do.

Growth: AI-powered career tool that identifies career steps and learning opportunities
Support: An internal mobility team focused on helping you achieve your career goals
Rewards: Comprehensive benefits and wellness packages, 401K with company match, competitive pay and paid time off
Community: Award-winning culture of innovation and a military-friendly workplace

Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.

#zxc726

The likely salary range for this position is $111,155 - $150,385. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

Less than 10%

Remote

Work Location:

Any Location / Remote

Additional Work Locations:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.

Join our Talent Community to stay up to date on our career opportunities and events at

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Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans