The Role
Designs and implements AI/ML capabilities for intelligence workflows, including LLM-powered solutions, agentic automation, and hybrid systems. Works with mission users to map operational processes, identify decision points, and translate requirements into executable capabilities. Integrates AI systems with APIs, data stores, and mission platforms while ensuring reliable production performance and compliance with classified-environment security and governance requirements.
Summary Generated by Built In
At Wyetech, you’ll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry.
Intelligence analysts rely on multi step workflows that are time sensitive, detail rich, and critical to national security. As an Artificial Intelligence/Machine Learning Engineer with Wyetech, you will work directly with mission users to capture these workflows, document operational decision points, and translate them into effective Al enabled capabilities.
You will design and implement solutions that may include LLM powered workflows, agent based automation, or hybrid approaches depending on mission needs. Your work will streamline analytical tasks, improve data accessibility, and support rapid, informed decision making in high tempo environments.
You'll collaborate with operators, analysts, developers, and mission leadership to ensure solutions integrate cleanly with existing systems, perform reliably in production, and adhere to the security and governance expectations of classified environments.
Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph).
Required Qualifications
- TS/SCI with agency appropriate poly
- Bachelor's degree and 14 years of experience with 3+ years of experience in Al/ML engineering, data science, or software engineering within cyber, intelligence, or national security environments
Required Technical Skills
- Experience capturing user workflows and translating them into structured process maps, automation requirements, or executable logic
- Experience designing or implementing LLM based or agentic workflows, including multi step reasoning, tool integrations, and orchestration
- Experience integrating Al systems with APIs, enterprise data stores, or mission platforms
- Experience with programming languages such as Python
Desired Technical Skills
- Experience engineering Al capabilities in on premise or multi classification environments
- Experience with AWS or Azure, including work in restricted or classified environments
- Experience with AI/LLM development framework such as LangChain, LangGraph, PydanticAl, or CrewAl
- Experience with ML frameworks such as PyTorch, TensorFlow, VLLM, or llama.cpp
- Experience with cyber or intelligence workflows, operational data types, or mission oriented analytical processes
- Master's degree in Al, ML, Data Science, Cybersecurity, or Engineering
The Benefits Package
- Wyetech believes in generously supporting employees as they prepare for retirement. The company automatically contributes 20% of each employee's gross compensation to a Simplified Employee Pension (SEP) IRA, with no requirement for employee matching. All contributions are fully vested from day one, ensuring immediate ownership of retirement funds.
- Wyetech provides a generous PTO plan of up to 200 hours annually, aligned with applicable state leave regulations. Employees have the flexibility to adjust their PTO allocation at the start of each calendar year, ensuring it meets their evolving needs.
- A Choice of Medical Plan Options, some with Health Savings Account (HSA)
- Vision and Dental
- Life and AD&D Benefits
- Short and Long-Term Disability
- Hospital Indemnity, Accident, and Critical Illness Insurances
- Optional Identity Theft and Legal Protection Services
Additional benefits include:
Full-time employees have the option to participate in a variety of voluntary benefit plans including:
Company Environment & Perks
- Employee Referral Bonus Eligibility up to $10,000
- Mobility Among Wyetech-supported Contracts
- Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS
- Various team-building events throughout the year such as: monthly lunches, summer company picnic, and an annual holiday party.
- Employees receive two complementary branded clothing orders annually.
Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Affirmative Action Statement:
Wyetech, LLC is committed to the principles of affirmative action in all hiring and employment for minorities, women, individuals with disabilities, and protected veterans.
Accommodations:
Wyetech, LLC is committed to providing an inclusive and accessible hiring process. If you need any accommodations during the application or interview process, please contact Brittney Wood. at 844-WYETECH x727 or [email protected]. We are happy to provide reasonable accommodations to ensure equal access to all candidates.
Skills Required
- United States citizenship
- Active TS/SCI security clearance with agency-appropriate polygraph
- Bachelor's degree
- 14 years of experience
- At least 3 years of experience in AI/ML engineering, data science, or software engineering within cyber, intelligence, or national security environments
- Experience capturing user workflows and translating them into process maps, automation requirements, or executable logic
- Experience designing or implementing LLM-based or agentic workflows
- Experience integrating AI systems with APIs, enterprise data stores, or mission platforms
- Programming experience with Python
- Experience engineering AI capabilities in on-premise or multi-classification environments
- Experience with AWS or Azure in restricted or classified environments
- Experience with LangChain, LangGraph, PydanticAI, or CrewAI
- Experience with PyTorch, TensorFlow, vLLM, or llama.cpp
- Experience with cyber or intelligence workflows and mission-oriented analytical processes
- Master's degree in AI, ML, Data Science, Cybersecurity, or Engineering
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The Company
What We Do
Wyetech offers quality engineering services in the fields of Software Engineering, Systems Engineering, Cloud Engineering, Data Analysis, and Cyber Security to federal and commercial customers. Wyetech has qualified employees in a broad spectrum of engineering disciplines; however, it is our quality that sets us apart from the rest. Candidates are internal referrals and are thoroughly scrutinized. The result of this has been tremendous, our customers recognize the level of quality and professionalism that Wyetech staff offer. Wyetech is always seeking new quality engineering talent. Please refer to our website for inquries and applications.
