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.
Additional benefits include:
- 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.
Full-time employees have the option to participate in a variety of voluntary benefit plans including:
- 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
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.
$0 - $0 an hour
Pay Range: $ - $ per hour*
Hourly pay rates listed for this position serve as a general guideline and are not a guarantee of compensation. Compensation will vary dependent upon factors including but not limited to: Government contract rates; education; relevant prior work experience, knowledge, skills, and competencies; certifications, and geographic location. *Hourly pay rates reflect the pre-benefit gross wage amounts.
