Senior AI Engineer (SWE3)

Wyetech is seeking a motivated Senior AI Engineer (SWE3) to support the AI and Emerging Technologies (AI&ET) mission. The ideal candidate will have a strong software engineering background and expertise in Artificial Intelligence/Machine Learning (AI/ML) technologies. This position focuses on developing and integrating AI-driven solutions, including Large Language Models (LLMs), to enhance vulnerability identification, mitigation capabilities, and certification processes within secure mission environments.

Required Skills/Experience:

• Strong proficiency in Python, AI/ML development, LLM integration, and data engineering.

• Experience developing, fine-tuning, and integrating Large Language Models to support mission-specific analytical capabilities.

• Experience designing and maintaining LLM orchestration frameworks integrating static analyzers, retrieval-augmented generation (RAG), and automated testing pipelines.

• Experience developing data preprocessing pipelines to ingest, clean, transform, and vectorize source code, documentation, and testing artifacts.

• Proficiency with relational and vector databases supporting RAG architectures, artifact storage, metadata management, and audit trails.

• Experience designing, deploying, and optimizing AI-powered applications and networked tools within secure environments.

• Understanding of software performance profiling, optimization, scalability, and system integration.

• Familiarity with Agile development methodologies, Git, Jira, and Confluence.

• Ability to collaborate with mission stakeholders, technical leadership, and systems engineers to develop requirements and support security assessments and Authority to Operate (ATO) processes.

Desirable Skills:

• Familiarity with Rust programming.

• Experience with AI-assisted development tools such as Claude Code and Codex.

• Familiarity with Continuous Integration/Continuous Deployment (CI/CD) pipelines.

• Formal or informal technical leadership experience.

The Software Engineer shall analyze, design, verify, validate, implement, apply, and maintain software systems. Appropriately apply discrete mathematics, probability, statistics, and other relevant computer science principles to complex software systems. Generalize techniques across multiple domains, develop appropriate documentation and training, and present technical briefings and demonstrations to stakeholders.

Capabilities:

(U) Analyze, design, verify, validate, implement, and maintain complex software systems supporting AI/ML mission requirements.

(U) Design and develop LLM orchestration frameworks, RAG architectures, and AI-driven analytical tools.

(U) Develop and optimize data engineering pipelines, database solutions, and automated testing capabilities.

(U) Integrate AI/ML technologies with software analysis tools to enhance vulnerability identification and mitigation.

(U) Collaborate with systems engineers to deploy secure, scalable AI solutions and support security assessments and ATO requirements.

(U) Develop technical documentation, provide training, and present briefings and demonstrations to stakeholders.

Qualifications:

Candidates must meet one (1) of the following education and experience combinations:

• Bachelor's degree in Computer Science or a qualifying related discipline plus eight (8) years of relevant experience.

• Master's degree in Computer Science or a qualifying related discipline plus six (6) years of relevant experience.

• Doctoral degree in Computer Science or a qualifying related discipline plus four (4) years of relevant experience.

• Associate's degree in Computer Science or a qualifying related discipline plus ten (10) years of relevant experience may be considered for individuals with in-depth, directly related experience.

Degree requirements:

• Degree must be in Computer Science or a qualifying related discipline.

• Related degrees, including Engineering and Mathematics, may be considered if coursework includes foundational Computer Science subjects: algorithms, computer architecture (not network architecture), programming methodologies and languages, data structures, logic and computation, and advanced mathematics.

• Information Technology or Information Systems degrees may be considered if coursework is equivalent in amount and type to a Computer Science major.

Relevant experience must include software development and programming, including requirements analysis, software design, implementation, testing, integration, deployment/installation, and maintenance.

Formal or informal leadership experience is preferred.

• Security Clearance: Active TS/SCI with Fullscope Polygraph required.

• Citizenship: United States Citizenship required.

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.

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

• 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 complimentary branded clothing orders annually.

Hourly Pay Range: $93.48–$126.58

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.