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How much do part time generative ai engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for part time generative ai engineer in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.

What is a part time generative AI engineer?

A Part Time Generative AI Engineer is a professional who works on developing, implementing, or maintaining artificial intelligence models that can generate content such as text, images, or audio, but in a part-time capacity. Their work often involves building or fine-tuning machine learning models, collaborating with data scientists, and integrating AI solutions into products. Part-time roles usually offer flexible schedules, making them suitable for students, freelancers, or those seeking work-life balance. These engineers typically have skills in programming languages like Python, experience with machine learning frameworks, and a strong understanding of AI concepts.

What are the key skills and qualifications needed to thrive as a part time generative AI engineer?

A Part Time Generative AI Engineer needs strong programming skills (Python, PyTorch/TensorFlow), a background in machine learning, and a relevant degree in computer science or a related field. Experience with AI frameworks, cloud computing platforms (like AWS or GCP), and familiarity with model deployment tools are typically required. Creativity, problem-solving, and effective communication help individuals excel in this collaborative and rapidly evolving field. These abilities ensure the engineer can design, implement, and optimize generative AI models while efficiently managing part-time project commitments.

How do part time generative AI engineers typically balance project responsibilities and collaboration with full-time team members?

Part-time Generative AI Engineers often work on focused tasks or specific project modules, which allows them to contribute meaningfully without being overwhelmed by the broader scope. They usually coordinate with full-time team members through regular check-ins, agile sprint meetings, or asynchronous communication tools to stay aligned on project goals and timelines. Clear documentation, well-defined deliverables, and proactive communication are key to ensuring smooth collaboration and integration of their work. This structure also provides flexibility while maintaining accountability and progress.
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Part Time Generative Ai Engineer jobs near you
Infographic showing various Part Time Generative Ai Engineer job openings in the United States as of September 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $115,864 per year, or $55.7 per hour.

AI/ML Engineer, Senior

Alexandria, VA • On-site

Booz Allen Hamilton, Inc.
IT Services • 10K+ employees
Learn more about Booz Allen Hamilton, Inc.external

$99K - $225K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 29 days ago

Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

Job description


Remote Work:
No
Job Number:
R0246859
Location:
Alexandria,VA,US
Share job via:
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Additional Locations:
  • Dayton, Ohio, USA
  • Springfield, Virginia, USA

AI/ML Engineer, Senior
The Opportunity:
As a Senior Artificial Intelligence and Machine Learning (AI/ML) Engineer, you will design, build, and deploy advanced AI/ML solutions that modernize mission systems and accelerate decision-making across the national security ecosystem. You will contribute end-to-end, spanning data processing, model development, MLOps, and integration of scalable AI capabilities into operational environments.
Your work will leverage deep experience with ML-based NLP, LLMs and generative AI, computer vision, and modern software engineering practices, consistent with the company's AI/ML engineering role definitions. You will partner closely with cross-functional engineering, mission SMEs, and product teams to deliver production-grade systems aligned with Booz Allen's AI modernization approaches.
What You'll Work On:
  • Design, develop, and implement AI/ML models, including NLP, LLM-based pipelines, deep learning architectures, and computer vision models, aligned to mission requirements.
  • Build and optimize scalable data pipelines to support training, evaluation, and continuous improvement of models.
  • Develop end-to-end production systems, including microservices, APIs, automation frameworks, and cloud-native or edge-deployed AI services.
  • Integrate AI/ML capabilities into operational environments with attention to security, reliability, observability, and performance.
  • Conduct model optimization, tuning, versioning, and AB testing to ensure robust mission impact.
  • Apply modern software engineering patterns, including Python, Java, Scala, and Rust, microservices, and distributed systems, as consistent with Booz Allen's AI/ML engineering frameworks.
  • Collaborate with multi-disciplinary teams to identify mission needs, gather requirements, and define technical approaches.
  • Prepare technical documentation, contribute to design reviews, and support customer-driven requirements.

Join us. The world can't wait.
You Have:
  • 5+ years of experience developing ML models such as NLP or LLM, CV, deep learning, generative AI, or reinforcement learning
  • Experience developing AI/ML capabilities to operate in a microservice stack
  • Experience developing or maintaining production-grade APIs, microservices, or distributed systems
  • Experience with data processing frameworks and scientific computing libraries such as NumPy, Pandas, PyTorch, TensorFlow, or scikit-learn
  • Experience designing, configuring, or deploying software systems in operational environments
  • Active TS/SCI clearance; willingness to take a polygraph exam
  • Bachelor's degree in a STEM field

Nice If You Have:
  • Experience in GPU programming, including CUDA or RAPIDs
  • Experience with AWS and containerization of models in a classified environment
  • Experience with LLM orchestration, RAG pipelines, grounding, or hallucination-mitigation workflows
  • Experience with MLOps platforms, distributed training, or hybrid cloud environments such as AWS, Azure, and GCP
  • Experience with automated testing tools and model evaluation frameworks
  • Experience with CI/CD tooling, source control such as GitLab, and containerization technologies such as Docker, Podman, or Kubernetes
  • Master's degree in CS, AI Engineering, ML Engineering, Data Science, or a STEM field
  • AI/ML, Cloud, or Solution Architecture Industry Certifications

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
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 interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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