Principal Artificial Intelligence Engineer
| Company | Govini |
|---|---|
| Location | Pittsburgh, PA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Master’s |
| Experience Level | Senior, Expert or higher |
Requirements
- Master’s degree or higher in Computer Science, Machine Learning, Artificial Intelligence, or related technical field
- 8+ years of experience in data science or software engineering with at least 5 years focused on AI/ML systems development
- Extensive experience building and deploying production ML systems within Kubernetes-based AWS environments
- Extensive experience building and deploying production generative AI solutions into software products
- Strong programming skills in Python and proficiency with modern AI/ML frameworks (TensorFlow, PyTorch, Hugging Face)
- Deep understanding of large language models (LLMs), transformer architectures, and generative AI techniques
- Experience with ML Ops tools and practices to support the full lifecycle of AI systems
- Proven track record implementing data processing pipelines that handle large-scale, complex datasets
- Strong system design skills with experience in distributed systems and microservices architecture
- Demonstrated expertise in implementing AI solutions that meet stringent security requirements
- Excellent communication skills with the ability to explain complex technical concepts to diverse stakeholders, including non-technical defense professionals
Responsibilities
- Architect and design scalable, production-grade AI/ML solutions within our AWS environment that address complex challenges in defense data analytics and intelligence
- Contribute to and execute against Govini’s AI roadmap
- Lead the implementation of advanced generative AI applications to transform unstructured and structured defense and security data into meaningful insights
- Establish technical direction and best practices for AI/ML development, deployment, and operations across engineering and data science teams
- Collaborate with data scientists, machine learning engineers, software engineers, product managers, and defense domain experts to translate business requirements into efficient technical solutions
- Develop and implement AI governance frameworks that address the unique security, explainability, and ethics requirements of defense applications
- Mentor and provide technical guidance to junior engineers while fostering a culture of innovation and technical excellence
- Continuously evaluate emerging AI/ML technologies and methodologies for potential application to defense tech challenges
- Craft clean, testable, and maintainable code
Preferred Qualifications
- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Experience working with defense, intelligence, or national security data and applications
- Knowledge of federal security compliance requirements (NIST, FedRAMP, IL4/IL5/IL6)
- Familiarity with graph-based analytics and knowledge representation for complex relationship modeling
- Experience with advanced NLP techniques for document analysis, entity extraction, and knowledge mining
- Experience with advanced time-series analysis and forecasting techniques
- Background working with classified information or in secure environments
- Understanding of ethical considerations and responsible AI development for national security applications