TheIncLab · 3 weeks ago
AI Development Lead
McLean, VA
Full-time
Hybrid
Senior Level
5+ years expTheIncLab engineers and delivers intelligent digital applications and platforms that revolutionize how our customers achieve success. The AI Development Lead will work cross-functionally to translate AI research into scalable software, leading the architecture and delivery of AI/ML systems while overseeing the entire AI lifecycle.
Artificial Intelligence (AI)Information TechnologyMachine Learning
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Drive Technical Strategy & Execution Lead architecture, design, and delivery of AI/ML systems, including LLMs, RAG workflows, agents, and foundation models from prototyping to production
Lead End-to-End AI Lifecycle Oversee model development including data preparation, training/optimization, evaluation/validation, deployment, monitoring, and iteration. Ensure systems adhere to robustness, scalability, observability, and ethical AI standards
Collaborate Cross-Functionally Partner with product managers, data engineers, UX/design, and business stakeholders to define requirements, set priorities, and deliver impactful AI solutions aligned to business needs
Establish Best Practices Champion CI/CD and MLOps practices, including model versioning, automated pipelines, performance monitoring, and reproducibility
Mentorship & Leadership Mentor engineers and scientists, fostering high engineering standards, technical growth, innovation, and accountability
Research & Innovation Impact Stay ahead of industry advancements in generative AI, foundational model tech, self-supervised learning, optimization techniques, RLHF, and robustness/interpretability. Apply research insights to product enhancements and novel solutions
Qualification
Required
Bachelor's degree in Computer Science, Data Science, Mathematics, Engineering, or related field
Minimum 5+ years in AI/ML development with clear progression into technical leadership roles
Experience from concept through execution and operationalization of AI/ML systems
Deep understanding of generative AI architectures, training paradigms, and foundation models
Hands-on experience with large deep learning models: language, vision, event, or graph domains
Expertise in one or more advanced topics: self-supervised learning, training optimization, robustness, explainability, RLHF
Demonstrated record of delivering AI systems at scale, both training compute and inference loads
Experience building platform-level capabilities or reusable libraries that uplift other teams
Track record of meaningful contributions to the field, such as publications, open-source code, or recognized projects
Excellent verbal and written communication skills and ability to align AI work with business strategy
Willingness to travel to customer sites as needed
Preferred
Graduate degrees preferred
Existing clearance is preferred
Benefits
Hybrid and flexible work schedules
Professional development programs
Training and certification reimbursement
Extended and floating holiday schedule
Paid time off and Paid volunteer time
Health and Wellness Benefits include options for Medical, Dental, and Vision insurance along with access to Wellness, Mental Health, and Employee Assistance Programs.
100% Company Paid Benefits that include STD, LTD, and Basic Life insurance.
401(k) Plan Options with employer matching
Incentive bonuses for eligible clearances, performance, and employee referrals.
Company
TheIncLab
TheIncLab offers artificial intelligence and machine learning services.
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
Ara Avakian
Chief Information Security Officer - Board of Directors
Company data provided by crunchbase