Jobs · Engineering · Virginia

AI Development Lead

TheIncLab · McLean, VA · 5 mo ago
HybridEngineeringFull-time

About the role

TheIncLab engineers and delivers intelligent digital applications and platforms that revolutionize how our customers and mission-critical teams achieve success. We are looking for an AI Development Lead to join our RAPID AI Research team to deliver TheIncLab's vision.

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
  • 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

Qualifications

  • 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 Qualifications

  • Graduate degrees 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 including options for Medical, Dental, and Vision insurance
  • 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
  • A company culture that values your individual strengths, career goals, and contributions to the team

About TheIncLab

TheIncLab ("TIL") is the first human-centered artificial intelligence (AI+X) lab. We engineer complex, integrated solutions that combine cutting-edge AI technologies with emerging systems-of-systems to solve some of the most difficult challenges in the defense and aerospace industries. Our work spans diverse technological landscapes, from rapid ideation and prototyping to deployment. At TIL, we foster a culture of relentless optimism. No problem is too hard, no project is too big, and no challenge is too complex to tackle. This is possible due to the positive attitude of our teams. We approach every problem with a "yes" attitude and focus on results. Our motto, "demo or die," encompasses the idea that failure is not an option. We do all of this with a work ethic rooted in kindness and professionalism.

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