AI Development Lead for TheIncLab leading and executing AI solutions through collaboration and technical strategy. Overseeing end-to-end AI lifecycle while mentoring engineers and driving innovation.
Responsibilities
**Your Mission, Should You Choose to Accept**
As an AI Development Lead, you will work cross-functionally with product, engineering, and business leaders to translate cutting-edge AI research into scalable, reliable, and mission-impacting software.
**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.
Requirements
**Capabilities that will enable your success**
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.
Benefits
**Benefits**
At TheIncLab we recognize that innovation thrives when employees are provided with ample support and resources. Our benefits packages reflect that:
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.
A company culture that values your individual strengths, career goals, and contributions to the team.
AI Technology Intern supporting strategic initiatives and AI - enabled projects in a corporate environment. Gaining hands - on experience while working closely with cross - functional teams to drive business outcomes.
AI Engineer II at Honeywell responsible for developing and implementing AI algorithms and systems. Collaborating with teams in a hybrid work setting to solve complex business challenges.
Applied Researcher I at Capital One focusing on AI in banking. Collaborating with cross - functional teams to develop AI - powered products with a focus on customer interactions.
Senior AI Technologist identifying opportunities to integrate AI into processes while collaborating with stakeholders. Designing data structures and improving data quality for AI initiatives.
AI Partner Technical Engineer guiding partners in Dell’s AI Technical Partner Program. Ensuring seamless technical journeys and optimizing AI solutions compliance with Dell’s criteria.
Associate Director leading medical engagement transformation for Johnson & Johnson Oncology portfolio. Designing and delivering analytics solutions for enhanced customer engagement in healthcare.
AI Change Enablement Consultant enabling clients through design - led thinking and practical enablement. Role involves collaboration with architects and stakeholders to drive measurable outcomes.
Incident & Problem Manager responsible for critical incident resolution and AI evolution in incident management at Omnissa. Leading operational excellence in a global IT operations organization.
Intern in AI Innovation at Founders Bay Accelerator, supporting startups with AI applications and workflows. Collaborate closely with founding team and engage in hands - on AI projects.
Design and deploy intelligent automation and agentic AI solutions for clients in India. Collaborate on AI strategies and evangelize best practices in the fusion of AI and business.