LILT

Senior Technical Program Manager, Applied AI

LILT

full-time

Posted on:

Location Type: Hybrid

Location: Washington D.C. • District of Columbia • Massachusetts • United States

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Job Level

Senior

Tech Stack

Cloud

About the role

  • Lead the end-to-end execution of high-priority technical programs for frontier AI labs, managing the delivery of massive-scale datasets and bespoke engineering milestones.
  • Architect and oversee pipelines for delivering high-volume data samples across multiple modalities (text, image, video, audio), ensuring strict adherence to delivery cadences without sacrificing precision.
  • Partner with production to implement rigorous, automated, and human-in-the-loop QC frameworks to ensure data integrity across various domains and languages.
  • Lead technical workstreams to deliver custom research and engineering improvements via the forward-deployed engineers, such as RAG (Retrieval-Augmented Generation) workflow optimizations, model evaluations, and synthetic data generation.
  • Oversee projects involving Reinforcement Learning (RL) environments, ensuring the infrastructure and human-feedback loops are optimized for model alignment and performance.
  • Serve as the primary technical point of contact for AI researchers and engineers at partner labs, translating complex research needs into actionable engineering roadmaps.
  • Bridge the gap between forward-deployed engineering resources, research, and production teams to ensure LILT can serve the needs of the frontier AI market.

Requirements

  • Education: B.S or M.S. in Computer Science, AI, or a related technical field with 10+ years of industry experience. Equivalently, a Ph.D. with 5+ years of experience in a high-growth AI/Engineering environment.
  • Frontier AI Expertise: Proven track record of managing data pipelines for LLMs or multimodal models. Deep understanding of training, inference, and the nuances of data diversity (multilingual and multi-domain).
  • Technical Depth: Hands-on experience with RAG architectures, vector databases, and agentic workflows. Familiarity with Reinforcement Learning (RLHF/RLAIF) environments and preference signaling.
  • Scale & Quality: Demonstrated ability to manage "high-throughput" programs where quality control is mission-critical. You should have experience with automated validation at scale.
  • Strategic Execution: Strong business acumen and the ability to manage high-stakes stakeholder relationships with frontier AI labs.
  • Operational Excellence: Expert-level understanding of software integration (RESTful APIs, cloud infrastructure) and the ability to troubleshoot complex technical bottlenecks in real-time.
  • Adaptability: Ability to thrive in a "frontier" environment where requirements can shift based on the latest research breakthroughs.
Benefits
  • Competitive salary and benefits package
  • Opportunity to work with cutting-edge AI technology in a rapidly growing industry
  • A dynamic and collaborative work environment
  • Significant opportunities for professional growth and development
  • The chance to make a real impact on global communication and business
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data pipelinesRAG architecturesvector databasesReinforcement Learningautomated validationhigh-throughput programsdata integritysynthetic data generationmodel evaluationsmultimodal models
Soft Skills
strategic executionbusiness acumenstakeholder managementadaptabilityoperational excellencecommunicationleadershipproblem-solvingcollaborationtranslation of complex needs