Senior Technical Program Manager, Applied AI

LILT AI; Washington (IN); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Competitive salary and benefits package

Opportunity with cutting-edge AI technology

Dynamic and collaborative work environment

Professional growth opportunities

Job summary

LILT AI in Washington, Indiana is seeking a Senior Technical Program Manager for Applied AI to lead large-scale projects in AI development. You will manage data pipelines, ensuring quality control and operational excellence while working with cutting-edge technologies.

The ideal candidate has a strong background in computer science or AI, possesses significant program management experience, and can navigate the complexities of AI models. LILT offers a competitive salary and an environment conducive to professional growth.

Qualifications

• 10+ years of industry experience leading data pipeline management for LLMs.
• Hands-on with RAG architectures and familiarity with RL environments.
• Strong experience in managing high-throughput programs.

Responsibilities

• Lead execution of high-priority technical programs for AI labs.
• Oversee pipelines delivering high-volume data samples across modalities.
• Implement automated QC frameworks for data integrity.

Skills

Frontier AI Expertise

Technical Depth

Scale & Quality

Strategic Execution

Adaptability

Education

B.S. or M.S. in Computer Science, AI, or related field

Ph.D. with 5+ years experience in AI/Engineering

Tools

Python

PyTorch

LangChain

Job description

About LILT

AI is changing how the world communicates—and LILT is leading that transformation. We make the world’s information accessible to everyone, regardless of language, using AI, machine translation, and human‑in‑the‑loop expertise.

About the Role

As a Senior TPM of Applied AI, you will sit at the intersection of cutting‑edge research and industrial‑scale execution. You will lead complex programs that provide the “fuel” for AI models, ensuring next‑generation large language models and multimodal models are trained on the most accurate, diverse, and complex sourced data available.

Responsibilities

• Frontier Lab Program Management: 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.
• High‑Volume Data Operations: 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.
• End‑to‑End Quality Control: Partner with production to implement rigorous, automated, and human‑in‑the‑loop QC frameworks to ensure data integrity across various domains and languages.
• Bespoke FDE Deliverables: 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.
• RL & Environment Management: Oversee projects involving Reinforcement Learning (RL) environments, ensuring the infrastructure and human‑feedback loops are optimized for model alignment and performance.
• Technical Consultation: Serve as the primary technical point of contact for AI researchers and engineers at partner labs, translating complex research needs into actionable engineering roadmaps.
• Cross‑Functional Leadership: Bridge the gap between forward‑deployed engineering resources, research, and production teams to ensure LILT can serve the needs of the frontier AI market.

Qualifications

• 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.

Preferred Skills

• Fluency in multiple languages.
• Proficiency in Python and experience working with modern AI frameworks such as PyTorch and LangChain.

What We Offer

• 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.

Equal Opportunity Employer Statement

LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.