Principal AI Engineer

NBCUniversal

. Conduct and apply cutting-edge research in AI and natural language processing to solve real-world problems .

Posted 9/15/2026full-timeRemote • New York • CanadaLead💰 $220,000 - $265,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI and natural language processing, with a strong focus on integrating AI agents into production software. Proven ability to lead technical initiatives, mentor teams, and establish best practices in a collaborative environment.

Highest-signal resume keywords

AI EngineeringNatural Language ProcessingPython ProgrammingTechnical LeadershipData Science

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Agent IntegrationAPI DesignStochastic AI SystemsLogic ProgrammingContainerizationMathematicsMachine LearningC++ ProgrammingC# ProgrammingUnix Shell

Soft Skills

CollaborationCoachingAttention to DetailCommunicationMentorship

Tools & Technologies

GitMessage Brokers

Industry Keywords

RoboticsSmart GridsPrecision AgricultureGame DevelopmentAerospace

Tech Stack

Tools & technologies

PythonUnixC++

About the role

Key responsibilities & impact

Conduct and apply cutting-edge research in AI and natural language processing to solve real-world problems
Architect and implement systems combining symbolic and numerical/data-driven techniques
Provide technical leadership in bridging research and production of novel AI agents
Work with project leadership across functional domains to understand product vision
Translate customer requirements into technical milestones
Decide when to deploy commercial solutions, customize open-source solutions, or initiate greenfield applied science research based on product needs
Lead by example and amplify team capabilities through coaching and mentorship
Establish technical best practices
Foster high-trust, high-performance collaborative attitudes and practices
Communicate across functional teams
Ensure architectural choices are documented throughout planning and implementation

Requirements

What you’ll need

Graduate degree in Data Science, Computer Science, or a related field, or equivalent deep technical experience
Proven experience as an AI Engineer or Applied Research Engineer in a fast-paced environment
Experience in complex multidisciplinary industries such as robotics, smart grids, precision agriculture, game development, or aerospace highly valued
Fluency with Git and the Unix shell
Ability to work across multiple programming languages, ideally including Python, C++, or C#
Deep understanding of integrating AI agents into production software, including API design, message brokers, containerization, and compute and memory budgeting
Experience building and debugging stochastic AI systems, including symbolic AI, procedural generative models, logic programming, and natural language processing
Strong mathematical background in logic, linear algebra, probability, and statistics
ML-adjacent experience sufficient to understand model constraints, data requirements, and the state of the art
Preferred prior experience with modern C++
Effective collaboration and ability to work closely with a founding team
High attention to detail and ability to meet key R&D milestones
High attention to detail regarding system stability and interoperability

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
401(k)
Paid leave
Tuition reimbursement
Discounts and perks
Reasonable accommodations for qualified individuals with disabilities and disabled veterans