Lead Software Engineer – AI

NBCUniversal

Lead Software Engineer to drive AI-enabled innovation and cross-functional collaboration for Freewheel. Building scalable solutions for AI capabilities in ad platforms.

Posted 7/2/2026full-timeReston • Virginia • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and implementing AI/ML systems, with a strong focus on Python programming and cloud platforms. Proven ability to mentor teams, drive application integration, and ensure alignment with business objectives through effective communication and collaboration.

Highest-signal resume keywords

AI/ML Systems DevelopmentPython ProgrammingCloud Platforms (AWS, Azure, GCP)Model Lifecycle PracticesDistributed Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAI/ML SystemsPythonGoNLPRecommendation SystemsTime Series ModelingReal-Time Inference ArchitecturesApplication Performance MonitoringDocumentation Creation

Soft Skills

MentoringCollaborationCommunication

Tools & Technologies

AI Tooling Ecosystems

Industry Keywords

ScalabilitySecurityContinuous Performance ImprovementCross-Functional CollaborationQuality Assurance

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsGoGoogle Cloud PlatformPython

About the role

Key responsibilities & impact

Leading the development and implementation of innovative software and web applications, ensuring they align with business objectives and user requirements
Integrating new systems seamlessly with existing infrastructure, focusing on scalability, security, and continuous performance improvement
Mentoring team members and providing technical training, fostering a collaborative environment for knowledge sharing and professional growth
Collaborating with cross-functional teams to ensure successful application integration, advocating for best practices in software development
Participating in or leading peer programming sessions, design sprints, or prototyping sessions
Driving the creation, maintenance, and accessibility of comprehensive documentation for all development activities
Monitoring application performance metrics rigorously, utilizing data to guide enhancements and ensure delivery aligns with project goals
Providing expert technical advice and support to internal stakeholders and external partners, effectively communicating complex concepts
Collaborating with the Quality Assurance team to confirm applications meet rigorous testing standards and fulfil technical requirements

Requirements

What you’ll need

6+ years of experience in software engineering, with strong focus on AI/ML systems in production
Strong programming skills in Python (Go a plus)
Experience building and deploying Agents or LLM-based applications into production environments
Experience with distributed systems and real-time inference architectures
Knowledge of core AI domains such as NLP, recommendation systems, or time series modeling
Experience with model lifecycle practices (evaluation, monitoring, retraining, and iteration)
Experience with cloud platforms (AWS, Azure, or GCP) and AI tooling ecosystems
Ability to translate business problems into scalable AI solutions and drive implementation end-to-end.

Benefits

Comp & perks

array of options, expert guidance and always-on tools that are personalized to meet the needs of your reality—to help support you physically, financially and emotionally through the big milestones and in your everyday life.