McAfee
Role Overview:
We're seeking a Lead AI/Data Engineer to transform operational analytics for our consumer protection team, building scalable data pipelines and real-time monitoring systems that provide critical visibility into performance and reliability health across our large subscriber base. This role analyzes customer and internal data to improve both what our CP products deliver and how they are delivered, while driving organizational efficiency and product effectiveness. The position will lead AI proof-of-concepts and contributes to production solutions that dramatically accelerate code development and shipping cycles through AI integration for both customer-facing products and internal developer productivity tools.
You will drive operational analytics and real-time monitoring transformation for consumer protection by building scalable data pipelines, AI-powered insights, and live operational dashboards. Lead AI proof-of-concepts and contribute to production solutions for customer-facing products and internal developer productivity tools across McAfee's multi-platform ecosystem.
This is a Remote position located in the United States. You must live in the United States, we are not offering relocation assistance at this time.
About the role:
Design comprehensive data metrics from telemetry and user data for threat analysis and UX optimization
Build near real-time dashboards for system health, security monitoring, and operational issue detection
Develop scalable ETL pipelines processing large-volume telemetry across heterogeneous systems
Create automated data quality validation frameworks
Help the CPE leadership run weekly consumer analytics deep dive sessions to review field telemetry data around new feature engagement metrics, consumer trends, failures, performance and reliability metrics for all the consumer products.
Integrate AI into existing systems for performance optimization and SDLC automation
Build predictive analytics and anomaly detection for consumer protection telemetry
Develop AI-driven solutions to reduce friction and improve product efficacy
Manage integrations with OpenAI, Claude, and other LLM providers
Weekly AI training sessions with consumer organization to teach and promote AI-driven engineering capabilities
Measuring and improving AI-driven software engineering KPIs which promote use of high quality SDL capabilities through AI across all parts of the lifecycle: Product, Arch, UX, Design, Engineering, QA, and Ops)
Deploy local LLM solutions and optimize token management strategies
Lead AI proof-of-concepts and contribute to production AI solutions
Ensure seamless AI integration while maintaining platform-specific performance
Develop MCP servers for AI model deployment and workflow management
Build enterprise architecture for cost-effective innovation acceleration
Implement CI/CD pipelines for AI model deployment and monitoring
Work to transform using CI/CD runtime environments (runners/workers) to build initial software engineering features and capabilities instead of just software engineers' laptops
Create comprehensive token tracking and cost optimization systems
About You:
10+ years data engineering, 3+ years AI/ML experience
Python proficiency; Flutter/Dart, Swift awareness
Data engineering: Spark, Kafka, ETL pipelines, data warehousing (Snowflake, BigQuery, Databricks)
AI/ML: TensorFlow, PyTorch, scikit-learn experience
LLM integration: OpenAI API, Claude API, LangChain, local OSS models
Cloud platforms: AWS/Azure/GCP with AI/ML services focus
Databases: SQL/NoSQL (PostgreSQL, MongoDB, Redis)
Cross-platform development (Windows, macOS, iOS, Android)
API development (REST, GraphQL) and real-time systems
Cybersecurity understanding and secure data handling
MLOps and model lifecycle management
Cybersecurity platform knowledge
MCP implementation experience
Preferred Bachelor's/Master's in Computer Science, Data Science, or equivalent Success Metrics
Improved quality of products in the field through monitoring analysis reporting and anomaly detection and action.
Improved developer productivity via AI tooling
Dramatic acceleration of development cycles for new projects through semi-autonomous codegen AI
Cost-effective AI operations with optimized resource usage
Highly effective and trustworthy real-time and historical monitoring systems for our large consumer base.
#LI-Remote
Company Overview
McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users' needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.
Company Benefits and Perks:
We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We're proud to be Great Place to Work® Certified in 10 countries, a reflection of the supportive, empowering environment we've built where people feel seen, valued, and energized to reach their full potential and thrive.
We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.
Bonus Program
Pension and Retirement Plans
Medical, Dental and Vision Coverage
Paid Time Off
Paid Parental Leave
Support for Community Involvement
We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.
We're seeking a Lead AI/Data Engineer to transform operational analytics for our consumer protection team, building scalable data pipelines and real-time monitoring systems that provide critical visibility into performance and reliability health across our large subscriber base. This role analyzes customer and internal data to improve both what our CP products deliver and how they are delivered, while driving organizational efficiency and product effectiveness. The position will lead AI proof-of-concepts and contributes to production solutions that dramatically accelerate code development and shipping cycles through AI integration for both customer-facing products and internal developer productivity tools.
You will drive operational analytics and real-time monitoring transformation for consumer protection by building scalable data pipelines, AI-powered insights, and live operational dashboards. Lead AI proof-of-concepts and contribute to production solutions for customer-facing products and internal developer productivity tools across McAfee's multi-platform ecosystem.
This is a Remote position located in the United States. You must live in the United States, we are not offering relocation assistance at this time.
About the role:
Design comprehensive data metrics from telemetry and user data for threat analysis and UX optimization
Build near real-time dashboards for system health, security monitoring, and operational issue detection
Develop scalable ETL pipelines processing large-volume telemetry across heterogeneous systems
Create automated data quality validation frameworks
Help the CPE leadership run weekly consumer analytics deep dive sessions to review field telemetry data around new feature engagement metrics, consumer trends, failures, performance and reliability metrics for all the consumer products.
Integrate AI into existing systems for performance optimization and SDLC automation
Build predictive analytics and anomaly detection for consumer protection telemetry
Develop AI-driven solutions to reduce friction and improve product efficacy
Manage integrations with OpenAI, Claude, and other LLM providers
Weekly AI training sessions with consumer organization to teach and promote AI-driven engineering capabilities
Measuring and improving AI-driven software engineering KPIs which promote use of high quality SDL capabilities through AI across all parts of the lifecycle: Product, Arch, UX, Design, Engineering, QA, and Ops)
Deploy local LLM solutions and optimize token management strategies
Lead AI proof-of-concepts and contribute to production AI solutions
Ensure seamless AI integration while maintaining platform-specific performance
Develop MCP servers for AI model deployment and workflow management
Build enterprise architecture for cost-effective innovation acceleration
Implement CI/CD pipelines for AI model deployment and monitoring
Work to transform using CI/CD runtime environments (runners/workers) to build initial software engineering features and capabilities instead of just software engineers' laptops
Create comprehensive token tracking and cost optimization systems
About You:
10+ years data engineering, 3+ years AI/ML experience
Python proficiency; Flutter/Dart, Swift awareness
Data engineering: Spark, Kafka, ETL pipelines, data warehousing (Snowflake, BigQuery, Databricks)
AI/ML: TensorFlow, PyTorch, scikit-learn experience
LLM integration: OpenAI API, Claude API, LangChain, local OSS models
Cloud platforms: AWS/Azure/GCP with AI/ML services focus
Databases: SQL/NoSQL (PostgreSQL, MongoDB, Redis)
Cross-platform development (Windows, macOS, iOS, Android)
API development (REST, GraphQL) and real-time systems
Cybersecurity understanding and secure data handling
MLOps and model lifecycle management
Cybersecurity platform knowledge
MCP implementation experience
Preferred Bachelor's/Master's in Computer Science, Data Science, or equivalent Success Metrics
Improved quality of products in the field through monitoring analysis reporting and anomaly detection and action.
Improved developer productivity via AI tooling
Dramatic acceleration of development cycles for new projects through semi-autonomous codegen AI
Cost-effective AI operations with optimized resource usage
Highly effective and trustworthy real-time and historical monitoring systems for our large consumer base.
#LI-Remote
Company Overview
McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users' needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.
Company Benefits and Perks:
We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We're proud to be Great Place to Work® Certified in 10 countries, a reflection of the supportive, empowering environment we've built where people feel seen, valued, and energized to reach their full potential and thrive.
We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.
Bonus Program
Pension and Retirement Plans
Medical, Dental and Vision Coverage
Paid Time Off
Paid Parental Leave
Support for Community Involvement
We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.