Sr. Applied AI Engineer

Comcast

1d • $98,679 - $231,278 • Hybrid

About The Position

As a Senior Applied AI Engineer, you will be a core technical leader and individual contributor within DataBee’s exciting new cybersecurity business unit, which sells SaaS and subscription security solutions to large enterprises and the federal government. Working closely with engineering leadership, you will be primarily responsible for designing, developing, and deploying advanced analytics and data exploitation solutions for DataBee—a new SaaS security, risk, and compliance platform originally developed internally and used inside Comcast’s SOC, now made available to the Fortune 500 CISO customer base.

You will operate in a fast-paced, highly collaborative engineering environment to deliver exceptional value to DataBee customers. In this senior individual contributor role, you will extract knowledge and insights from high-volume, high-dimensional data to solve sophisticated business problems through advanced data preparation, modeling, analysis, and visualization techniques. You will utilize sophisticated statistical analysis, algorithms, predictive modeling, experimentation, and pattern recognition to consolidate and analyze unstructured, diverse big data sources, generating actionable insights and automated security solutions.

While this is an individual contributor role, you will serve as a technical anchor and mentor within a globally distributed engineering team spanning the US and India, providing subject matter expertise, technical direction, and architectural guidance. You will help drive department efficiencies, champion industry best practices, and contribute to shaping a high-energy startup culture within the DataBee business unit, empowering your peers to operate with agility and innovation.

Requirements

• Expertise in Python.
• Experience developing and implementing microservices containing sophisticated analytical logic.
• Demonstrated expertise in working with cybersecurity data sets and applying machine learning techniques to aid in security compliance and/or threat hunting.
• Experience in parsing and cleansing data. Highly preferred if experienced in the application of machine learning to aid in data parsing and normalization.
• Experience designing, developing, and deploying applications powered by Large Language Models (LLMs), including conversational AI, chatbots, and AI assistants.
• Experience with Retrieval-Augmented Generation (RAG), semantic search, vector databases, embeddings, and prompt engineering.
• Experience integrating foundation models (e.g., OpenAI, Anthropic, Gemini, or open-source LLMs) into production applications through APIs and orchestration frameworks.
• Experience evaluating, fine-tuning, and optimizing LLM-based solutions, including model selection, prompt optimization, guardrails, and performance evaluation.
• Understanding of AI governance, responsible AI practices, model monitoring, and security considerations for generative AI applications.
• Experience building scalable AI/ML pipelines and deploying models using MLOps best practices.
• Experience working in Agile Scrum development environments.
• Experience working with GitHub and Jira or similar technologies.
• Experience using Python unit test frameworks.
• Experience using Docker and containerized application deployment.
• Experience developing on a SaaS product.
• This position is ineligible for visa sponsorship. To be considered for this role, you must be legally authorized to work in the United States and not require sponsorship for employment now or in the future.

Nice To Haves

• Experience with distributed data processing technologies (e.g., Apache Spark, Apache Flink) is highly desirable.
• While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.

Responsibilities

• Interacts with product and field engineering teams to identify questions and issues for data analysis and experiments.
• Leads development and coding of software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
• Uses analytical rigor and statistical methods to analyze large amounts of data, extracting practical insights using sophisticated statistical techniques such as data analysis, data mining, optimization tools and machine learning techniques and statistics
• Leads development and execution of statistical and mathematical solutions to business problems to support larger initiatives.
• Leads creation of data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets.
• Leads the production of analysis of historical patterns in customer behaviors and product performance from large, noisy, and complex datasets.
• Leads development and deployment of predictive models based on historical data that provide future predictions about customer behavior.
• Researches, educates and applies knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions.
• Crafts and is responsible for deliverables and presentations that report methodology and results of analysis.
• Owns the development of customer centric models and optimization tools to support large scale projects that use streaming and at-rest processing over structured and unstructured data.
• Understand platform usage and assist with production deployments and customer issue triage.
• Develop security features as part of the development and adopt the DevSecOps culture.
• Use and improve on tools to identify and mitigate production incidents.
• Build re-usable software components or libraries that can be used by multiple teams, where needed.
• Build self-contained microservices or application programming interfaces to support the business logic.
• Use content management systems as applicable and global design patterns and defined coding standards and practices established by the team.
• Consistent exercise of independent judgment and discretion in matters of significance.
• Regular, consistent and punctual attendance. Must be flexible in schedule as vital.
• Other duties and responsibilities as assigned.

Benefits

• Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work.
• Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus.
• Additionally, Comcast provides best-in-class Benefits to eligible employees.
• We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most.
• That’s why we provide an 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.
• Please visit the compensation and benefits summary on our careers site for more details.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior