Senior Applied AI Engineer

Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You’ll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.) Job Summary We're seeking a Senior Applied AI Engineer to join our Cloud Security Engineering team and help shape the next generation of intelligent platforms that drive security outcomes across the organization. In this role, you'll design and build AI-powered solutions that transform large volumes of technical and business data into actionable insights, automated workflows, and measurable results. While the work supports cybersecurity initiatives, this is fundamentally a software engineering and applied AI role focused on creating scalable platforms, intelligent automation, and modern cloud-native services that empower engineering teams to work smarter and move faster. As a Senior Applied AI Engineer, you'll own critical technical initiatives from concept through production, driving innovation across AI, automation, and software engineering.

What You'll Do Design and build intelligent software platforms that leverage AI-assisted reasoning, automation, and workflow orchestration. Develop self-service capabilities that help teams investigate issues, implement recommendations, and execute repeatable processes with minimal manual effort. Integrate data and services across cloud platforms, internal systems, APIs, and SaaS applications. Create scalable backend services and APIs that support complex business workflows and operational decision-making. Lead architecture and implementation decisions across distributed systems, workflow automation, and data pipelines. Build reliable systems with observability, resiliency, fault tolerance, and operational excellence in mind. Partner with software engineers, platform teams, product partners, and security stakeholders to deliver impactful solutions. Research, prototype, and apply emerging AI technologies to solve real-world business and engineering challenges. Mentor engineers, influence technical direction, and help elevate engineering best practices across the organization.

7+ years of software engineering experience designing, building, and supporting production systems. Strong Python development skills and experience building backend APIs and services using FastAPI or similar frameworks. Experience with PostgreSQL, data modeling, ORM frameworks, and scalable data processing systems. Proven ability to design distributed, service-oriented architectures, including workflow orchestration, asynchronous processing, and resilient application design. Strong problem-solving skills with the ability to translate complex requirements into scalable technical solutions. Cloud & Platform Engineering Experience building and operating applications in AWS, including services such as EC2, ECS/Fargate, Lambda, RDS, S3, IAM, and CloudWatch. Experience with Docker, containerized application delivery, and CI/CD pipelines. Knowledge of automated testing, deployment strategies, infrastructure-as-code, and modern DevOps practices. Experience implementing observability, reliability, and operational best practices for