Senior Applied AI Engineer

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.

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.
• 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.

What You'll Need

• 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 production systems.

Preferred Qualifications

• Experience developing AI-powered applications, workflow automation platforms, or intelligent decision-support systems.
• Familiarity with cybersecurity, risk management, compliance, or cloud security concepts.
• Experience with React/TypeScript and modern web application development.
• Experience with data and analytics platforms such as Snowflake, Databricks, OpenSearch, or Elasticsearch.

Skills

• Amazon Web Services (AWS)
• Cloud DevOps
• Infrastructure As Code (IaC)
• System Designs
• Technical Leadership
• Agentic AI
• Python Software Development

Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work.

Education

• Bachelor's Degree

Relevant Work Experience

• 7-10 Years