Principal, AI Data Engineer (remote) - Remote Eligible

Principal Ai Data Engineer

The Principal AI Data Engineer is a senior individual contributor responsible for the hands-on design, build, and operation of enterprise-scale AI-driven data platforms. This role owns architecture, development, reliability, scalability, and performance of AI data systems, with a strong focus on Snowflake, LLM integrations (Gemini, Glean, Agentforce, etc.), and modern cloud-native architectures supporting real-time and batch workloads.

As a technical authority, this role drives the implementation of trusted, production-ready AI capabilities across the enterprise, partnering closely with engineering, AI/ML, and business teams while remaining deeply hands-on in solution delivery.

What You'll Do:

• Design, build, and operate AI-ready data platforms leveraging Snowflake and cloud-native services
• Architect and deliver conversational Data & AI Assistants integrated with Slack, Gemini, and enterprise systems
• Partner closely with data analysts and business SMEs to translate business questions into reliable data products and AI experiences
• Design and implement LLM-powered integrations and RAG-based data access patterns
• Ensure availability, performance, scalability, and resiliency of data, analytics, and AI platforms
• Define and implement operational standards including support models, SLAs, escalation paths, and incident lifecycle processes
• Serve as a technical leader and mentor, setting engineering best practices and raising the bar across teams
• Collaborate with data engineering, AI/ML, cloud, security, product, and business stakeholders
• Champion SRE, DevOps, and FinOps best practices through hands-on implementation and guidance

What You'll Need:

• Snowflake (including Snowpark and Snowflake Intelligence AI/ML integrations)
• Cloud platforms (AWS preferred)
• LLM platforms and tools (Gemini, Glean, Salesforce AI, or similar)
• RAG architectures, embeddings, vector databases, and semantic search
• Modern data stacks (dbt, orchestration frameworks, batch and streaming pipelines)
• AI/ML platforms (Gemini, SageMaker, Bedrock, or equivalent)
• Infrastructure as Code (Terraform) and CI/CD pipelines (GitLab)
• Observability, incident management, and reliability engineering

• 10+ years of experience in data engineering, AI platforms, or cloud-native systems
• 5+ years operating as a senior or principal-level individual contributor
• Proven experience building and operating enterprise AI and data platforms at scale
• Strong background in production operations, SRE, and platform reliability
• Demonstrated ability to lead complex technical initiatives through influence rather than direct people management
• Excellent communication skills with the ability to engage technical and non-technical stakeholders

Bonus Points:

• Experience working for a SaaS security company

Benefits of Working at CrowdStrike:

• Market leader in compensation and equity awards
• Comprehensive physical and mental wellness programs
• Competitive vacation and holidays for recharge
• Paid parental and adoption leaves
• Professional development opportunities for all employees regardless of level or role
• Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
• Vibrant office culture with world class amenities
• Great Place to Work Certified™ across the globe

CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.

CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements.