Principal Engineer - Platform Enablement

Role Description

The Principal Engineer serves as the Technical Lead for an AI Enablement Platform engineering pod responsible for designing, building, and evolving shared AI platform capabilities that enable application teams across Frontline to safely, reliably, and efficiently operationalize AI and agentic workflows within customer-facing products and internal platform capabilities.

• Provide technical leadership, implementation guidance, and architectural stewardship.
• Engage in hands-on engineering activities including software design, prototyping, implementation, troubleshooting, operational support, experimentation, and platform modernization.
• Partner closely with Engineering Managers, Product Managers, Platform Architects, QA Engineers, Security teams, Data Platform teams, and peer Technical Leads.
• Participate throughout the product lifecycle including discovery, refinement, implementation, delivery, adoption enablement, operational support, and continuous improvement activities.

Qualifications

• Bachelor's Degree in Computer Science or related field.
• 10+ years of professional software engineering or platform engineering experience.
• Proven experience leading technical execution for engineering teams or pods.
• Strong experience designing and building distributed cloud-native systems.
• Experience designing and implementing operational platform capabilities supporting AI-enabled workflows.
• Strong understanding of:
  • Distributed systems and asynchronous workflows
  • Event-driven architectures
  • API and integration platform design
  • Observability and operational telemetry
  • Security and governance patterns
  • AI orchestration and workflow concepts
• Experience with AWS cloud-native development including services such as:
  • Lambda
  • EC2
  • S3
  • SNS/SQS
  • Container-based workloads
  • AI or data-related services
• Experience with:
  • Kafka or equivalent messaging technologies
  • Distributed systems and workflow orchestration concepts
  • Docker
  • Modern API and microservice architectures
• Familiarity with operational AI patterns including orchestration, retrieval workflows, agentic execution models, or provider abstraction concepts.
• Experience operating within Agile/Scrum delivery models.
• Strong communication skills with the ability to engage technical and non-technical stakeholders.
• Demonstrated ability to mentor engineers and elevate engineering practices across teams.

Requirements

• Experience with AWS Bedrock or similar enterprise AI platforms.
• Experience designing shared platform capabilities consumed across multiple product teams.
• Experience with observability, governance, auditing, or telemetry platforms.
• Familiarity with vector search, embeddings, retrieval workflows, or AI integration patterns.
• Experience supporting AI or agentic enablement in enterprise application environments.
• Familiarity with Kubernetes or container orchestration platforms.
• Experience collaborating with offshore or geographically distributed engineering teams.
• Experience leveraging AI-assisted or agentic development workflows in professional software engineering environments.

Benefits

• Full base compensation range for this position is $165,000-$185,000.
• Bonus eligibility and long-term incentive opportunities.
• 401(k) with company match.
• Comprehensive health, dental, and vision coverage.
• Employee stock purchase plan.
• Generous paid time off and tuition reimbursement.