Product Engineering PxE Platforms Group Engineering Leader

About This Role

Lead a full-stack engineering workstream delivering cloud-native products and Generative AI capabilities. Guide day-to-day technical execution, ensure secure and reliable delivery, and partner with stakeholders to translate requirements into working software while incorporating strong system design and privacy practices.

Responsibilities

• Own delivery for an engineering workstream including scope, plan, dependencies, and risks, coordinating across engineers, product, QA, and platform/security partners.
• Produce and socialize system designs, driving design reviews and technical tradeoffs.
• Design and build front-end and back-end components, review code, improve test coverage, and drive pragmatic engineering standards.
• Deliver GenAI features using patterns like Retrieval Augmented Generation (RAG), prompt design, tool/function calling, and agent-style workflows.
• Build and maintain multi-step GenAI workflows using LangGraph, including traceability and evaluation.
• Build and operate cloud-native solutions on AWS, Azure, and/or Google Cloud Platform (GCP) using PaaS, FaaS, containers, and microservices.
• Implement continuous integration/continuous delivery (CI/CD), quality gates, security scanning, and release practices using tools such as Azure DevOps and/or GitHub and static analysis tools.
• Apply Site Reliability Engineering (SRE) fundamentals including instrumentation, monitoring/alerting, incident response readiness, and post-incident improvement.
• Embed privacy factors into design and delivery, ensuring GenAI solutions address PII/PHI handling, data residency needs, and safe logging/telemetry practices.
• Mentor engineers, support technical onboarding, and contribute to interviewing and hiring.
• Communicate tradeoffs, delivery status, and risks clearly; provide crisp technical recommendations aligned to business outcomes.

Requirements

• 6+ years professional software engineering experience with modern full-stack delivery.
• 3+ years building and deploying cloud-native solutions on AWS/Azure/GCP.
• 1+ years hands-on experience delivering GenAI capabilities in products or internal platforms.
• Prior experience with system design capability.
• Prior experience with Angular and/or React, Node.js, Python, C#, .NET Core, Java, and/or Golang, SQL and NoSQL databases.
• Prior experience with object-oriented programming (OOP), data structures/algorithms, secure coding, and performance considerations.
• Prior experience driving quality through code reviews, automated testing, and clean engineering practices.
• Prior experience with DevSecOps practices.
• Prior experience with privacy/security engineering practices.
• Prior experience with observability and operational readiness.
• Prior experience integrating with one or more LLM providers.
• Prior experience with GenAI building blocks: Orchestration frameworks, Embeddings and vector databases, Prompt engineering, and practical evaluation approaches.
• Prior experience with Python proficiency for GenAI services, pipelines, and evaluation utilities.
• Ability to obtain US Government security clearance.

Qualifications

• 6+ years professional software engineering experience with modern full-stack delivery, 3+ years building and deploying cloud-native solutions on AWS/Azure/GCP, and 1+ years hands-on experience delivering GenAI capabilities.

Skills

* Required skills