Product Engineering PxE Platforms Group Engineering Leader

About This Role

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

Responsibilities

• Own delivery for an engineering workstream (scope, plan, dependencies, risks), coordinating with 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 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.
• Apply Site Reliability Engineering (SRE) fundamentals, instrumentation, monitoring/alerting, incident response readiness, and post-incident improvement.
• Embed privacy factors into design and delivery and ensure GenAI solutions address PII/PHI handling, data residency needs, and safe logging/telemetry practices.
• Operate within Scaled Agile Framework (SAFe), Lean, and Extreme Programming (XP) practices as applicable; contribute to sprint planning, story refinement, and technical acceptance criteria.
• 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 (distributed systems, API-first design, scalability, resiliency, caching, data modeling, security patterns)
• Prior experience with multiple of the following (depth in at least one primary stack): 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 (CI/CD, branching strategies, automated testing, security scanning, quality gates)
• Prior experience with privacy/security engineering practices: PII classification, least privilege, encryption in transit/at rest, secrets handling, retention controls, and audit logging
• Prior experience with observability and operational readiness (logs/metrics/traces; incident practices)
• Prior experience integrating with one or more LLM providers (e.g., OpenAI, Anthropic Claude, Google Gemini) and applying appropriate usage patterns
• Prior experience with GenAI building blocks: Orchestration frameworks (e.g., LangChain and LangGraph or equivalent), Embeddings and vector databases, Prompt engineering and structured outputs, Practical evaluation approaches and basic guardrails (grounding, input/output controls, safety filters)
• 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