Deloitte · 6 hours ago
Product Engineering | PxE Platforms | Group Engineering Leader
Detroit, MI
Full-time
Hybrid
Senior Level
$144K/yr - $296K/yr
6+ years expDeloitte is a leading professional services firm, and they are seeking a Group Engineering Leader to lead a full-stack engineering workstream delivering cloud-native products and Generative AI capabilities. The role involves overseeing technical execution, ensuring secure delivery, and collaborating with various stakeholders to translate requirements into effective software solutions.
AccountingConsultingFinancial ServicesLegalProfessional ServicesRisk Management
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Own delivery for an engineering workstream (scope, plan, dependencies, risks), coordinating across engineers, product, QA, and platform/security partners
Produce and socialize system designs (component diagrams, sequence flows, data flows, scalability/resiliency patterns, failure modes), and drive 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 (stateful execution, routing, tool use, human-in-the-loop patterns), including traceability and evaluation
Build and operate solutions on AWS, Azure, and/or Google Cloud Platform (GCP) using Platform as a Service (PaaS), Functions as a Service (FaaS), containers, and microservices
Implement continuous integration/continuous delivery (CI/CD), quality gates, security scanning, and release practices using tools such as Azure DevOps (ADO) and/or GitHub, plus static analysis tools (e.g., SonarQube)
Apply Site Reliability Engineering (SRE) fundamentals-instrumentation, monitoring/alerting, incident response readiness, and post-incident improvement
Embed privacy factors into design and delivery (data minimization, purpose limitation, retention, consent/notice where applicable, access controls, encryption, secrets management, auditing). 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
Qualification
Required
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 fundamentals, API-first design, scalability, resiliency, caching, data modeling, and 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 where applicable)
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
Must be able to obtain US Government security clearance
Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve
Benefits
Discretionary annual incentive program
Company
Deloitte
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Anne Muraya
Chief Executive Officer - East Africa
Joe Ucuzoglu
Global Chief Executive Officer
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