Overview In this role you set the vision and technical direction for enterprise AI-enabled products, shaping architecture and code while aligning AI strategies with business goals. You lead cross-functional teams across product groups, drive standards and reference architectures, and deliver measurable value through scalable Applied AI and GenAI capabilities. You stay hands-on to influence design and engineering velocity, while mentoring engineers and engaging executives. This is a mission-driven opportunity to advance Deloitte's AI investments and product portfolio.
Responsibilities- Define and communicate a cross-enterprise Applied AI engineering vision aligned with business and technology strategy
- Advocate for and roadmap integrated AI architecture, ensuring KPI, maturity, compliance, and cost awareness
- Establish reference architectures, standards, and best practices across AI/ML/GenAI; oversee SSDLC from discovery to production with automation
- Mentor engineers and leaders in modern AI engineering practices (cloud-native, microservices, data engineering, IaC)
- Lead iterative value-driven delivery with lean processes, balancing speed and quality
- Maintain customer-centric focus to minimize complexity and ensure value delivery
- Drive risk management, security, reliability, and performance benchmarks
- Communicate trade-offs clearly to stakeholders and senior leadership
- Engage across teams and executives to co-create momentum and value
Key requirements- 10+ years of full-stack software engineering experience with modern tech stack
- 7+ years architecting and delivering enterprise solutions on cloud-native architectures
- 5+ years leading engineering standards and guiding team adoption
- 2+ years with AI/ML and agentic applications, GenAI with LLM integration and RAG pipelines
- Experience with AI frameworks and agent orchestration tools; knowledge of BCD/diagramming and AI-augmented development
- Proven experience with XP/Lean/DevSecOps/SRE/CI/CD tools (ADO, GitHub, SonarQube, MLflow, LangFuse/LangSmith)
- Experience with cloud providers (Azure, AWS, GCP) and FinOps-aware engineering
- Ability to work onsite min 3 days/week in select locations; US work authorization; travel 0-10%
- Interpersonal and organizational skills
- Mentoring and leadership
- Strategic communication
- Angular
- React
- NodeJS
