EY-GDS Consulting-AIA-Agentic AI Engineer-Manager

Career Family   

AIA – Agentic AI ENGINEER

 

Role Type

Full Time

 

The opportunity

We are seeking a dynamic Manager to join our AI & Data Tech Consulting team, focused on driving data-driven transformations. The ideal candidate will bring a unique blend of AI strategy consulting, data & enterprise data assessments and hands-on experience in leading cross-functional teams to deliver scalable and impactful solutions.

You will work closely with C-suite leaders, operating partners, and portfolio company executives to help them leverage Agentic AI, analytics, and data-driven platforms to unlock value, accelerate digital transformation, and create competitive advantage.

 

Your key responsibilities

Technical Excellence:

AI And Data Consulting 

• Partner with Operating Partners and leadership teams to define and execute Agentic AI, GenAI, and analytics-driven strategies.
• Develop and deploy AI implementation playbooks, frameworks, and accelerators that drive tangible value creation.
• Assess technology cost optimization, data monetization, and digital transformation opportunities across portfolio companies.
• Knowledge of business process transformation would be an added advantage.

 

AI‑Ready Data And Enterprise Data Assessments

• Assess whether data is clean, secure, well‑structured, and ready for AI i.e.: AI-readiness evaluation (quality, lineage, security, architecture)
• Review existing enterprise data to identify gaps and issues and evaluate the strength of data foundations across ERP and core systems
• Define clear, prioritized actions to fix gaps and enable AI use cases
• Apply assessments during diligence, post‑merger integration, and 100‑day plans
• Convert findings into clear business cases with ROI and value impact

AI And Digital Transformation

• Lead Agentic AI initiatives, translating business and functional requirements into agent architectures, workflows, and capabilities.
• Build proprietary AI/ML accelerators to enhance business processes such as customer care, software development, predictive analytics, and operational automation
• Stay ahead of emerging trends in AI, LLMs, process mining, and advanced analytics to deliver cutting-edge solutions
• Familiarity with process mining tools like Celonis, Signavio, or PAFnow.
• Experience with Agentic AI frameworks (e.g., LangChain, semantic kernels, Autogen)
• Proficiency in Python and retrieval-augmented generation (RAG)
• Understanding of basic data structures and algorithms
• Working knowledge of: REST APIs, JSON, Async workflows

 

Data And Analytics Strategy

• Architect data solutions leveraging cloud platforms, data engineering frameworks, and predictive analytics models to solve complex business challenges.
• Guide portfolio companies on setting up data governance frameworks, data marketplaces, and analytics COEs.
• Design end-to-end data transformation programs, from roadmap creation to solution implementation.
• Strong understanding of Cloud platforms (Azure / AWS / GCP), data visualization tools, and analytics solutions.
• Exposure to ERP transformations (e.g., Dynam