GMx-Transformation Architect AI- Automation Senior Manager

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Job Description Transformation Architect AI / Automation (Senior Manager)

Function: Clients & Industries EY Global Delivery Services India LLP

As part of EYs GMx (Global Managed Services Transformation) initiative we are re imagining how next-generation managed service transformations are designed and deliveredleveraging modern AI machine learning deep learning automation cloud-native engineering and intelligent operations to build future-ready insight-driven service delivery models.

The Opportunity

As part of EYs GMx (Global Managed Services Transformation) initiative this role leads AI driven transformation/ modernization across Managed Services. You will lead program manage architect and deliver next generation solutions using modern AI (Gen AI Agentic AI) machine learning deep learning MLOps automation with cloud native engineering to transform managed service operations into scalable cost effective value driven insight led AI enabled service models. This role enables EY to accelerate value enhance operational outcomes and build the future ready Managed Services operations.

Your Key Responsibilities

• Program manage and architect AI driven transformation initiatives for Managed Services.
• Hold customer discussions to enable the customer with required information and give direction the program.
• Act as TPM for the AI led managed service transformation programs - taking value driven tech decisions.
• Lead end to end delivery of AI modernization programs (design build deploy ship).
• Deliver AI/ML-driven transformation across multi year managed services engagements.
• Lead and mentor cross-functional teams (AI engineers ML engineers automation developers data engineers cloud specialists).
• Define governance delivery frameworks KPIs quality standards and operational oversight.
• Translate client needs into AI/automation/data use cases backlogs and solution roadmaps.
• Identify modernization opportunities using analytics automation discovery and process re-engineering.
• Drive continuous improvement using AIOps observability predictive insights and automation-first processes.
• Ensure security compliance data protection and operational stability across all AI and data platforms.

Technical Expertise Requirements

Use Cases & Architecture (Must)

• Ability to quickly understand new business processes and identify high ROI AI/ML transformation opportunities.
• Hands-on experience in architecting (technical solution architecture) AI/ML-driven transformation assets and platforms.
• Expertise in embedding security responsible/ethical AI and data governance into AI architectures while ensuring clear RoI and value realization.

Modern AI & Agentic AI (Must)

• Hands-on experience with LLMs GenAI and Agentic AI systems deployed in production on cloud using cloud native capabilities.
• Expertise in multi-agent orchestration tool-use agents workflow agents and enterprise-safe agentic architectures.
• Experience with vector databases embeddings RAG pipelines and AI orchestration frameworks.

Machine Learning & Deep Learning (Must)

• Strong grounding in supervised/unsupervised ML tree-based models forecasting and statistical modeling.
• Experience with CNNs RNNs/LSTMs Transformers and generative models.
• Proficiency in sklearn MLlib PyTorch TensorFlow or equivalent frameworks.
• Ability to build optimize validate and deploy ML/DL models at enterprise scale.

MLOps & AI Platform Engineering (Must)

• Strong understanding of CI/CD for ML model registries feature stores drift detection and model monitoring.
• Hands-on experience with Azure ML Databricks AWS Sagemaker Vertex AI or equivalent enterprise AI platforms.

Cloud-Native AI Engineering (Must)

• Ability to build deploy and operate containerized microservices based AI workloads on Azure/AWS/GCP using Docker Kubernetes AKS/EKS/GKE.
• Experience with serverless AI event-driven architectures GPU optimization and scalable inference patterns.
• Data Engineering (Desirable)
• Familiarity with lakehouses ETL/ELT streaming pipelines and real-time analytics.
• Experience with Databricks Spark and cloud-native data engineering services.

To Qualify for the Role You Must Have

• Ability to manage multiple Transformation programs simultaneously.
• 1216 years of experience in AI-driven technology delivery; 48 years in AI/ML leadership roles.
• Deep expertise in modern AI ML/DL MLOps automation and cloud-native engineering.
• Strong Python development background.
• Experience building deploying and shipping large-scale AI products in cloud-native production environments.
• Experience identifying high-value AI use cases through data-driven value quantification.
• Proven track record delivering complex AI-driven transformation programs.
• Strong stakeholder and client management skills.
• Preferred certifications: Cloud (Azure/AWS/GCP) AI/ML Technical Architecture for AI/ML.

Skills and Attributes for Success

• Strong analytical conceptual and problem solving skills.
• Excellent communication presentation and stakeholder engagement abilities.
• Quality-oriented and detail-focused mindset.
• Ability to work independently and manage complex multi-disciplinary programs.
• Effective leadership and mentoring skills across global teams.

Core Capabilities

• Methodical and structured thinking.
• Strong analytical and reasoning abilities.
• Effective communication and executive presence.
• Results-driven and quality-focused delivery mindset.

Functional Capabilities

• Ability to operate in dynamic cross-functional global environments.
• Strong team collaboration and ability to manage ambiguity.
• Highly motivated proactive and outcome-oriented.
• Strong organizational prioritization and multitasking abilities.

Additionally Youll Also Have

• Creative problem-solving capability.
• Self-driven attitude and strong ownership.
• Logical reasoning and high attention to detail.
• Ability to work across cultures and global teams.
• Strong networking and cross-team collaboration.
• Ability to build trust strengthen team cohesion and celebrate success.

What We Look For

• Experience with enterprise AI platforms and cloud-native deployment patterns.
• Strong grounding in MLOps AIOps automation and observability.
• Experience supporting transformation in Managed Services environments.
• Strong communication planning and stakeholder alignment skills.

What We Offer

• Continuous learning: Develop future-ready AI automation and cloud capabilities.
• Transformative leadership: Coaching and experiences to help you grow as a leader.
• Diverse and inclusive culture: A place where youre empowered to bring your authentic self.

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