Job Description

Transformation Architect AI / Automation (Manager).

Function: Clients & Industries, EY Global Delivery Services India LLP

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

Your Key Responsibilities

- Lead 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 tech lead for the AI led managed service transformation programs - taking value driven tech decisions.
- Lead end to end delivery of AI modernization modules under transformation programs (design build deploy ship). Own up part of program management activities.
- 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 MLOps & AI Platform Engineering (Must)
- 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.

Cloud-Native AI Engineering (Must)
- Solid 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.

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 lead Transformation programs (multiple modules).
- 812 years of experience in AI-driven technology delivery; 36+ 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.

📌 GMx-Transformation Architect - AI- Automation -Manager (Bengaluru)
🏢 EY
📍 Bengaluru