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Job Description: Senior Manager, AI Architect (Oil & Gas/ Manufacturing)

EY Global Delivery Services (GDS)

Role Overview

The Senior Manager, AI Architect (Oil & Gas/ Manufacturing) will lead the strategy, design, and implementation of AI/MLdriven solutions for global Oil & Gas clients. This role demands a seasoned AI professional with 15+ years of overall experience, including 23 years of domain exposure in Oil & Gas, capable of architecting enterprise scale AI platforms, operationalizing advanced analytics, and driving innovation across the O&G; value chain.

The candidate will work closely with client stakeholders, data teams, and engineering groups to accelerate digital transformation using cutting-edge AI technologies.

Key Responsibilities

AI & Analytics Architecture

- Develop enterprise level AI architecture blueprints, reference models, and design patterns for O&G; business needs.
- Architect scalable AI ecosystems leveraging cloud platforms (Azure/AWS/GCP), MLOps frameworks, and modern data platforms.
- Define solution architectures for machine learning, predictive analytics, generative AI, computer vision, NLP, and optimization models.
- Design end to end AI pipelines, including feature store architecture, model deployment, monitoring, and retraining workflows.
- Ensure AI solutions incorporate standards for data security, privacy, lineage, governance, and ethical AI.

Solution Delivery & Technical Leadership

- Lead multi-disciplinary teams across AI/ML engineering, data science, data engineering, and platform teams.
- Provide hands-on guidance in solution design, modelling approach, algorithm selection,



and model lifecycle management.
- Oversee development of robust, production-grade AI systems ensuring reliability, accuracy, and maintainability.
- Conduct architecture reviews and ensure alignment with enterprise architecture and EY methodologies.
- Collaborate with engineering teams to integrate AI into operational systems, cloud-native services, and digital platforms.
- Oil & Gas Domain Enablement
- Develop AI solutions addressing key O&G; areas including:
- Production optimization
- Drilling efficiency & subsurface analytics
- Asset performance, reliability, and predictive maintenance
- Energy trading & forecasting
- Health, Safety & Environment (HSE) automation
- Architect AI systems using time-series, spatial, geoscience, IoT, SCADA data.
- Leverage industry platforms such as OSDU to design domain-specific AI and analytics solutions.
- Enable clients on adoption of advanced analytics frameworks tailored to upstream, midstream, and downstream operations.

Client Advisory & Stakeholder Management

- Serve as a trusted advisor to CXO-level stakeholders on AI strategy, capability building, and transformation programs.
- Translate business challenges into scalable AI solutions and articulate value propositions clearly.
- Manage client expectations, align on solution architecture decisions, and drive roadmap adoption.
- Lead proposal development, solutioning, and thought leadership for AI transformation initiatives in Oil & Gas.

Innovation, Optimization & Continuous Improvement





- Identify opportunities to embed AI across operations, value chains, and digital oilfield solutions.
- Lead development of reusable accelerators, frameworks, and toolkits for AI delivery.
- Conduct assessments of AI maturity and create roadmaps for capability uplift, modernization, and innovation.
- Stay abreast of emerging AI technologies, trends, and regulatory considerations to continually elevate EY GDS offerings.

Required Qualifications

- 15+ years of experience in AI/ML architecture, advanced analytics, or data science leadership roles.
- 23 years of hands-on AI experience in Oil & Gas industry (upstream/midstream/downstream).

Strong expertise in:

- ML/DL algorithms and architecture
- MLOps, model deployment, and lifecycle management
- Cloud-native AI frameworks (Azure ML, AWS Sagemaker, GCP Vertex AI)
- Enterprise data ecosystems, data lakes, and streaming architectures
- Experience working with IoT/SCADA systems, sensor data, time-series analytics, and geospatial data.
- Proven ability to design and deliver large-scale AI solutions across global organizations.
- Excellent stakeholder management, communication, and people leadership skills.
- Experience leading distributed, multi-vendor delivery teams.

Preferred Skills

- Experience with AI for digital oilfield, reservoir modelling, production forecasting, or predictive maintenance.
- Understanding of OSDU Data Platform and domain data models.
- Certifications in cloud platforms or AI/machine learning.
- Experience with Generative AI architectures and enterprise deployment patterns.
- Prior consulting experience in large-scale transformation programs (Big 4 background is a solid advantage).
- Familiarity with DataOps, DevOps, containerization (Docker/Kubernetes), and microservices-based architectures.

📌 BC sector - O and G - AI Architect - SM (Bengaluru)
🏢 EY
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