BC sector-O and G-AI Architect-SM

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/ML–driven solutions for global Oil & Gas clients. This role demands a seasoned AI professional with 15+ years of overall experience, including 2–3 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.
• 2–3 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 strong advantage).
• Familiarity with DataOps, DevOps, containerization (Docker/Kubernetes), and microservices-based architectures.