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Description We are seeking a hands-on Senior Enterprise Architect in Artificial Intelligence (AI) to join our global Enterprise Architecture team. This role blends deep technical expertise with architectural design and practical implementation to drive AI-powered transformation initiatives.

As part of a forward-thinking global technology team, you’ll collaborate across business, data, and product functions to design and implement AI/ML solutions that enable digital products and services.

Key Responsibilities

Design and architect enterprise-scale AI/ML solutions across areas such as Machine Learning, Generative AI, Deep Learning, Virtual Assistants, and Cognitive Services (Vision/Image, Text/Language processing).

Develop and communicate AI roadmaps, future-state architectures, and design artifacts.

Rapidly prototype and build proof-of-concepts (PoCs) and MVPs for AI models and algorithms.

Evaluate and recommend AI/ML tools, platforms, and frameworks; conduct ROI analysis.

Experiment with and fine-tune LLMs, train custom models, and assess performance metrics.

Perform data exploration, cleansing, and feature engineering to prepare datasets for model training.

Guide and mentor engineering and data science teams through AI/ML solution design, deployment, and integration into enterprise workflows.

Continuously scan industry innovations and apply emerging AI/ML technologies to business problems.

What We’re Looking For

Strong technical and business acumen in creating technology-driven solutions.

Passion for experimenting with and adopting emerging AI/ML technologies.

Excellent communication and influencing skills; ability to present complex technical concepts to both technical and non-technical audiences.

Proven ability to balance timeliness, cost, and quality in solution design.

Experience leading digital transformation, target operating models, and performance improvement initiatives.

Qualifications

Bachelor’s degree in STEM or related field (MBA a plus).

5+ years in AI/ML solution architecture, prototyping, and experimentation.

5+ years working with AWS and/or Azure data, analytics, and AI services.

3+ years of experience with data science tools and frameworks.

Recent, hands-on experience with Generative AI, LLMs, and Agentic AI platforms.

Knowledge of cloud-native services (data storage, compute, networking, security).

Strong understanding of statistical methods, data preprocessing, and feature engineering. Requirements

+ Minimum bachelor’s degree qualification, with strong quantitative background (STEM education background (Science, Technology, Engineering & Mathematics) AND/OR an MBA preferred)

+ Deep knowledge of AI/ML tech across AWS/Azure and GCP.

+ Understanding of cloud-native services for data storage, compute, networking, and security

+ Proven grasp of statistical concepts (e.g., hypothesis testing, probability distributions, regression analysis).

+ Experience with data exploration, feature engineering, and data preprocessing techniques.

+ Technical proficiency, including:

+ 5+ years of hands-on AI/ML solution architecture and Hands-on prototyping and experimentation.

+ 5+ years of AWS/Azure data, Analytics and AI services

+ 3+ years hands-on of experience with data science tools and frameworks

+ Recent experience in Generative AI, Large Language Models (LLMs), Agentic AI platforms and solutions

Technology Doesn't Change the World, People Do.®

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