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Sodexo - Global Artificial Intelligence Architect

SODEXO INDIA SERVICES PRIVATE LIMITED
10 - 12 Years
Gurgaon/Gurugram

Posted on: 17/03/2026

Job Description

Job Description :


The ideal candidate will have deep expertise in AI/ML, Generative AI, and large-scale distributed systems, along with experience in driving enterprise AI transformation programs across geographies.


Key Responsibilities :


AI Strategy & Architecture :


- Define and own the enterprise AI vision, roadmap, and reference architecture


- Design scalable AI platforms supporting ML, Deep Learning, and Generative AI use cases


- Establish AI architecture standards, frameworks, and best practices


- Drive adoption of AI-first solutions across business functions


Generative AI & Advanced AI Solutions :


- Architect solutions leveraging LLMs, RAG, NLP, Computer Vision, and AI copilots


- Design and deploy enterprise-grade GenAI applications (chatbots, document intelligence, knowledge assistants)


- Evaluate and integrate open-source and commercial AI models


- Ensure responsible AI practices, explainability, and model governance


Platform Engineering & MLOps :


- Build and scale AI/ML platforms and pipelines (MLOps)


- Design model lifecycle management including training, validation, deployment, and monitoring


- Implement CI/CD for ML models, feature stores, and data pipelines


- Ensure scalability, performance, and reliability of AI systems


Data Architecture & Engineering :


- Define data strategy, governance, and architecture for AI use cases


- Work with structured and unstructured data (data lakes, warehouses, real-time streaming)


- Enable data quality, lineage, and security frameworks


- Collaborate with data engineering teams for pipeline optimization


Cloud & Infrastructure :


- Architect AI solutions on AWS, Azure, or GCP


- Leverage services such as SageMaker, Azure ML, Vertex AI


- Design GPU-based, distributed computing environments


- Optimize cost, performance, and scalability of AI workloads


Security, Governance & Compliance :


- Ensure adherence to data privacy laws (GDPR, etc.) and AI governance frameworks


- Implement model security, access control, and ethical AI practices


- Define auditability, bias detection, and fairness mechanisms


Stakeholder & Global Leadership :


- Partner with CIOs, CTOs, business leaders, and global stakeholders


- Translate business problems into AI-driven solutions


- Lead cross-functional teams across regions and time zones


- Act as a thought leader and AI evangelist

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