FBS Lead Enterprise Architect MLOps

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This range is provided by Capgemini. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

MX$1.00 / yr - MX$1.00 / yr

Our Client is one of the United States' largest insurers, providing a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our Client is part of one the largest Insurance Groups in the world.

A Lead Enterprise MLOps Architect is responsible for designing and orchestrating the entire framework for building, deploying, and managing machine learning models at scale across an organization. They blend software engineering, data science, and DevOps principles to create efficient and reliable ML systems.

Key Responsibilities

• Experience in building AI / ML Strategy & Roadmap
• MLOps Tools (Eg. AWS Sagemaker, GCP Vertex Studio, Databricks, etc)
• Data Platforms (Snowflake, RedShift, BigQuery)
• ML Feature Store Tools (Tecton, Databricks, FeatureForm)
• GenAI Tools / Model (LLM) Experience such as OpenAI, Gemini, etc
• API Orchestration Tools such as Mulesoft, Google Cloud API
• Strong knowledge of data mesh architecture and data product design (e.g., decentralized data ownership, clear data contracts)
• Experience in creating strategy, Vision, Roadmap, Reference Arch and patterns for a business / technical capability
• Expertise in event-driven architecture (EDA) principles and patterns
• Architect and implement scalable AWS ML / AI cloud infrastructure in a multi-tenant SaaS environment
• Gain alignment on solutions and ability to influence others with data points
• Strong understanding of security in distributed systems
• Expertise in designing scalable, decoupled systems

Domain Experience

Soft Skills & Cultural Fit

Adaptability and continuous learning

Requirements

This position comes with competitive compensation and benefits package :

About Capgemini

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2023.

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