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 Responsabilities
Data & Analytics Technology experience
•Experience in building AI/ML Strategy & Roadmap
•DevOps (Argo CD / Argo Workflows)
•MLOps Tools (Eg. AWS Sagemaker,GCP Vertex Studio, Databricks, etc,)
•Containerization (Kubernetes, ROSA)
•ML & Data Pipeline Orchestration (Kubeflow, Apache Airflow)
•Enterprise Appln integration (Guidewire, Salesforce)
•Data Platforms (Snowflake, RedShift, BigQuery)
•ML Feature Store Tools (Tecton, Databricks, FeatureForm)
•GenAI Tools / Model (LLM) Experience such as OpenAI, Gemini, etc.
•Agentic AI Framework (LangGraph, Autogen, Google ADK, etc.)
•API Orchestration Tools such as Mulesoft, Google Cloud API
Architecture Experience
•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.
•Experience in developing Data Architecture guidelines
•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
•Strong functional knowledge and business processes
•Strong understanding of Insurance (or any industry) domains such as UW (Policy), Claims processing, Services Operations (PLUS)
Soft Skills & Cultural Fit
•Communication & Story Telling. Ability to tell a story using STAR or other methods
•Collaboration, leadership and influence skills – Ability to collaborate with other architects, negotiate and influence stakeholders to produce right solution
•Business acumen and strategic thinking
•Problem solving and critical thinking
Adaptability and continuous learning
•7-9 years of experience as a Lead Enterprise Architect or similar
• BS in Computer Science or related fields (Required)
• Master's Degree (Desirable)
• Full English Fluency
•In-depth logical and practical knowledge in Data Architecture in MLOPs for at least 5 years (Required)
•Architecture experience, Computer Science Artificial Intelligence and Machine Learning Enterprise Architecture Data Architecture Experience
This position comes with competitive compensation and benefits package:
- Competitive salary and performance-based bonuses
- Comprehensive benefits package
- Career development and training opportunities
- Flexible work arrangements (remote and/or office-based)
- Dynamic and inclusive work culture within a globally renowned group
- Private Health Insurance
- Pension Plan
- Paid Time Off
- Training & Development
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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