Overview
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
- 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 Appintegration (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 capabilityExpertise in event-driven architecture (EDA) principles and patternsArchitect and implement scalable AWS ML / AI cloud infrastructure in a multi-tenant SaaS environmentExperience in developing Data Architecture guidelinesGain alignment on solutions and ability to influence others with data pointsStrong understanding of security in distributed systemsExpertise in designing scalable, decoupled systemsDomain Experience
Strong functional knowledge and business processesStrong 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 methodsCollaboration, leadership and influence skills – Ability to collaborate with other architects, negotiate and influence stakeholders to produce right solutionBusiness acumen and strategic thinkingProblem solving and critical thinkingAdaptability and continuous learningRequirements
7-9 years of experience as a Lead Enterprise Architect or similarBS in Computer Science or related fields (Required)Master\'s Degree (Desirable)Full English FluencyIn-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 ExperienceBenefits
This position comes with competitive compensation and benefits package :
Competitive salary and performance-based bonusesComprehensive benefits packageCareer development and training opportunitiesFlexible work arrangements (remote and / or office-based)Dynamic and inclusive work culture within a globally renowned groupPrivate Health InsurancePension PlanPaid Time OffTraining & DevelopmentAbout 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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