Remote FBS Lead Enterprise Architect MLOps

Description:

• The Lead Enterprise MLOps Architect is responsible for designing and orchestrating the entire framework for building, deploying, and managing machine learning models at scale across the organization.
• This role blends software engineering, data science, and DevOps principles to create efficient and reliable ML systems.
• Key responsibilities include building AI/ML strategy and roadmap, utilizing DevOps tools such as Argo CD and Argo Workflows, and working with MLOps tools like AWS Sagemaker, GCP Vertex Studio, and Databricks.
• The architect will also handle containerization using Kubernetes and ROSA, orchestrate ML and data pipelines with Kubeflow and Apache Airflow, and integrate enterprise applications like Guidewire and Salesforce.
• Experience with data platforms such as Snowflake, RedShift, and BigQuery, as well as ML feature store tools like Tecton and Databricks, is required.
• Familiarity with GenAI tools and models, API orchestration tools, and strong knowledge of data mesh architecture and data product design is essential.
• The role demands expertise in event-driven architecture principles, scalable AWS ML/AI cloud infrastructure, and developing data architecture guidelines.
• Strong communication, collaboration, leadership, and problem-solving skills are necessary, along with a deep understanding of the insurance domain or similar industries.

Requirements:

• Candidates must have 7-9 years of experience as a Lead Enterprise Architect or in a similar role.
• A Bachelor’s degree in Computer Science or related fields is required, while a Master’s degree is desirable.
• Full English fluency is mandatory.
• In-depth logical and practical knowledge in Data Architecture in MLOps for at least 5 years is required.
• Candidates should possess architecture experience, particularly in Computer Science, Artificial Intelligence, and Machine Learning Enterprise Architecture.
• Strong functional knowledge of business processes and a solid understanding of insurance domains such as underwriting, claims processing, and services operations are essential.
• The ability to communicate effectively, tell a story using methods like STAR, and influence stakeholders is crucial.
• Candidates should demonstrate adaptability, continuous learning, and strategic thinking.

Benefits:

• The position offers a competitive salary along with performance-based bonuses.
• A comprehensive benefits package is provided, including private health insurance and a pension plan.
• There are career development and training opportunities available.
• Flexible work arrangements, including remote and/or office-based options, are offered.
• The work culture is dynamic and inclusive within a globally renowned group.
• Paid time off is included, along with training and development programs.