Sr. Enterprise Architect - Data & AI
About the position
The Sr. Enterprise Architecture department is looking for a seasoned architect to drive broader data architecture and solution blueprints to modernize data and AI ecosystems. The Data and AI Architect will be the key contributor to developing and executing of Data & AI strategy for the Data Engineering, Data Science, BI, and AI teams and will build the architecture, systems and technologies required to have a best-in-class Data & AI ecosystem. This role will work on the modernization of current data landscape to next generation data & AI architecture and processes that support Business Units and Share Service Units. The ideal candidate will have experience building complex cloud native data analytics solutions, large scale data warehouse modernization and architecting, designing solutions for complex AI projects. Work Arrangement: Employees who live within 30 miles of the TMG home office are expected to follow a hybrid or in-office schedule. The initial training period may require additional in‑office days.
Responsibilities
• Architect & design scalable solutions to ingest, store and process very large amounts of data (structured, semi-structured and unstructured), including streaming and real-time into the cloud-based Lakehouse & cloud data warehouse.
• Take ownership of operationalization of Agentic AI flows while designing solutions to optimize data pipelines, model deployment, and model monitoring
• Architect blueprints for production grade, scalable end-to-end Data & AI solutions
• Lead the integration of LLMs, lang chain, lang graphs, agent orchestrators into business processes
• Build enterprise grade, highly reusable data assets for analytics consumption.
• Partner with analytics experts, data scientists, and Business Unit analysts to build self-service experiences in our data democratization platform.
• Innovate different ways of combining data sets from various sources to augment our analytical literacy.
• Conduct POCs, Pilots on re-usable, scalable data processing, curation, and consumption frameworks to eliminate point solutions.
• Evaluate, analyze, and optimize system resources related to large scale data processing, image processing, computer vision and deep learning.
• Work closely with the IT and the cloud infrastructure teams to deliver technical solutions. This includes end to end Agent orchestration, data layering, data/AI governance and metadata.
Requirements
• Bachelor’s degree in computer science, Engineering, or related discipline; master’s degree preferred
• Ability to work in a fast-paced environment as a technical lead
• Strong software standards and engineering practices working within a shared codebase
• Experience in building enterprise grade Data & AI solutions within insurance or financial services industry.
• Experience in ELT capabilities (Data Factory, DBT, Five Tran etc.) and languages such as Python, R, Scala, Java, and SQL.
• Experience with cloud data warehouse solutions like Snowflake, Databricks, Fabric, or Redshift
• Experience with vector stores like Elastic, Pinecone, Mongo Atlas, or Redis
• Exposure to deployments for LLMs including end to end unstructured data pipeline build, design of vector stores, embeddings, and prompt engineering.
Benefits
• Competitive base salary plus incentive plans for eligible team members
• 401(K) retirement plan that includes a company match of up to 6% of your eligible salary
• Free basic life and AD&D, long-term disability and short-term disability insurance
• Medical, dental and vision plans to meet your unique healthcare needs
• Wellness incentives
• Generous time off program that includes personal, holiday and volunteer paid time off
• Flexible work schedules and hybrid/remote options for eligible positions
• Educational assistance
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The Sr. Enterprise Architecture department is looking for a seasoned architect to drive broader data architecture and solution blueprints to modernize data and AI ecosystems. The Data and AI Architect will be the key contributor to developing and executing of Data & AI strategy for the Data Engineering, Data Science, BI, and AI teams and will build the architecture, systems and technologies required to have a best-in-class Data & AI ecosystem. This role will work on the modernization of current data landscape to next generation data & AI architecture and processes that support Business Units and Share Service Units. The ideal candidate will have experience building complex cloud native data analytics solutions, large scale data warehouse modernization and architecting, designing solutions for complex AI projects. Work Arrangement: Employees who live within 30 miles of the TMG home office are expected to follow a hybrid or in-office schedule. The initial training period may require additional in‑office days.
Responsibilities
• Architect & design scalable solutions to ingest, store and process very large amounts of data (structured, semi-structured and unstructured), including streaming and real-time into the cloud-based Lakehouse & cloud data warehouse.
• Take ownership of operationalization of Agentic AI flows while designing solutions to optimize data pipelines, model deployment, and model monitoring
• Architect blueprints for production grade, scalable end-to-end Data & AI solutions
• Lead the integration of LLMs, lang chain, lang graphs, agent orchestrators into business processes
• Build enterprise grade, highly reusable data assets for analytics consumption.
• Partner with analytics experts, data scientists, and Business Unit analysts to build self-service experiences in our data democratization platform.
• Innovate different ways of combining data sets from various sources to augment our analytical literacy.
• Conduct POCs, Pilots on re-usable, scalable data processing, curation, and consumption frameworks to eliminate point solutions.
• Evaluate, analyze, and optimize system resources related to large scale data processing, image processing, computer vision and deep learning.
• Work closely with the IT and the cloud infrastructure teams to deliver technical solutions. This includes end to end Agent orchestration, data layering, data/AI governance and metadata.
Requirements
• Bachelor’s degree in computer science, Engineering, or related discipline; master’s degree preferred
• Ability to work in a fast-paced environment as a technical lead
• Strong software standards and engineering practices working within a shared codebase
• Experience in building enterprise grade Data & AI solutions within insurance or financial services industry.
• Experience in ELT capabilities (Data Factory, DBT, Five Tran etc.) and languages such as Python, R, Scala, Java, and SQL.
• Experience with cloud data warehouse solutions like Snowflake, Databricks, Fabric, or Redshift
• Experience with vector stores like Elastic, Pinecone, Mongo Atlas, or Redis
• Exposure to deployments for LLMs including end to end unstructured data pipeline build, design of vector stores, embeddings, and prompt engineering.
Benefits
• Competitive base salary plus incentive plans for eligible team members
• 401(K) retirement plan that includes a company match of up to 6% of your eligible salary
• Free basic life and AD&D, long-term disability and short-term disability insurance
• Medical, dental and vision plans to meet your unique healthcare needs
• Wellness incentives
• Generous time off program that includes personal, holiday and volunteer paid time off
• Flexible work schedules and hybrid/remote options for eligible positions
• Educational assistance
Apply tot his job
Apply To this Job