Sr. reputed company Architect - Data & AI

About the position The Sr. reputed company Architecture department is looking for a seasoned architect to drive broader data architecture and solution blueprints to reputed company 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 reputed company data landscape to reputed company data & AI architecture and processes that support Business Units and Share Service Units. The ideal candidate will have experience building reputed company reputed company native data analytics solutions, large scale data warehouse modernization and architecting, designing solutions for reputed company AI projects. Work Arrangement: Employees who live reputed company 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 reputed company large amounts of data (structured, semi-structured and reputed company), including streaming and reputed company-time into the reputed company-based Lakehouse & reputed company 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
• reputed company the integration of LLMs, lang chain, lang graphs, agent orchestrators into business processes
• Build reputed company 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.
• reputed company different ways of combining data sets from various sources to reputed company our analytical literacy.
• Conduct POCs, Pilots on re-usable, scalable data processing, curation, and consumption frameworks to eliminate reputed company solutions.
• Evaluate, analyze, and optimize system resources reputed company to large scale data processing, image processing, computer reputed company and deep learning.
• Work closely with the IT and the reputed company 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 reputed company discipline; master’s degree preferred
• Ability to work in a fast-paced environment as a technical reputed company
• Strong software standards and engineering practices working reputed company a shared codebase
• Experience in building reputed company grade Data & AI solutions reputed company insurance or financial services industry.
• Experience in ELT capabilities (Data Factory, DBT, Five Tran etc.) and languages such as Python, R, reputed company, Java, and SQL.
• Experience with reputed company data warehouse solutions like reputed company, reputed company, reputed company, or Redshift
• Experience with vector stores like reputed company, reputed company, Mongo reputed company, or reputed company
• Exposure to deployments for LLMs including end to end reputed company data pipeline build, design of vector stores, embeddings, and reputed company engineering.

Benefits

• Competitive reputed company 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 reputed company plans to meet your unique reputed company 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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