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Job Title: Senior Enterprise Solutions Architect

Location: Onsite 4 days/week (Hybrid)

Type: Full-Time / Contract

About the Role:

Join a high-impact team building a next-gen enterprise knowledge platform , supporting both internal hubs and AI-powered tools. This is a hands-on architecture role blending data, AI/LLM, and cross-functional business needs.

What You'll Do:

Lead 2 3 enterprise-scale projects involving data architecture, modeling, and integration Collaborate with stakeholders to design scalable, cross-platform solutions Architect and implement solutions using Azure Data Factory, Data Lakes, and Databricks Build and enhance AI/LLM capabilities using tools like OpenAI, Gemini, and Azure ML Drive platform evolution, including internal knowledge tools and future external offerings Split time: 70% technical / 30% leadership Stay ahead of AI and platform trends

Requirements:

8 10 years in software/data engineering or enterprise architecture Proven experience delivering 3 4 large-scale enterprise projects Strong with Azure (Data Factory, Data Lake, Databricks) and Python Familiarity with LLMs, OpenAI, Gemini, or similar AI platforms Excellent communication and leadership skills Ability to work onsite 4 days/week

Nice to Have:

Experience in banking or financial services Comfortable with ambiguity and shifting priorities Experience working with global teams (e.g., Chennai)

Team & Interview Process:

Team: Work with 2 architects (onsite) + 1 architect (Chennai) Interview Rounds: Round 1: Remote via Microsoft Teams Round 2: Onsite interview

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