Job Title: Senior Enterprise Solutions Architect (AI/Data Platform)

Job Title: Senior Enterprise Solutions Architect (AI/Data Platform)
Location: Onsite – 4 days/week

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About the Role:

We’re seeking a Senior Enterprise Solutions Architect to join a high-impact team. This role is focused on building a cutting-edge knowledge platform that supports both internal and external use cases, including internal knowledge hubs and future-facing AI-powered tools across business verticals.

You will join an already-in-progress initiative to design and implement enterprise-scale solutions that bridge data, AI/LLM, and cross-functional business needs. This role requires a technically strong individual who is adaptable, cross-platform, and experienced in leading complex projects through collaboration with architecture, InfoSec, and business teams.

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Key Responsibilities:

• Lead and contribute to 2–3 enterprise-level projects, focusing on data architecture, modeling, and integration.

• Collaborate with business stakeholders to translate requirements into scalable technical solutions.

• Work on cross-platform enterprise architecture – not tied to a single technology.

• Design and implement data solutions using Azure ecosystem (Azure Data Factory, Data Lakes, Databricks).

• Contribute to development and refinement of AI/LLM-powered features using tools like OpenAI, Gemini models, and Microsoft Azure ML.

• Help shape the evolving enterprise knowledge platform — internal content management, knowledge tools, and long-term external capabilities.

• Join projects midstream and quickly ramp up to deliver impact from day one.

• Maintain a balance of 70% hands-on technical work and 30% leadership/management.

• Stay current with AI and platform trends to ensure our solutions remain cutting-edge.

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Required Qualifications:

• 8–10 years of overall experience in software/data engineering or enterprise architecture (lesser experience considered for exceptional candidates).

• Proven experience with 3–4 enterprise-level applications/projects.

• Strong experience with Azure (especially Data Factory, Data Lake, Databricks).

• Proficiency in Python, particularly in data and modeling workflows.

• Experience working with large-scale data systems, data modeling, and enterprise data frameworks.

• Familiarity with LLMs and AI platforms like OpenAI or Gemini.

• Excellent cross-functional collaboration skills

• Strong communication, leadership, and problem-solving skills.

• Able to work onsite 4 days/week.

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Nice to Have:

• Prior experience working in banking or financial services.

• Self-starter who can adapt to evolving requirements and changing technologies.

• Not rigid – open to ambiguity and able to pivot based on business priorities.

• Experience collaborating with global teams (e.g., India/Chennai).

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Team & Interview Process:

• You’ll work closely with 2 architects onsite and 1 architect in Chennai.

• Interview process:

• Round 1: Microsoft Teams (remote)

• Round 2: In-person interview onsite

• We are looking for someone who is interested in growing with the team long-term.