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Job Description
Structured overview of role & requirementsAbout This Role
Own the end-to-end architecture and delivery of an enterprise analytics platform integrating data sources, analytics libraries, AI agents, and tool layers with focus on scalability, security, and reliability.
Design and govern AI/agentic architecture including model strategy, LLM operations, evaluation, risk management, and compliance with Responsible AI standards.
Lead agile delivery, mentor engineers, collaborate with stakeholders, and manage architecture governance, technical roadmaps, and success metrics across platform surfaces.
Minimum Requirements
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
8+ years of production software development experience including at least 3 years as tech lead or solutions architect on data, analytics, or AI platforms.
Expert-level Python skills; experience with cloud platforms (AWS and/or Azure); strong knowledge of SQL and cloud data warehouses (Snowflake, BigQuery, Databricks).
Work Experience Required: 8+ years overall; 3+ years in lead/architect role on relevant platforms. Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experience designing or governing scalable AI agent frameworks, multi-tenant analytics platforms, or AI-enabled enterprise applications.
Deep expertise in AI/agentic systems architecture including LLMOps, evaluation pipelines, and AI threat modeling with adherence to Responsible AI and emerging regulatory compliance.
Strong background in cloud-native environments, system integration, operational excellence (FinOps, observability), and technical leadership in agile delivery contexts.