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Tier-1 employer and popular GenAI/ML role but senior requirement narrows applicant pool.
GenAI systems and data architecture expertise transferable across industries but requires ML/AI domain experience.
Explicit 8+ years requirement plus mandatory GenAI, Python, FastAPI and cloud skills.
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Lead design and execution of data architecture strategies including data warehouses, data lakes, and scalable cloud storage.
Drive innovation and thought leadership in AI, ML, and advanced data technologies to align technical solutions with business needs.
Ensure compliance with data governance, security policies, and manage cross-functional collaboration to enhance data architecture.
Bachelor's Degree is mandatory.
Minimum 8 years of relevant work experience.
Proficiency in Python, SQL, and relational databases required.
Experience with cloud certifications (AWS, Azure, GCP, Snowflake, Databricks) is a plus but not mandatory.
Experienced in leading complex data architecture projects involving AI, ML, and large language models.
Skilled in developing and maintaining FastAPI endpoints and prompt engineering for LLM outputs.
Comfortable with high travel demands up to 80% and managing data security and IAM roles in cloud platforms.