Back
Tier-1 brand and metro presence increase competition, but senior GenAI specialization reduces candidate density.
Generative AI, MLOps, and GenAI pipeline expertise are highly domain-specific and not easily transferable.
Mandatory 7+ years plus specialized GenAI/MLOps and platform skills imply stringent shortlisting filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Advise leadership on complex technology solutions across multiple domains including applications, networks, and security to address broad enterprise needs.
Lead strategy and resolve unique, large-scale challenges requiring deep evaluation and innovative, long-term solutions.
Provide technical vision, direction, and expertise on implementing significant business solutions involving advanced technologies and organizational objectives.
Minimum 7+ years of engineering experience or equivalent via work, training, military, or education.
Experience with Data Engineering and Pipeline Development, especially for Generative AI data (telemetry, usage, model outputs).
Knowledge or experience with Analytics & Dashboarding (executive dashboards for AI insights).
Work Experience Required: 7+ years in engineering or equivalent; Notice Period: Not explicitly mentioned in the JD.
Experienced in supporting Generative AI, Machine Learning, or AI platform initiatives with an understanding of MLOps/AIOps and AI observability frameworks.
Holds relevant cloud certifications such as Azure Data Engineer, Databricks, or Snowflake demonstrating capability in scalable cloud data solutions.
Able to operate strategically across multiple organizational levels, providing expert advice and aligning technology strategy with business objectives.