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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, mid-level experience, metro location, and broad technical requirements increase competition density.
Core GenAI, LLM, and data engineering skills transfer across industries, though asset-management domain knowledge is helpful.
Explicit minimum experience plus mandatory GenAI, Azure, Databricks, LLM and engineering skills make filters strict.
Job Description
Structured overview of role & requirementsAbout This Role
Lead execution of TAS Digital Strategy by delivering AI-enabled workflows and cross-business insights.
Design, build, and operate agentic AI workflows automating TAS-specific tasks including data ingestion, diagnostics, and reporting.
Integrate AI solutions with enterprise data platforms ensuring autonomous management information and analytics within TRDI.
Minimum Requirements
Engineering degree in Computer Science or related technical field, or any Engineering degree with Post Graduate degree/diploma in Data Sciences.
Minimum 3+ years hands-on experience designing and operating production-grade agentic AI solutions, including multiagent workflows and orchestration.
Strong experience with Azure data platforms (ADF, Databricks/Spark), data lakes, data modelling, and building monitored data pipelines integrated with enterprise data products.
Strong programming skills in Python (preferred) and/or Scala, SQL, and expertise in API/service development and automation. Work Experience Required: Minimum 3+ years in agentic AI solutions design and operation.
Ideal Candidate Profile
Experienced AI engineer with demonstrable success in building multiagent AI workflows and enterprise-grade AI orchestration.
Strong background in cloud data engineering, particularly Azure ecosystem, enabling scalable and reliable data solutions.
Capable of delivering integrated digital solutions aligned with corporate data governance, responsible AI principles, and continuous improvement in technical reporting.