AI Workflow Automation Expert

1 week ago

Ellore, Andhra Pradesh, India beBeeAutomation Full time ₹ 1,00,00,000 - ₹ 2,50,00,000
AI Automation Specialist

We are building scalable AI-driven automation on Databricks and Azure to streamline compliance-heavy business processes.

Your Key Responsibilities:

  • Create & deploy automated workflows for regulatory/compliance processes (ingestion → transformation → decisioning).
  • Design data pipelines and decisions using LangChain/AutoGen.
  • Implement impact analysis for risk, compliance, and cost assessments.
  • Leverage Databricks (notebooks, jobs, DLT) for large-scale workflows and monitoring.
  • Productionize solutions with CI/CD; containerize using Docker/Kubernetes on Azure.

You Will Need:

  • Strong Python skills, Prompt Engineering, LangChain / AutoGen (agentic workflows).
  • Databricks expertise: notebooks, pipelines, DLT, jobs, monitoring.
  • Familiarity with regulatory/compliance data and workflows.
  • CI/CD (GitHub/Jenkins/Azure DevOps), Docker/K8s, cloud deployment (Azure preferred).

Benefits Include:

  • Experience with event-driven architectures, feature stores, and policy-as-code.
  • Exposure to governance/lineage/observability tools.

Typical Qualifications:

  • Lead AI Engineer: 7–10+ years overall; 3+ years in AI workflow automation; prior mentoring/ownership of production systems.
  • Intermediate AI Engineer: 3–6 years overall; hands-on with Databricks + agent frameworks; eager to own modules end-to-end.

As An AI Automation Specialist, You Will Work Closely With Domain SMEs To Translate Rules And Manual Steps Into Scalable AI/ML-Driven Automation On Databricks And Azure.

The Role Involves Designing Agentic Flows To Orchestrate Data Pipelines And Decisions. You Will Implement Impact Analysis For Risk, Compliance, And Cost Assessments Using Databricks (Notebooks, Jobs, DLT). Productionizing Solutions With CI/CD And Containerizing Using Docker/Kubernetes On Azure Are Also Key Responsibilities.

We Are Looking For Experienced Professionals Who Can Leverage Their Skills In Python, Prompt Engineering, And LangChain/AutoGen To Drive Business Process Automation Forward.

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