Lead AI Engineer || Immediate Joiner || Hybrid || Bangalore

Experience Required: 8+ to 12 Years (Mandatory)

Mode of work: Hybrid (Bangalore Only)

Skills Required:

Notice Period : Immediate Joiners/ Permanent/Contract role (Can join within 15th December 2025)

Key Responsibilities:

• Technical Skills:

• Proficiency in Python for AI development, including libraries like Pandas, NumPy, Scikit-learn, and agentic frameworks (e.g., LangChain, AutoGen).
• Strong exposure to Databricks, including building notebooks, jobs, Delta Live Tables (DLT), and integrating with cloud services (e.g., AWS, Azure).
• Familiarity with regulatory data handling, including data governance, versioning, and compliance tools.

Key Responsibilities:

• Workflow Automation Development:

  Design, build, and deploy automated workflows for supply chain use cases, integrating AI to process and analyze regulatory data (e.g., compliance standards, tariffs, and environmental regulations).

• Impact Analysis Integration:

  Implement agentic systems where parameter changes (e.g., in supply chain models or regulatory thresholds) automatically initiate workflows to generate comprehensive impact analyses, including risk assessments, cost implications, and compliance checks.

• Agentic Framework Building:

  Leverage Python to develop autonomous AI agents capable of decision-making, data ingestion, transformation, and orchestration in supply chain scenarios, using frameworks like LangChain, CrewAI, or similar.

• Databricks Utilization:

  Utilize Databricks Mosaic for building AI/ML workflows

• Testing and Deployment:

  Conduct rigorous testing of AI agents and workflows, deploy solutions in production environments, and monitor for anomalies using tools like MLflow on Databricks.

• Innovation and Research:

  Stay updated on emerging AI technologies for agentic systems and supply chain automation, proposing enhancements to existing processes.

Interested candidates can share your resume to Pavithra.tr@enabledata.com for a quick response