
AI Engineer
3 weeks ago
Lead AI Engineer & Intermediate AI Engineer (Regulatory Workflow Automation)
Openings: 1 Lead + 1 Intermediate
Location: Bangalore (Hybrid — 2–3 days/week onsite)
Category: AI Engineering – Regulatory & Compliance Automation
About the team
We're building AI-powered, automated workflows for compliance-heavy business processes. You'll work closely with domain SMEs to translate rules and manual steps into scalable AI/ML-driven automation on Databricks and Azure.
What you'll do
- Build & deploy automated workflows for regulatory/compliance processes (ingestion → transformation → decisioning).
- Design agentic flows (LangChain/AutoGen) to orchestrate data pipelines and decisions.
- 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.
- Partner with SMEs and engineering to re-design processes for scalability and auditability.
Must-have skills
- Python (strong), 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).
- Strong problem solving & stakeholder communication.
Nice-to-have
- Experience with event-driven architectures, feature stores, and policy-as-code.
- Exposure to governance/lineage/observability tools.
Experience bands
- 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.
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