DevOps, MLOps & GenAI Platform Owner

1. Platform Ownership (Ops + Governance)

• Own production systems: incidents, SLAs, stability, uptime
• Drive RCA and eliminate recurring issues (sync, bots, latency)
• Improve observability, monitoring, and reliability

2. Technical Leadership (Hands-on)

• Build and optimize CI/CD, MLOps, and GenAI pipelines
• Deploy and tune ML/GenAI models (RAG, prompt optimization)
• Manage data pipelines (SharePoint/API ingestion, sync)
• Ensure scalable infra (Docker, Kubernetes, cloud)

3. Automation & Bot Ecosystem

• Own/Govern RPA platforms (WorkFusion/UiPath)
• Fix bot failures, duplicates, scheduling issues
• Improve resilience and scalability

4. AI Quality & Governance

• Improve retrieval accuracy, reduce hallucinations
• Optimize latency, cost, and response quality
• Define and drive basic governance and validation checks.

5. Stakeholder Management

• Interface with business, analytics, and engineering teams
• Translate requirements → technical solutions
• Provide status, risks, and KPI reporting

6. Team Leadership (IC+)

• Mentor junior engineers and support teams
• Drive best practices across DevOps/MLOps/AI
• Lead execution for small pods/projects

What you need to bring:

Core Tech

• DevOps/MLOps: Jenkins, GitLab, Azure DevOps
• Cloud + Containers: Azure, Docker, Kubernetes
• Programming: Python, Java, Selenium
• RPA: WorkFusion / UiPath / Automation Anywhere

AI/ML

• GenAI (RAG, prompt engineering, evaluation)
• ML deployment & monitoring

Systems

• Production support at scale, incident mgmt, change mgmt and ITIL governance
• Data pipelines & enterprise integrations (SAP, ServiceNow, SharePoint, etc)

Monitoring

• Prometheus, Grafana, ELK, Spark, Airflow

Success Metrics

• Reduced incident volume & MTTR
• Improved AI accuracy & trust
• Stable bot/automation ecosystem
• Faster delivery of enhancements
  • Effective stakeholder mgmt without escalations