DevOps Strategy and Platform Evolution
- Define and implement a modern DevOps and platform engineering strategy aligned with data and AI platform goals.
- Develop roadmaps that incorporate AI-assisted development, testing, and operations.
- Drive the evolution from traditional DevOps to intelligent, self-service platform capabilities.
- Continuously evaluate emerging technologies (e.g., GenAI, LLMOps, AIOps) and incorporate them where relevant.

AI-Enabled CI/CD and Automation
- Design and optimize CI/CD pipelines using AI-assisted tools (e.g., code generation, test generation, pipeline optimization).
- Integrate AI copilots and automation agents into development and deployment workflows.
- Implement intelligent quality gates (e.g., automated code reviews, anomaly detection in pipelines).
- Enable self-healing pipelines and automated failure diagnostics where possible.

Automation and Framework Enhancement
- Build scalable automation frameworks leveraging AI, scripting, and infrastructure as code.
- OFFICIAL
- Automate repetitive tasks using AI agents, prompt-based workflows,



or orchestration frameworks.
- Enhance DevOps pipelines to support data products and AI/ML workloads (MLOps/LLMOps).
- Standardize reusable templates and pipeline components for platform-wide adoption.

Data & AI Platform Integration
- Analyze and optimize integrations across the Anglo American Data Platform, including:
- Databricks (data processing, workflows, DABs)
- Airflow (orchestration)
- Azure services (compute, storage, identity)
- Power BI / downstream consumption layers
- Support deployment patterns for AI/ML models, feature pipelines, and inference services.
- Enable end-to-end lifecycle management for AI applications (training → deployment → monitoring).

Governance, Security, and Reliability
- Implement governance practices across pipelines, including policy-as-code and automated compliance checks.
- Manage access control and ensure secure DevOps practices across environments.
- In

📌 Lead Consultant(Development) (Coquimbo)
🏢 HCL Technologies
📍 Coquimbo