Summary
✨ AI‑Generated
A senior platform automation engineer with extensive experience is sought to design, build, and scale an enterprise Generative AI platform. You will automate model training, evaluation, deployment, and monitoring; engineer secure cloud infrastructure for LLM workloads; manage Infrastructure as Code and CI/CD pipelines; and ensure robust handling of sensitive data and regulatory requirements.
Highlights
Design and scale enterprise GenAI infrastructure, automate the full machine-learning lifecycle, work with large language models and cloud platforms, and address challenging security and regulatory requirements in financial services.
Description
Job Title
Senior GenAI Platform Automation Engineer (10+ Years Experience)
Industry
Banking / Financial Services
Job Purpose
We are seeking a Senior GenAI Platform Automation Engineer with over 10 years of experience to design, build, and scale our enterprise Generative AI platform.
In this role, you will bridge the gap between AI engineering and robust banking infrastructure.
You will automate the deployment, scaling, and management of secure GenAI models and data pipelines, ensuring compliance with strict financial regulations.
Key Responsibilities
Platform Architecture: Design and maintain scalable cloud infrastructure specifically optimized for GenAI workloads and large language models (LLMs).End-to-End Automation: Build automated frameworks to streamline model training, evaluation, deployment, and monitoring.Infrastructure as Code: Author and manage enterprise-grade infrastructure blueprints to eliminate manual provisioning and configuration drift.CI/CD Pipeline Engineering: Build secure, automated release pipelines that integrate vulnerability scanning, compliance checks, and automated testing.Data Stream Automation: Build and manage high-throughput event streaming infrastructure to support real-time GenAI data feeds and retrieval-augmented generation (RAG) systems.Security & Compliance: Implement rigorous access controls, data encryption, and audit logging to meet global banking security standards.
Mandatory Skill Sets
🏢 Cloud & Container Orchestration
Cloud Platforms: Hands-on expertise with major cloud providers (AWS, Azure, or GCP) managing enterprise-scale architecture.Kubernetes: Advanced container orchestration, including managing GPU-accelerated clusters, microservices networking, and autoscaling.
🤖 Generative AI & Automation
GenAI Infrastructure: Practical experience deployment frameworks for LLMs, vector databases, and RAG pipelines.Python: Master-level programming for system automation, infrastructure scripting, and data manipulation.Automation Frameworks: Experience building or implementing robust automation testing and orchestration frameworks.
⚙️ DevOps & Infrastructure as Code (IaC)
Terraform: Expert-level IaC development for multi-environment, repeatable, and modular cloud architecture.DevOps Practices: Deep understanding of modern DevOps methodologies, site reliability engineering (SRE) principles, and immutable infrastructure.Kafka: Architecture and management of event-driven streaming pipelines for high-volume banking data.
🛠️ Tooling & Collaboration
CI/CD Platforms: Advanced management of Bamboo for automated build, test, and release orchestration.Version Control: Enterprise repository management, branching strategies, and pull request workflows using Bitbucket.Agile Management: Advanced tracking, workflow customization, and release planning using Jira.
Qualifications
Experience: Minimum 10+ years of professional experience in DevOps, Cloud Architecture, and Automation Engineering.Banking Domain: Prior experience working within financial institutions, understanding strict compliance, risk frameworks, and data governance is highly preferred.Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field.
