AI Platform Engineer

HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services.

Overview:

Design, build, and evolve a robust, high-performance AI execution platform capable of deploying and managing large numbers of AI agents at scale, with strong emphasis on scalability, reliability, observability, and cost efficiency.

Responsibilities:

• Design and evolve large-scale AI execution platforms.
• Implement distributed scheduling and resource management.
• Optimize scalability and performance of distributed systems.
• Automate deployment and scaling using DevOps practices.
• Promote security, observability, and code quality best practices.

Mandatory Skills:

• .NET
• Python
• Docker
• Kubernetes
• Apache Kafka
• Microsoft Azure
• Distributed systems architecture
• CI/CD automation

Specific Requirements:

• Experience with large-scale AI or data platforms
• Expertise in distributed computing and autoscaling
• Strong observability and reliability engineering skills

Appreciated Skills:

• Microservices architectures
• Cloud cost optimization
• SRE collaboration
• High-availability system design

Expected Deliverables:

• AI platform architecture design
• Scalable execution environments
• Automated infrastructure pipelines
• Agent lifecycle management services
• Comprehensive observability dashboards