Observability and AI Enterprise Architect

TCS Cloud Unit is looking for an experienced Observability and AI Enterprise Architect to design and implement enterprise-grade observability and AI solutions that provide deep visibility into infrastructure applications networks and transform IT Operations. This role requires expertise in leading observability platforms and hands-on experience in IT operations combined with the ability to integrate AI-driven solutions for IT Operations (AIOps) using cutting-edge technologies such as LLMs agentic frameworks and industry-leading platforms like Anthropic OpenAI Bedrock Gemini and others.

• Design and deploy observability frameworks leveraging tools such as Grafana Dynatrace Prometheus ELK Splunk etc. Define best practices for monitoring alerting and visualization across hybrid and multi-cloud environments.
• Develop strategies for monitoring KPIs tied to business outcomes (e.g. sales performance supply chain efficiency customer experience).
• Collaborate with business and IT teams to identify key metrics and integrate them into dashboards and alerting systems.
• Implement AIOps solutions using industry-leading platforms like OpenAI AWS Bedrock Google Gemini Anthropic and similar technologies.
• Develop predictive analytics and anomaly detection models to proactively identify and resolve operational issues.
• Integrate observability tools with ITSM platforms and automation workflows. Enable automated root cause analysis and remediation using AI/ML models.
• Provide observability strategies for infrastructure (servers storage cloud) applications (microservices APIs) and networks (LAN/WAN SD-WAN). Collaborate with DevOps SRE and IT operations teams to ensure end-to-end visibility and reliability.
• Establish observability standards KPIs and SLAs for performance and availability. Ensure compliance with security and regulatory requirements in monitoring solutions.
• Develop scalable architecture using LLMs agentic frameworks and multi-modal AI technologies.
• Build AI-powered analytics platforms for IT operations analysis anomaly detection and predictive insights.
• Architect and deploy intelligent chatbots for IT support and self-service capabilities.
• Integrate AI solutions with existing IT operations tools and workflows.
• Implement automated remediation and root cause analysis using AI/ML models.

Qualifications:

• 10-13 years of relevant experience
• Hands-on experience with Grafana Dynatrace and other monitoring platforms.
• Practical experience implementing AI-based solutions for anomaly detection predictive maintenance and automated remediation. Familiarity with OpenAI Bedrock Gemini Anthropic or similar AI platforms.
• Strong understanding of infrastructure application architectures and networking. Experience with cloud platforms (AWS Azure GCP) and container orchestration (Kubernetes).
• Proficiency in Python Bash or similar scripting languages for automation and integration.
• Strong experience with LLMs (OpenAI Anthropic Gemini Bedrock) and agentic AI solutions.
• Hands-on experience in designing AI architectures for enterprise IT environments.
• Proficiency in Python or similar languages for AI model integration and automation.