Ajay Singh
Architect @Salesforce
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WORK HISTORY
Architect @Salesforce
Bengaluru, IN
Designing always-on orchestration engines that handle event-driven, schedule-based, and API-triggered workflows across ITSM, GRC, and CMDB domains2. Architecting infrastructure intelligence platforms that transform static configuration management into self-healing, continuously reconciled systems driven by real-time observability signals3. Building cross-platform AI agent integration frameworks that operate across enterprise boundaries with strong audit trail integrity, token lifecycle management, and compliance by design4. Leading domain-specialized language model development using parameter-efficient fine-tuning, achieving frontier model parity at significantly reduced cost while preserving data sovereignty5. Defining multi-agent coordination patterns and human in the loop architectures for enterprise-grade AI workflows where reliability and compliance are non-negotiable6. Driving GRC automation through autonomous agent execution patterns that operationalize risk and compliance lifecycle management at scale7. Architecting catalog orchestration systems that progressively expand coverage and reduce manual intervention across complex service delivery workflows8. Building automated compliance scanning frameworks that continuously evaluate IT business processes against policy, with structured violation detection and remediation
EDUCATION
Vellore Institute of Technology
Bachelor Of Technology, Computer Science
Birla Institute of Technology and Science, Pilani
MS, Software Systems
SKILLS
ABOUT AJAY SINGH
Architect at Salesforce, focused on AI agent orchestration, ITSM, and platform architecture at scale. I build the systems that make AI operationally real inside large enterprises, from always-on background orchestration frameworks to dynamic self-healing infrastructure intelligence.My work spans both predictive and generative AI: domain-specialized language models fine-tuned for ITSM, multi-agent coordination patterns, GenAI applied to GRC workflows, and deep integrations between Salesforce, ServiceNow, and observability platforms like Splunk and Datadog. A significant part of this has been rethinking CMDB itself, transforming it from a static configuration registry into a living, continuously reconciled system that heals itself through real-time signal processing across infrastructure observability pipelines. I care about the hard problems: audit trail integrity, event-driven automation, human in the loop design, and getting AI to do useful work reliably at enterprise scale and not just in demos.An alumnus of BITS Pilani and VIT Vellore, I’ve spent years at the intersection of system level thinking and applied AI, where architectural decisions have real consequences for reliability, compliance, and organisational velocity.If you’re thinking about how AI agents fit into complex enterprise platforms or want to talk through the messy realities of production grade orchestration, let’s connect.
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