Chetan K
Bangalore
Summary
Senior AI Architect and Platform Leader with 17+ years of experience building and modernizing enterprise-scale systems, currently leading GenAI-driven platform initiatives at IBM. Strong record of translating business problems into AI architectures, driving roadmap evolution, and delivering POCs across cloud-native, event-driven, and GPU-accelerated systems
Overview
15
15
years of professional experience
1
1
Certification
Work History
Senior Engineering Manager / AI Solution Architect
IBM
Bangalore
07.2025 - Current
- Drove architecture and evolution of a GenAI-powered Debug Assistant platform, enabling ingestion and intelligent analysis of compressed log bundles up to 200 MB, supporting scalable enterprise diagnostics.
- Designed and implemented a two-stage ingestion and processing architecture, combining event-driven microservices, Kafka workflows, GPU-accelerated embedding pipelines, and ElasticSearch-based storage to support high-volume log intelligence.
- Introduced selective embedding and micro-batching strategies as architectural improvements, reducing end-to-end log analysis latency to 20–30 minutes while optimizing GPU utilization and cost.
- Architected an MCP-orchestrated retrieval and reasoning layer, enabling agent-based query handling and achieving ~89% answer accuracy across seven functional domains.
- Led POC-driven platform delivery in two phases: an MVP for early validation followed by a performance-optimized release adopted by 25–40 pilot users, incorporating learnings from real-world usage.
- Acted as primary architectural owner for key scalability decisions, addressing GPU memory constraints, Kafka partitioning and throughput, and ElasticSearch indexing and shard strategy.
- Continuously proposed and evaluated architectural enhancements, balancing system performance, cost, and extensibility while aligning platform evolution with long-term roadmap goals.
Senior Engineering Manager
Ping Identity
Bangalore
08.2024 - 04.2025
- Led modernization of identity and access management platforms, designing scalable, API-first and event-driven architectures to support high-throughput authentication, authorization, and analytics workloads.
- Architected AI-integrated platform workflows, enabling a Spring Boot–based conversational interface to securely interact with backend AI services (Helix), laying the groundwork for intelligent identity insights and automation.
- Designed extensible platform interfaces for AI-driven identity analytics, collaborating closely with product, security, and platform stakeholders to ensure scalability, auditability, and compliance.
- Improved system observability and operational intelligence by introducing event-driven patterns and metrics-driven monitoring across identity services.
- Mentored and guided engineering teams on cloud-native architecture, CI/CD automation, and performance engineering, strengthening platform reliability and accelerating delivery velocity.
Senior Engineering Manager
Allstate Solutions
Bangalore
09.2023 - 08.2024
- Owned end-to-end delivery of insurance-domain microservices, leading full SDLC from requirements and design through production deployment on AWS-based cloud platforms.
- Designed and built event-driven, cloud-native systems using Java, Spring Boot, Kafka, and AWS services to support high-throughput, resilient business workflows.
- Led implementation of conversational and automation-driven capabilities, improving operational efficiency and user experience across customer-facing and internal platforms.
- Provided technical leadership to a team of 15+ engineers, ensuring architectural consistency, code quality, and adherence to cloud-native and DevOps best practices.
- Partnered with business and product stakeholders to prioritize features, manage trade-offs, and deliver iterative improvements aligned with business outcomes.
Java Architect / Engineering Manager
Accenture
Bangalore
01.2011 - 09.2023
- Architected and delivered enterprise-grade platforms for banking and insurance clients, owning architecture and delivery across multi-year programs valued at $2M+.
- Led large-scale modernization initiatives, migrating 20+ applications from monolithic, on-premise systems to cloud-native, microservices-based architectures, significantly improving scalability, resilience, and deployment agility.
- Designed and governed core platform architectures, including scalable APIs, data pipelines, and event-driven systems to support high-throughput transactional and analytical workloads.
- Provided architectural leadership across distributed teams of up to 50 engineers, balancing hands-on design decisions with delivery oversight, risk management, and cross-stakeholder communication.
- Partnered closely with client leadership and business stakeholders to translate complex domain requirements into extensible technical architectures aligned with long-term transformation roadmaps.
Education
Bachelor of Engineering -
Skills
- Agentic AI architectures and tool orchestration
- Retrieval-Augmented Generation (RAG) design
- MCP-based orchestration and agent workflows
- Vector search and semantic retrieval systems
- GPU-based embedding generation and optimization
- ElasticSearch text and vector indexing
- Embedding lifecycle management (ingestion, storage, retrieval)
- Semantic search and relevance optimization
- Large-scale log and document intelligence systems
- Event-driven microservices architecture
- Kafka-based ingestion and streaming pipelines
- Asynchronous workflows and message-driven systems
- High-throughput, low-latency system design
- Cloud-native system architecture and design
- Kubernetes orchestration (EKS, ROKS, OpenShift, Cirrus)
- Microservices deployment and scaling strategies
- Large-scale system scalability and performance engineering
- Technical decision-making and architecture ownership
- Cost–performance trade-off analysis (compute, GPU, storage)
- Platform evolution and roadmap-driven architecture
- Platform observability, resilience, and performance tuning
- Java (Spring Boot, enterprise backend systems)
- Python (AI pipelines, orchestration, tooling)
- API-first and contract-driven development
- IBM Cloud
- AWS
- Cross-team technical leadership and collaboration
- Stakeholder alignment and technical influence
- Engineering best practices and architectural governance
- Mentoring senior and junior engineers
Certification
AWS Solution Architect
Personal Information
Title: Senior Engineering Leader / AI Solution Architect
Core Skills
Agentic AI (MCP, tool orchestration), Retrieval Augmented Generation (RAG), GPU-based embedding generation, Vector search & semantic retrieval, Event-driven microservices, Kafka-based ingestion pipelines, ElasticSearch (text + vector indexing), Kubernetes (ROKS, OCP, Cirrus), Cloud-native architecture (IBM Cloud, AWS), Architecture ownership & technical decision-making, Engineering best practices & governance, Cross-team stakeholder leadership, Mentoring and team scaling
Timeline
Senior Engineering Manager / AI Solution Architect
IBM
07.2025 - Current
Senior Engineering Manager
Ping Identity
08.2024 - 04.2025
Senior Engineering Manager
Allstate Solutions
09.2023 - 08.2024
Java Architect / Engineering Manager
Accenture
01.2011 - 09.2023