Headline

Enterprise AI Architect | Building Scalable GenAI, Agentic AI & RAG Platforms | Google Cloud Professional Cloud Architect

About

I am an Enterprise AI Architect and Google Cloud Certified Professional Cloud Architect with 12 years of experience designing and delivering enterprise platforms across Generative AI, Agentic AI, cloud engineering, analytics, automation, and software engineering. I turn ambiguous business requirements into practical, secure, scalable, and measurable AI architectures. My experience includes taking an enterprise Retrieval-Augmented Generation platform from architecture to production and designing multi-agent solutions using LangGraph, Model Context Protocol, grounded retrieval, validator agents, confidence scoring, citation enforcement, responsible AI controls, and end-to-end observability. At Deloitte, I serve as a Manager and Technical Architect for a client-facing Agentic AI solution that creates personalized learning missions based on user skills, proficiency levels, and development goals. I lead architecture, technical roadmaps, design decisions, engineering reviews, optimization, and client discussions while remaining hands-on with Python, FastAPI, Pydantic, MCP tools, PostgreSQL, React, OpenTelemetry, and SAP BTP Cloud Foundry. Previously at Bosch Global Software Technologies, I originated and productionized a GCP-hosted enterprise RAG platform incorporating PostgreSQL and pgvector, reranking, citation enforcement, metadata-based access controls, AI guardrails, evaluation, and observability. I also designed a LangGraph-based Agentic AI pilot for automating initial L0 and L1 support workflows. My broader experience spans enterprise AI architecture, cloud-native platforms, engineering analytics, workflow automation, client consulting, architecture governance, and technical leadership. I have provided architectural leadership to matrix teams of up to 20 engineers and worked with stakeholders across India, Germany, China, and global environments. I am interested in Enterprise AI Architect opportunities where I can combine product and platform ownership, enterprise architecture, client advisory, and hands-on technical leadership to build responsible AI capabilities that deliver measurable business value.

Location

Coimbatore

AI stack

aistudio

antigravity

claude code

codex

cursor

gemini

Work experience

Manager at Deloitte, Jun 2026 - Present · 3 mos, Coimbatore, Tamil Nadu, India, 1. Lead the architecture and client delivery of an Agentic AI platform that creates personalized learning missions based on users’ skills, proficiency levels, and development goals. 2. Defined the solution blueprint and technical roadmap and secured client approval for a redesigned multi-agent architecture. 3. Introduced validator agents, contextual confidence scoring, citation enforcement, retry handling, and structured response contracts to strengthen the reliability of grounded AI outputs. 4. Designed an MCP-enabled researcher agent that retrieves and grounds information from more than 10 anonymized enterprise sources. 5. Guide a team of three developers while remaining hands-on with Python, FastAPI, Pydantic, agent workflows, MCP tools, PostgreSQL, React, Node.js, LangSmith, OpenTelemetry, and CI/CD. 6. Design the platform for approximately 100 beta users and planned scale of approximately 50,000 users, primarily across Europe with potential global adoption. 7. Provide hands-on SAP BTP Cloud Foundry architecture across identity and access management, XSUAA, PostgreSQL integration, secrets management, scaling, observability, and capacity planning. 8. Serve as the primary architecture presenter to client stakeholders and Associate Directors, communicating roadmaps, defending design decisions, recommending technology investments, and aligning delivery scope.

Tech Lead at Bosch Global Software Technologies, Jul 2025 - Jun 2026 · 1 yr, Hybrid, 1. Originated, architected, and productionized a GCP-hosted enterprise RAG platform serving approximately 25 to 60 users across five enterprise knowledge sources. 2. Held end-to-end solution authority for the cloud and application architecture while guiding a five-member engineering team. 3. Designed secure retrieval using PostgreSQL, pgvector, embeddings, metadata-based access controls, grounding, and cross-encoder reranking. 4. Implemented the platform using Python, FastAPI, React, Cloud Run, Cloud SQL, Docker, Cloud Build, IAP, and Google Cloud Logging. 5. Established controls for prompt injection, personally identifiable information, confidential content, role-restricted information, and citation enforcement. 6. Implemented golden-dataset testing and OpenTelemetry-based monitoring of retrieval quality, latency, and cost. 7. Supported production releases and operational incidents following the restricted production launch in March 2026. 8. Feedback from 15 users indicated approximately 90% less time spent locating information compared with manual searches across multiple sources. 9. Designed a LangGraph-based Agentic AI pilot for automating initial L0 and L1 support workflows. 10. Integrated enterprise-hosted GPT models with tools and MCP integrations to retrieve context, generate ticket comments, and modify ticket attributes for a 15-user internal pilot. 11. Established reusable AI architecture practices across multiple projects, covering responsible AI, design reviews, model selection, observability, cost governance, and shared components.

Technical Consultant (SystemBerater) at Bosch, Nov 2022 - Apr 2023 · 6 mos, Stuttgart, Baden-Württemberg, Germany, 1. Coordinated a successful proof of concept for an Azure-based engineering analytics platform as an alternative to an existing Splunk solution. 2. Developed Python-based data extractors and Power BI dashboards for engineering reporting and decision support. 3. Collaborated with an Azure Databricks team on a medallion data-processing architecture. 4. Worked directly with business and engineering stakeholders to assess requirements, feasibility, architecture options, and adoption considerations. 5. Demonstrated technical feasibility successfully. The initiative did not proceed beyond the proof-of-concept stage because of budget constraints.

Lead Engineer at Bosch Global Software Technologies, Jan 2022 - Jun 2025 · 3 yrs 6 mos, Hybrid, 1. Architected and delivered more than 50 Splunk and Power BI analytics and monitoring solutions across more than 10 customer programs in China, Germany, and India. 2. Designed reusable integration patterns to extract, process, and visualize data from IBM Engineering Lifecycle Management and other engineering platforms. 3. Delivered dashboards and alerts covering Agile delivery, sprint burndown, Automotive SPICE indicators, testing coverage, requirements coverage, delivery performance, and operational health. 4. Reduced Splunk deployment effort by approximately 75% through automated releases, reusable templates, and configuration-driven project onboarding. 5. Reduced manual effort by approximately 40% across onboarding, access management, build management, reporting, and operational workflows. 6. Provided architectural leadership and mentoring to matrix teams of up to 20 engineers while contributing to hiring and performance-review activities. 7. Presented architecture roadmaps, solution options, investment recommendations, and delivery trade-offs to customers and senior engineering managers. 8. Defined current-state and target-state architectures, integration gaps, implementation roadmaps, and non-functional requirements covering security, scalability, latency, cost, availability, and maintainability. 9. Designed a BERTweet-based sentiment-analysis proof of concept for support tickets using Java data extraction and Splunk dashboards. Further adoption was deferred because of GDPR and budget considerations.

Software Developer (Softwareentwickler) at Bosch, Jan 2019 - Jun 2019 · 6 mos, Stuttgart, Baden-Württemberg, Germany, 1. Provided onsite consulting and development support for IBM Engineering Lifecycle Management applications. 2. Developed a web-based application to analyze build performance and improve engineering-toolchain visibility. 3. Worked with engineering teams to identify tooling challenges and recommend productivity improvements. 4. Supported engineering-toolchain modernization across distributed teams.

Senior Software Engineer at Bosch Global Software Technologies, Mar 2017 - Dec 2021 · 4 yrs 10 mos, On-site, 1. Progressed from hands-on software development to architecture responsibility for Java- and Python-based applications orchestrated through Jenkins. 2. Automated user onboarding, access and role management, build management, engineering reporting, and operational workflows. 3. Delivered approximately 20 dashboards across four product lines for a China-based automotive engineering organization. 4. Integrated engineering information from IBM ALM, HP Quality Center, Jira, and IBM DOORS Classic. 5. Developed an internal Scrum planning-poker tool that improved estimation sessions and received positive feedback from engineering teams and customer stakeholders. 6. Created an RTC build-analysis tool that improved visibility into pipeline execution and supported build restart and termination actions. 7. Advanced code quality and maintainability through engineering standards, reusable components, reviews, and SonarQube.

Programmer Analyst at Cognizant, Jul 2015 - Feb 2017 · 1 yr 8 mos, 1. Individually developed more than 30 Java-based automation and financial-data extraction applications supporting Intuit products. 2. Migrated more than 50 legacy macro-based solutions into modular and maintainable Java architectures. 3. Personally supported financial-data integrations across more than 100 financial institutions. 4. Built Splunk KPI dashboards, monitoring views, and operational alerts to improve production visibility. 5. Participated in code reviews, developed reusable components, and provided on-call production support. 6. Received the internal Spark Award for delivery excellence and technical contribution.

Programmer Analyst Trainee at Cognizant, Jul 2014 - Jun 2015 · 1 yr, 1. Achieved top performance in the Advanced Java training program. 2. Supported enterprise applications through enhancements, defect resolution, maintenance, troubleshooting, and production support. 3. Built foundational expertise in Java engineering, automation, data extraction, and enterprise software delivery.

Education

Bachelor of Technology - BTech, Computer Science and Engineering, Amrita Vishwa Vidyapeetham, Coimbatore