Sailendu Kumar

Senior Solution Architect, Agentic AI @IBM Client Engineering | IIT Kharagpur| Drive sales by proving technical feasibility, designing architectures, and building tailored prototypes for enterprise customers.

Role
Senior Solutions Architect at IBM
Location
Bengaluru, KA, IN
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Sailendu Kumar

I architect the bridge between enterprise ambition and agentic AI reality.As a Senior Solution Architect for Agentic AI & Automation at IBM Technology Sales, I lead pre-sales engagements where the stakes are high and the complexity is real — working directly with C-suite executives and engineering leaders of key strategic and government accounts to turn strategic AI ambitions into deployable, governed, and measurable enterprise systems.With 14 years of experience driving AI/ML-led business transformation, I bring a rare combination of technical depth and commercial fluency - equally comfortable whiteboarding a multi-agent orchestration architecture and closing a complex enterprise deal.What I do: Technical Discovery & Architecture - Lead workshops with executive and engineering stakeholders to surface high-impact pain points and design end-to-end agentic workflows, HITL systems, and tool integrations from the ground up. PoCs & Rapid Prototyping - Build hands-on prototypes and live demos inside customer environments - configuring agent registries, A2A communication, and LLM orchestration (LangGraph, CrewAI) to prove value fast and de-risk adoption. Enterprise Governance & Responsible AI - Design guardrails covering RBAC, data privacy, compliance, and agentic evaluation frameworks - including drift detection, observability metrics, and full audit trails. Deal Execution & Value Engineering - Own the technical narrative across RFPs, proposals, and SOWs. Quantify ROI and cost-to-serve to build business cases that land with both technical buyers and the key decision-makers. Productization & Seamless Handoff - Convert winning engagements into reusable reference architectures, accelerators and code baselines, ensuring zero loss in technical fidelity from pre-sales to delivery.I believe the most powerful AI systems aren\'t just technically sound - they\'re trusted. That means building with governance, transparency, and human oversight baked in from day one.

Experience

  1. Senior Solutions Architect

    IBM

    Dec 2023 — Present · Bengaluru, IN

    Lead technical discovery workshops with C-suite and engineering stakeholders, translating complex business challenges into actionable agentic AI and automation roadmaps aligned to enterprise outcomes - Serve as primary SME in presales engagements across IBM watsonx portfolio (watsonx.data, watsonx.ai, watsonx.governance, watsonx Orchestrate, IBM Concert) and Confluent, spanning lakehouse architecture, agentic AI, AgentOps, data streaming, and NoSQL - Architect end-to-end multi-agent systems leveraging LangGraph and CrewAI, incorporating LLM orchestration, Human-in-the-Loop (HITL) workflows, and Agent-to-Agent (A2A) communication patterns at enterprise scale - Build rapid prototypes and interactive demos within live customer environments, de-risking agentic AI adoption and accelerating deal progression through tangible proof of value - Advise senior stakeholders on AI infrastructure stack selection and make-vs-buy decisions across vector databases, cloud AI platforms, and orchestration frameworks - Design enterprise governance frameworks encompassing RBAC, data privacy, regulatory compliance, model drift detection, and full-stack observability for regulated industries - Own end-to-end technical narrative across RFPs, proposals, and SOWs; develop ROI models that enable confident, senior-level investment decisions - Systematize customer engagements into reusable reference architectures and accelerators, ensuring high-fidelity handoff from presales to delivery

Education

  • Biju Patnaik University of Technology

    B.TECH, ELECTRICAL AND ELECTRONICS

    2006 — 2010

  • IIT Kharagpur - Vinod Gupta School of Management

    Master of Business Administration - MBA

Skills

  • Business Analysis
  • Predictive Modeling
  • Credit Risk
  • Financial Analysis
  • Fraud Analysis
  • Data Analysis
  • Test Planning
  • Requirements Analysis
  • Marketing Research
  • Software Development Life Cycle (Sdlc)
  • Regression Models
  • Banking
  • Risk Management
  • Team Management
  • Financial Modeling
  • Management Consulting
  • Testing
  • Requirements Gathering
  • Machine Learning
  • Project Management
  • Business Analytics
  • Analysis
  • Analytics
  • Business Strategy
  • Consulting
  • Sdlc
  • Corporate Finance
  • Software Project Management
  • Financial Services
  • Team Leadership
  • Erp

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Sailendu Kumar — Senior Solutions Architect at IBM in Bengaluru, KA, IN | Unifers