Dinesh Kumar

Product Manager

Gurugram, Haryana, India16 yrs 10 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • 16+ years of experience in AI strategy and governance.
  • Expert in Generative AI and Agentic AI solutions.
  • Proven track record in enterprise AI adoption.
Stackforce AI infers this person is a SaaS and AI architecture expert with a focus on enterprise solutions.

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Skills

Core Skills

Artificial Intelligence (ai)Solution Architecture

Other Skills

Google Cloud Platform (GCP)Infrastructure TechnologiesMulti-agent SystemsLarge Language Models (LLM)MLOpsTerraformcloud native architectureAI AgentsGenerative AIIntegration ArchitectureAIOpsn8nPython (Programming Language)VERTEX AIAWS BEDROCK

About

APPLIED GENERATIVE AI & AGENTIC AI CONSULTANT | AI ADOPTION | AI STRATEGY, ROI & GOVERNANCE | SOLUTION ARCHITECTURE I am an Applied Generative AI & Agentic AI Consultant with Solution Architecture expertise and 16+ years of experience helping enterprises make the right AI decisions — not just build AI systems. My work sits at the intersection of business strategy, AI decision-making, architecture, and governance. I support leadership teams in answering critical questions such as: 1. Where does AI genuinely create measurable business value? 2. Which initiatives should be built, simplified, or intentionally stopped? 3. How can ROI be protected while controlling cost, complexity, and risk? 4. How can AI move responsibly from proof-of-concept to production? 5. How can governance, accountability, and human oversight be maintained at scale? Over the last several years, I have partnered with CXOs, business leaders, product owners, and engineering teams to guide AI adoption, value engineering, governance, and production readiness across Generative AI and Agentic AI initiatives. My approach is outcome-driven and decision-centric. I focus on ensuring AI investments deliver measurable business impact, operational reliability, and long-term sustainability — not just pilots, demos, or technical experimentation. AREAS OF FOCUS • AI strategy and adoption roadmaps • ROI and value engineering for Generative AI • AI readiness, governance, and risk management • Decision-centric Agentic AI architectures • PoC-to-production execution frameworks and controls I specialize in enterprise-grade Generative AI and Agentic AI systems, including LLMs, RAG pipelines, vector databases, and agent-assisted workflows, designed at reference and solution-architecture levels. My role is advisory and architecture-led, with accountability for guardrails, governance frameworks, and adoption strategies, while enabling delivery teams to execute effectively at scale. I work closely with stakeholders to translate business problems into scalable, governed AI solutions, with strong emphasis on ROI articulation, cost control, security, compliance, and production readiness. I am not tool-driven — I am outcome-driven. My goal is to help organizations move beyond pilots and demos to production-ready AI systems that support real business decisions. Open to AI consulting, advisory, fractional AI leadership, and enterprise AI strategy engagements, including short-term assessments, phased adoption support, and ongoing advisory collaboration across global teams.

Experience

16 yrs 10 mos
Total Experience
2 yrs 9 mos
Average Tenure
4 yrs 6 mos
Current Experience

Hcl technologies

Solutions Architect

Nov 2021Present · 4 yrs 6 mos · Bengaluru, Karnataka, India · Hybrid

  • ➢ Led enterprise AI adoption initiatives, partnering with CXOs and business leaders to identify high-value AI
  • use-cases and eliminate low-ROI initiatives early.
  • ➢ Owned AI value engineering, defining ROI models, cost assumptions, unit economics, and success metrics to
  • support informed investment decisions.
  • ➢ Defined AI adoption strategies and multi-phase roadmaps aligned with business priorities, technical feasibility,
  • and governance requirements.
  • ➢ Provided solution architecture leadership for Generative AI and Agentic AI platforms, guiding teams on
  • reference architectures, GPU-accelerated workloads, guardrails, and operating models.
  • ➢ Advised on cloud-native AI architectures across AWS, Azure, and GCP, evaluating compute infrastructure,
  • integration patterns, scalability, performance, and cost trade-offs.
  • ➢ Guided design of decision-centric Agentic AI systems using planning–execution loops, RAG, tool calling, MCP,
  • A2A patterns, memory, and HITL controls.
  • ➢ Established PoC-to-production decision frameworks, defining validation criteria, readiness checkpoints, and
  • operational controls.
  • ➢ Conducted AI readiness and risk assessments covering data maturity, security, compliance, observability, cost
  • efficiency, and long-term maintainability.
  • ➢ Defined enterprise AI governance frameworks, including responsible AI, security-by-design, data privacy,
  • guardrails, auditability, and compliance.
  • ➢ Guided teams on LLMOps and observability, including prompt lifecycle management, evaluation, cost and
  • latency optimization, and quality monitoring.
  • ➢ Acted as a trusted advisor to executives, sales, and engineering lead
Google Cloud Platform (GCP)Infrastructure TechnologiesArtificial Intelligence (AI)Multi-agent SystemsLarge Language Models (LLM)MLOps+42

Genpact

Solutions Architect

Nov 2019Nov 2021 · 2 yrs · Gurugram, Haryana, India · On-site

  •  As a Cloud and Data Centre Infrastructure Solution Architect my primary responsibility is end-to-end solution planning and designing as per customer requirement.
  •  Mentorship, knowledge transfer to cross functional team and customer while building cloud and virtualized infrastructure solutions for different services and applications.
  •  Build, design, deploy, maintain and lead the implementation of Cloud solutions on AWS and GCP infrastructure
  •  Designing and planning of cloud architecture for private, public and hybrid cloud models
  •  Setup AWS and GCP production and non-prod environments
  • Architected hybrid and multi-cloud platforms supporting analytics, automation, and AI workloads.
  • Advised clients on hybrid and multi-cloud strategies supporting analytics, automation, and AI workloads.
  • Partnered with business and technology leaders to evaluate AI readiness, platform choices, and architectural trade-offs.
  • Led technical and strategic workshops to clarify AI use cases, success criteria, and operational impact.
  • Supported pre-sales and solution strategy efforts, helping clients validate AI and cloud architectures before investment.
  • Provided guidance on security, resilience, and governance for AI-enabled platforms.

Tata communications

Presales Solutions Architect

Dec 2016Nov 2019 · 2 yrs 11 mos · Greater Delhi Area

  •  Responsible for designing an end-to-end infrastructure solution to support applications, integration with relevant systems and software’s in line with customer requirements
  •  Deliver technical presentations, demonstrations, workshops, architecture design sessions, proof of concepts (POC), and demonstrate capabilities of our various products portfolio like MHS, cloud, network, security and TCL services
  •  Designing, building, maintaining cloud-native web applications and environments on AWS, which includes working with services like EC2, Auto Scaling, IAM, DNS Route-53, VPC, ELB and S3
  •  Solution designing and planning of cloud architecture for private, public and hybrid cloud models
  •  Designing and planning DC and DR sites with High Availability, Security, Backup and retention architectures
  •  Responsible to prepare and optimization of BoQ and BoM
  •  Install, Configure, and Support solutions at the pre-sales PoC deployments
  •  Developing scope of work (SoW) as per end customer needs and RFP requirement
  •  Manage and maintain all server, virtualization and cloud architecture and standards documentation
  •  Expertise in overseeing application architecture and deployment in cloud environments including public / private and traditional IT (hybrid / enterprise cloud)
  •  Define and document best practices and strategies regarding application deployment and infrastructure maintenance.
  •  Suggest, plan and implement various changes for architecture enhancement and capacity planning.

Sify technologies limited.

Virtualzation and Cloud Engineer

Jun 2015Dec 2016 · 1 yr 6 mos · Greater Jaipur Area

  • As a Data Centre Cloud and Virtualization Engineer my primary responsibility is planned, designed, deployment the Cloud and Virtualization infrastructure as well and maintained same. Understand clients' business and functional needs and create customized managed Cloud enabled solutions. Private Cloud infrastructure building based on Sify Cloudinfinit (from design to implementation). Create, maintain, and use Standard Operating Procedures (SOPs) for deployment.
  •  Responsible for managing, supporting, implementing Virtual Infrastructure for Cloud Services
  •  Manage admin task and support for Cloud Services IaaS and PaaS
  •  Remotely troubleshoot and manage Virtual Infrastructure
  •  Provide technical resolution to incident and problem events related to the Virtual infrastructure
  •  Respond to customer needs by email, phone calls & one to one meetings.
  •  Suggest, plan and implement various changes for incident resolution, architecture enhancement and capacity planning.
  •  Experience with the design, implementation and operational support of cloud and virtual Infrastructure environments using VMware, Microsoft, Red Hat, Cisco and NetApp Technologies.

Hcl infosystems and services ltd.

Associate Consultant

Jun 2012Jun 2015 · 3 yrs · Greater Jaipur Area

  • Responsible of all aspects of data centre virtualization, storage and network infrastructure including servers, desktops, networks, VOIP system and storage. Understanding of virtualization products and be able to troubleshoot and resolve software, hardware, configuration and operational problems across the Cisco, VMware and Microsoft platforms. Technical documentation of problems and resolution for future reference
  • Responsible for the Data Centre LAN and WAN network configuration, implementation maintenance and troubleshooting support as well as analyse network traffic and provide capacity planning, managing & maintaining backup and failover configuration of all Server and Network devices.
  • Ensure network and IP connectivity of all workstation, application servers, and back-end office infrastructure and IP address management like sever router, switch, Wi-Fi access point, and printer. Test network device after new configuration and implementation.
  • Responsible for Incident, Problem, Change Management and Service Request. As per ITIL Standard, Raise the Helpdesk Ticket against any issue & solving the issue according to the Ticket

Microsystems

System and Network Support Engineer

Jul 2009Jun 2012 · 2 yrs 11 mos · Udaipur Area, India

  • Responsible for provide planning, coordination, and implementation of project system, server, and network installations, up gradation, migration and routine maintenance also provide technical support small to medium sized corporate networks. Assists in the planning, design, documentation, and implementation of various systems to include desktop PC’s, servers, network equipment, and software applications. User Management in AD includes User addition, deletion and modifying user attributes Active directory management, NTFS security, and disk quota management.

Education

University of Rajasthan

Engineer’s Degree — Computer Engineering

Jan 2005Jan 2009

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