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AI Product Architect
Keerthi Damaraju[ADD PROFILE PHOTO]

01About

I work at the intersection of AI, enterprise architecture, product thinking and digital transformation.

Enterprise AI becomes valuable when models, knowledge, workflows and business systems work as one platform. That is the part I architect: LLMs, RAG pipelines, vector search and knowledge graphs, connected through secure APIs and event-driven integration to the CRM, order management, EHR and operational systems a business depends on.

My path into AI architecture ran through the enterprise itself. I started as a systems analyst at Tata Consultancy Services, moved into product management for ERP and CRM transformation, led digital transformation programs in Oman, then architected enterprise AI and integration platforms at Comcast before taking on AI product architecture at Tulasea.

That history shapes how I work. I translate business and technical requirements into architecture that can actually be built, secured and operated at enterprise scale, with governance, identity, observability and auditability designed in from the start rather than added at the end.

Most of the job is alignment. I work day to day with product, engineering, operations, UX/UI, infrastructure, cybersecurity, vendors and executive leadership, so the architecture reflects what the business needs and what the teams can deliver.

What I connect

  1. Business strategy
  2. Product requirements
  3. AI
  4. Enterprise architecture
  5. Engineering execution

Who I work with

Product · Engineering · Operations · UX/UI · Infrastructure · Cybersecurity · Vendors · Executive leadership

Education

  • Master's in Management Studies (MMS)

    Finance

    Mumbai University · India

    The business and financial lens behind architecture decisions.

  • Bachelor of Engineering (BE)

    Electronics & Telecommunication

    Mumbai University · India

    The engineering foundation for systems and distributed architecture.

Career at a glance

Years of experience
12+
Enterprise, solution and AI architecture
Users in AI transformation
1,000+
Copilot, automation and conversational AI at Comcast
Career roles
5
From systems analysis to AI product architecture
Industry domains
3
Telecom, healthcare and enterprise operations

02Experience

From systems analysis to AI product architecture.

Five roles in India, Oman, the United States and now remote. Each one added a layer: systems, product, transformation, integration, then AI.

  1. – Present/Remote

    AI Product Architect

    Tulasea Inc.

    Architecting enterprise AI and digital transformation platforms for intelligent healthcare and enterprise decision ecosystems.

    • Designed enterprise-grade AI platform architectures that integrate LLMs, RAG pipelines, vector databases, knowledge graphs, semantic search, workflow orchestration and conversational AI.
    • Designed graph-driven intelligence using JanusGraph and Qdrant for relationship-aware recommendations and contextual reasoning.
    • Led architecture definition for AI governance: authentication, authorization, explainability, observability, auditability, data privacy and regulatory compliance.
    • Python
    • FastAPI
    • Kubernetes
    • Docker
    • Kafka
    • Databricks
    • Qdrant
    • JanusGraph
    • +8 more
    View details
    • Built on scalable cloud-native and distributed architectures.
    • Developed microservices-based architectures enabling real-time contextual intelligence, recommendation systems, operational insights and AI-assisted workflows.
    • Designed secure API orchestration frameworks integrating enterprise systems, EHR platforms, operational systems, external APIs and distributed enterprise applications.
    • Collaborated with product, engineering, operations, infrastructure, cybersecurity and executive stakeholders to align architecture with business transformation objectives.
    • Established architecture standards, reusable integration patterns, technical documentation frameworks and enterprise design principles for scalable AI adoption.
    • Evaluated emerging technologies and defined enterprise architecture roadmaps for AI platform evolution and operational optimization.

    Python · FastAPI · Kubernetes · Docker · Kafka · Databricks · Qdrant · JanusGraph · AWS · Azure · OAuth2 · OIDC · REST APIs · Vector Databases · Microservices · Event-Driven Architecture

    Enterprise Generative AI Platform

  2. – /United States

    AI Solutions Architect

    Comcast

    Architected enterprise AI and digital solutions across CRM, order management, operational platforms and distributed applications.

    • Led enterprise-wide AI transformation initiatives spanning Microsoft Copilot adoption, intelligent automation, conversational AI, operational intelligence and AI-assisted productivity across 1000+ users.
    • Designed high-volume integration workflows using Kafka event streaming, Databricks, Apache Spark, APIs and cloud-native platforms.
    • Developed microservices architectures supporting real-time analytics, fraud detection, anomaly detection, recommendation engines, operational risk scoring and workflow automation.
    • Databricks
    • Apache Spark
    • Kafka
    • Kubernetes
    • Docker
    • Python
    • SQL
    • Power BI
    • +6 more
    View details
    • Integrated CRM, Order Management Systems (OMS), operational platforms, APIs and distributed enterprise applications using event-driven architectures.
    • Designed enterprise data ingestion and API integration frameworks connecting customer systems, operational systems, enterprise applications and analytics platforms.
    • Worked with product management, engineering, infrastructure, operations, cybersecurity and vendor teams to keep delivery aligned with enterprise architecture principles.
    • Contributed to architecture governance, CI/CD automation, observability, release management, deployment strategies and cloud-native scalability.
    • Developed executive dashboards and operational intelligence platforms in Power BI and Tableau for decision-making and KPI monitoring.
    • Supported Kubernetes and Docker-based deployments for scalable, resilient and reliable enterprise AI workloads.

    Databricks · Apache Spark · Kafka · Kubernetes · Docker · Python · SQL · Power BI · Tableau · REST APIs · CI/CD · Event-Driven Architecture · Distributed Systems · Microservices

    Enterprise AI Transformation Real-Time Intelligence Architecture

  3. – /Sultanate of Oman

    Digital Transformation Manager

    Al Turki Enterprises

    Led enterprise-wide digital transformation across workforce management, workflow modernization and process automation.

    • Led digital transformation initiatives involving SAP SuccessFactors, workforce management systems, workflow modernization and process automation.
    • Designed solution architectures, business workflows, integration models, technical specifications and transformation roadmaps.
    • Coordinated integration planning, UAT, production rollout and change management across multiple business units.
    • SAP SuccessFactors
    • Workflow Automation
    • Enterprise Integration
    • Dashboards & KPIs
    • UAT
    • Change Management
    View details
    • Worked closely with business stakeholders, infrastructure teams, vendors and implementation partners to deliver enterprise solutions.
    • Designed reporting ecosystems, executive dashboards and KPI frameworks for operational visibility and enterprise planning.
    • Supported architecture alignment for enterprise security, governance, compliance and scalable operational workflows.
    Enterprise Digital Transformation

  4. – /Sultanate of Oman

    Product Manager – Enterprise Solutions

    Lighthouse Consulting

    Led ERP and CRM transformation initiatives with a focus on process optimization, automation and integration.

    • Led ERP and CRM transformation initiatives involving business process optimization, workflow automation and enterprise integration strategy.
    • Worked on solution design, API integration workflows, reporting systems and customer-centric digital transformation.
    • Ran stakeholder workshops, BRDs, Agile delivery coordination, implementation tracking and rollout.
    • ERP
    • CRM
    • API Integration
    • Reporting
    • Agile
    • BRDs
    View details
    • Collaborated with engineering and functional teams to define scalable technical solutions aligned with business objectives and operational requirements.
    ERP & CRM Enterprise Transformation

  5. – /India

    Technical Systems Analyst

    Tata Consultancy Services

    Designed enterprise application solutions and integration architectures for global enterprise clients.

    • Designed enterprise application solutions, technical workflows and system integration architectures for global enterprise clients.
    • Worked on application modernization involving distributed systems and large-scale operational platforms.
    • Contributed to conversational AI innovation initiatives and AI-assisted enterprise application concepts.
    • Enterprise Applications
    • System Integration
    • Distributed Systems
    • SDLC
    • Release Management
    View details
    • Collaborated with development, QA, infrastructure and client teams across the full SDLC.
    • Supported deployment coordination, defect analysis, production support and enterprise release activities.

03Competencies & tech stack

What an AI Solutions Architect needs to know.

Eight competency areas, from AI strategy to responsible AI, and a technology ecosystem grouped the way an architecture is: intelligence, knowledge, integration, platform, trust and delivery.

Key competencies

  • 01

    AI Solution Architecture

    Turning business problems into AI platforms that can be built, run and trusted.

    • Enterprise AI platform architecture
    • AI architecture roadmaps
    • Emerging technology evaluation
    • AI strategy & use-case prioritization
    • AI business cases & ROI
    • Build vs. buy and model selection
    • Reference architectures
    • Cost, latency & token optimization
    • AI evaluation strategy
  • 02

    Generative & Agentic AI

    LLM applications that are grounded, tool-capable and safe.

    • LLM & RAG architectures
    • AI agents & agentic workflows
    • Conversational AI & copilots
    • Workflow orchestration
    • Prompt & context engineering
    • Multi-agent orchestration
    • Tool calling & MCP integration
    • Fine-tuning & model adaptation
    • Guardrails & output validation
  • 03

    Data, Knowledge & ML

    The data and models that make AI useful in context.

    • Knowledge graphs & semantic search
    • Recommendation engines
    • Predictive analytics
    • Fraud & anomaly detection
    • Real-time data ingestion
    • Embedding & retrieval design
    • MLOps & model lifecycle
    • Model monitoring & drift
    • Data quality for AI
  • 04

    Enterprise & Integration Architecture

    Connecting AI to the systems a business already runs on.

    • Solution & enterprise architecture
    • API architecture
    • Event-driven & microservices architecture
    • Enterprise integration patterns
    • CRM, OMS, ERP & EHR integration
    • Domain-driven design
    • Legacy modernization
    • API product & lifecycle management
  • 05

    Cloud & Platform Engineering

    Scalable, resilient foundations for AI workloads.

    • Cloud-native architecture (AWS, Azure)
    • Kubernetes & Docker
    • CI/CD automation
    • High availability & scalability
    • Observability
    • Infrastructure as code
    • GitOps
    • Multi-cloud & hybrid design
    • SRE practices
  • 06

    Security, Governance & Responsible AI

    Identity, privacy and accountability designed in from the start.

    • AI governance
    • Authentication & authorization (OAuth2, OIDC, RBAC, ABAC)
    • Explainability & auditability
    • Data privacy & regulatory compliance
    • Zero trust architecture
    • Prompt injection & LLM threat modeling
    • AI risk frameworks (NIST AI RMF, EU AI Act)
  • 07

    Leadership & Delivery

    Aligning people, programs and architecture decisions.

    • Executive & cross-functional stakeholder alignment
    • Architecture standards & governance
    • Digital transformation programs
    • Change management & rollout
    • Vendor & partner collaboration
    • Agile delivery
    • Architecture review boards
    • Architecture decision records
    • Team mentoring & enablement
  • 08

    Industry Domains

    Where the work has been applied.

    • Telecom
    • Healthcare
    • Enterprise operations
    • Workforce management
    • Customer experience ecosystems

Technology ecosystem

Generative & Agentic AI

19

Designing LLM applications, retrieval and agent behavior.

  • Generative AI
  • LLMs
  • RAG
  • AI Agents
  • Agentic AI
  • Conversational AI
  • AI Copilots
  • Explainable AI
  • Prompt Engineering
  • Context Engineering
  • Multi-Agent Systems
  • Tool / Function Calling
  • Model Context Protocol (MCP)
  • Embeddings
  • Hybrid Search & Reranking
  • Structured Outputs
  • Fine-tuning (LoRA / PEFT)
  • Guardrails
  • LLM Evaluation

Foundation Models & AI Platforms

10

Model providers and managed AI platforms.

  • Microsoft Copilot
  • Azure OpenAI Service
  • Amazon Bedrock
  • Google Vertex AI
  • Anthropic Claude
  • OpenAI GPT
  • Google Gemini
  • Meta Llama
  • Mistral
  • Hugging Face

AI Frameworks & Orchestration

08

Building blocks for retrieval pipelines and agent workflows.

  • LangChain
  • LangGraph
  • LlamaIndex
  • Semantic Kernel
  • AutoGen
  • CrewAI
  • DSPy
  • Haystack

Machine Learning & MLOps

15

Predictive models and the pipelines that keep them healthy.

  • Predictive Analytics
  • Recommendation Systems
  • Fraud Detection
  • Anomaly Detection
  • Risk Scoring
  • scikit-learn
  • PyTorch
  • TensorFlow
  • XGBoost
  • MLflow
  • Kubeflow
  • Amazon SageMaker
  • Azure Machine Learning
  • Feature Stores
  • Model Monitoring & Drift

LLMOps & Observability

10

Tracing, evaluating and monitoring AI systems in production.

  • Observability
  • Audit Logging
  • LangSmith
  • Langfuse
  • Arize Phoenix
  • RAGAS
  • OpenTelemetry
  • Prometheus
  • Grafana
  • Datadog

Vector, Search & Knowledge

13

Where enterprise knowledge is indexed, related and retrieved.

  • Vector Databases
  • Qdrant
  • Knowledge Graphs
  • JanusGraph
  • Semantic Search
  • Pinecone
  • Weaviate
  • Milvus
  • pgvector
  • Chroma
  • Elasticsearch
  • OpenSearch
  • Neo4j

Data Engineering & Analytics

16

Pipelines, storage and analytics at enterprise scale.

  • Databricks
  • Apache Spark
  • Airflow
  • SQL
  • Cassandra
  • DuckDB
  • MinIO
  • Power BI
  • Tableau
  • Delta Lake
  • dbt
  • Snowflake
  • Apache Flink
  • PostgreSQL
  • MongoDB
  • Redis

Architecture & Integration

15

How AI connects to the rest of the enterprise.

  • Microservices
  • Distributed Systems
  • Event-Driven Architecture
  • Kafka
  • REST APIs
  • FastAPI
  • Python
  • Enterprise Integration Patterns
  • GraphQL
  • gRPC
  • Webhooks
  • API Gateways (Kong, Apigee, Azure APIM)
  • Service Mesh (Istio)
  • CQRS & Event Sourcing
  • Domain-Driven Design

Cloud & DevOps

11

Cloud-native foundations for running AI workloads reliably.

  • AWS
  • Azure
  • Kubernetes
  • Docker
  • GitLab CI/CD
  • Google Cloud
  • Terraform
  • Helm
  • GitHub Actions
  • Argo CD
  • Serverless (Lambda, Azure Functions)

Security & Responsible AI

18

Identity, access, privacy and accountability for AI platforms.

  • OAuth2
  • OIDC
  • RBAC
  • ABAC
  • IAM
  • API Security
  • AI Governance
  • Secure Enterprise Integrations
  • Zero Trust
  • Microsoft Entra ID
  • HashiCorp Vault
  • PII Detection & Redaction
  • OWASP Top 10 for LLMs
  • NIST AI RMF
  • EU AI Act
  • ISO/IEC 42001
  • HIPAA
  • GDPR

Architecture Practice

09

Frameworks and artifacts for designing and governing systems.

  • Architecture Standards & Documentation
  • Architecture Roadmaps
  • Technical Governance
  • TOGAF
  • C4 Model
  • ArchiMate
  • Architecture Decision Records
  • AWS Well-Architected
  • Azure Well-Architected

Product & Delivery

11

Delivering, measuring and communicating the work.

  • React.js
  • JIRA
  • Confluence
  • Agile Delivery
  • BRDs
  • UAT
  • Next.js
  • TypeScript
  • Scrum
  • Figma
  • Lucidchart

Architecture disciplines

  • Enterprise Architecture
  • Solution Architecture
  • Integration Architecture
  • API Architecture
  • Cloud-Native Architecture
  • Event-Driven Architecture
  • Technical Governance
  • Architecture Roadmaps
  • High Availability & Scalability
  • Platform Engineering
  • Omnichannel Digital Platforms

Contact

Let's architect what comes next.

Interested in enterprise AI platforms, Generative AI architecture, agentic systems or digital transformation? I'd be glad to hear what you are building.

Connect on LinkedInEmail KeerthiResume
Email
keerthidamaraju.ai@gmail.com
Phone
+971 54 491 5339