Enterprise Cloud & Solution Architect and AI Product Owner with 10+ years translating complex business strategy into resilient, high-performance cloud platforms across AWS and Azure. Co-Founder & CTO at Data Clinch—building a multi-tenant AI SaaS platform for enterprise data analytics.
Delivered $2M+ in annual infrastructure savings, 65% latency reduction, and 99.9%+ SLA reliability for 500+ enterprise clients. Expert in pre-sales solution engineering, SAP/ERP integration, AI product roadmapping, and executive stakeholder advisory.
About Efosa Ojomo — Solution Architect | AI Product Owner | Cloud Architect
Enterprise Cloud & Solution Architect and AI Product Owner with 10+ years translating complex business strategy into resilient, high-performance cloud platforms across AWS and Azure. Recognised for bridging the gap between technical architecture and commercial outcomes—serving as a trusted advisor to C-suite stakeholders, leading pre-sales solution design engagements, and defining AI product roadmaps that drive revenue and operational efficiency.
Delivered $2M+ in annual infrastructure savings, 65% latency reduction, and 99.9%+ SLA reliability for 500+ enterprise clients. Deep expertise in SAP/ERP ecosystem integration, LLM & GenAI product strategy, event-driven microservices, Kubernetes platform engineering, and SRE-driven reliability. Currently Co-Founder & CTO at Data Clinch, building an AI SaaS platform for the enterprise data analytics market.
Work Experience
Co-Founder & CTO (Part-Time)
Data Clinch · On-site
Dec 2025 — Present
Co-founding and architecting a multi-tenant AI SaaS customer support platform, defining end-to-end product vision, infrastructure strategy, and technical roadmap for the enterprise data analytics market.
Directing AI model integration strategy—balancing cost-performance trade-offs to ensure platform scalability, extensibility, and competitive differentiation for enterprise clients.
Leading investor communication and stakeholder engagement, translating distributed systems architecture into clear business value propositions to support fundraising and strategic partnerships.
Established go-to-market strategy and platform positioning, driving enterprise client acquisition pipeline.
Serve as principal solution architect for an enterprise microservices platform supporting 500+ clients and 1M+ daily transactions at 99.9% SLA reliability.
Designed LLM-powered APIs using OpenAI and LangChain to automate compliance and reporting workflows, cutting manual review time by 85% across enterprise clients.
Delivered multi-cloud integration architecture connecting 15+ SAP/ERP ecosystems, optimizing enterprise data workflows valued at $10M+ annually.
Led Kubernetes-native CI/CD transformation using Terraform and Jenkins, reducing deployment time by 87% (2 hours → 15 minutes) and cutting failure rates by 60%.
Established end-to-end observability with Datadog, reducing P1 incidents by 45% and achieving 2.3-hour MTTR across distributed production systems.
Spring Boot 3.xKubernetesLangChainOpenAITerraformSAP ERPDatadog
Solution Architect & Technical Product Specialist
Microsoft (via LTIMindtree) · Hybrid
Sep 2022 — Jun 2024
Architected Python and Java microservices on Azure serving 100+ enterprise clients handling 5M+ daily requests at 99.95% system availability on Kubernetes.
Delivered 8 major product releases increasing customer retention by 25% through scalable architecture decisions and proactive stakeholder alignment.
Increased system throughput by 200% by refactoring monolithic applications into event-driven microservices with Redis caching and intelligent load balancing.
Led and mentored cross-functional team of 10 engineers across 3 time zones, reducing customer escalations by 35%.
Azure AKSPythonJavaRedisGitLab CIPrometheus
Cloud Architect & Solution Engineer
Amazon · Hybrid
May 2022 — Sep 2022
Contributed to high-availability distributed systems processing millions of daily transactions using Python Lambda, Step Functions, and AWS-native services.
Designed serverless architecture patterns reducing infrastructure costs by 35% and processing time by 50% through intelligent Step Functions orchestration.
Implemented CloudWatch custom metrics and Lambda-based anomaly detection, improving incident detection time by 70%.
AWS LambdaStep FunctionsPythonCloudWatchSRE
AI Solution Architect & Product Owner
Mind Machine · Remote
Oct 2020 — Oct 2021
Designed AI-powered microservices with FastAPI and ML integrations, reducing manual processing by 85% for 50+ enterprise clients.
Built secure RESTful API platform (JWT, OAuth2, RBAC, rate limiting) handling 1M+ daily requests with sub-second latency.
Achieved 99.2% uptime (up from 95%) and established 95% test coverage via pytest suites with CI automation.
FastAPIPythonML/AIPostgreSQLJWT/OAuth2
Cloud Architect & Site Reliability Engineer
Smarter Grid International · Remote
Oct 2018 — Oct 2020
Architected IoT data processing platform handling 50M+ daily sensor readings for enterprise energy management at 99.9% reliability.
Built scalable PostgreSQL-backed data pipelines and Python-based alerting framework integrated with PagerDuty for 24/7 incident response.
Reduced post-deployment defects by 50% and system downtime by 70% through zero-downtime CI/CD and comprehensive testing strategy.
Efosa Ojomo is a Software Engineer, Site Reliability Engineer, and Technical Product Specialist based in Austin, Texas with expertise in software development, SRE practices, system reliability, infrastructure automation, monitoring and observability, AWS, Azure, Google Cloud Platform, Kubernetes, Docker, microservices architecture, DevOps, incident response, and agile methodologies.
