Sharad Bajaj — VP of Engineering
I am a senior engineering executive with 25+ years of experience building and scaling enterprise software, cloud platforms, and AI-native systems used by millions of customers globally. I was a founding member of Microsoft Teams and have since led global engineering organizations across Microsoft and AWS Amazon Connect (CcaaS), spanning large-scale distributed systems, data platforms, and generative AI. Today, my focus is on building AI-native enterprise platforms where LLMs, data systems, and agent workflows come together to deliver real business outcomes. My work includes: • Agentic AI systems and AI agents that can reason, act, and integrate with enterprise workflows • LLM platform architecture, including Retrieval-Augmented Generation (RAG) and grounding systems • Evaluation-driven development (LLM evals) to improve reliability, safety, and quality over time • Data + AI platforms that unify analytics, applications, and decision systems • Responsible and trustworthy AI, including governance, compliance, and explainability I believe enterprise AI fails when treated as a model problem. It succeeds when designed as a system grounded in business semantics, constrained by real-world data, and measured by decision quality, not just model accuracy. I focus on operationalizing this through: • Business ontology and semantic layers for enterprise AI • Decision-grade platforms connecting data, models, and actions • Scalable AI infrastructure designed for production, not demos • Alignment across engineering, product, and business teams Across my career, I’ve learned the hardest problems are not model performance, but: • Designing for real-world failure modes • Scaling systems under production constraints • Building AI systems that earn long-term trust I am particularly interested in connecting with leaders working on enterprise AI platforms, agent ecosystems, LLM infrastructure, and evaluation-driven systems.
Stackforce AI infers this person is a senior engineering executive specializing in AI-driven enterprise solutions and cloud platforms.
Location: Seattle, WA, USA
Experience: 26 yrs 6 mos
Skills
- Ai Platforms
- Engineering Management
- Platform Architecture
- Cloud Computing
- Contact Center As A Service (ccaas)
- Product Development
- Software Development
Career Highlights
- 25+ years of experience in enterprise software and AI systems.
- Founding member of Microsoft Teams, leading global engineering.
- Expert in building AI-native enterprise platforms.
Work Experience
Microsoft
Vice President of Engineering (Agent 365) (5 mos)
Amazon Web Services (AWS)
Director of Engineering (1 yr 11 mos)
Engineering Leader - Amazon Connect (AWS) (4 yrs 1 mo)
Microsoft
Engineering leader (GEM) - Microsoft Teams (2 yrs 6 mos)
Principal Software Engineering Manager - Microsoft Teams (2 yrs 2 mos)
Senior Engineering Manager - Bing Apps (5 mos)
Senior Engineering Manager -Bing Travel (10 mos)
Senior Engineering Manager - Dynamics CRM (2 yrs 2 mos)
Software Engineer II - Microsoft Office - Business Contact Manager (5 yrs 11 mos)
Minecode LLC USA
SDE (9 mos)
WOW Vision Pte. Ltd -Singapore
Software Design Engineer (2 yrs 11 mos)
Freshfield Communication Pvt Ltd
Software Design Engineer (1 yr 8 mos)
Veer
Programmer (1 yr 5 mos)
Education
B.Sc at Gurukula Kangri Vishwavidyalaya
High school at JIC Haridwar,UP India