Candidate Profile — Candidate #2
Position: Modular — Engineering Director, GenAI Enterprise (Remote)
Candidate Location: Santa Clara County, California
Experience: 22.9 years experience
Relevant Experience & Education Highlights
Proven leader in customer-facing GenAI architecture with deep hands-on experience in LLM orchestration, production deployments, and team leadership, ideally suited to build and direct Modular's GenAI Enterprise team.
1. Serve as the primary engineering point of contact for enterprise prospects and customers
Drove GenAI adoption and platform modernization for Fortune 500 enterprises through direct technical engagements and executive workshops.
- Spearheaded architecture, orchestration, and deployment of LLM-based systems for customer support, engineering, marketing, and design automation.
- Conducted 100+ field workshops, CxO briefings, and solutioning sessions, generating $20M+ in pipeline AI revenue.
- Cultivated relationships with customer leadership and technical stakeholders across major accounts totaling $120M.
- Led CoE initiatives creating reference architectures and adoption playbooks used by 100+ customers.
2. Deliver and demonstrate real, measurable value of the Modular platform to customers through targeted production solutions
Built autonomous agents, modular toolkits, and optimized pipelines delivering quantifiable business impact for enterprise clients.
- Designed GenAI Controller using LangChain, Semantic Kernel, GPT-4, Claude, Mistral, and LLaMA, reducing manual effort by 40%.
- Developed agentic AI for workflow automation in customer service and engineering triage, dropping ticket resolution time by 35%.
- Created Copilot and data kits for summarization and synthetic data generation, cutting development time by 60%.
- Implemented CUDA-accelerated LLM pipelines with MLflow observability and Responsible AI governance.
3. Hands-on experience with production AI workloads including scaling and serving large models
Led MLOps and GPU optimization for scalable GenAI workloads across cloud platforms.
- Optimized LLM pipelines using CUDA for real-time document intelligence and spec-to-code generation.
- Integrated observability and governance for model drift detection, hallucination control, and data privacy.
- Launched voice-first GenAI platform using Data Mesh-based speech stack, deployed in production for 100+ enterprises.
- Designed scalable data platforms and AI pipelines for GenAI-ready workloads at a premier cloud data platform company.
4. 3+ years of management experience with a proven track record of building high-performing collaborative teams
Led technical sales, solutions architecture, and enablement teams driving multimillion-dollar revenue and product adoption.
- Directed global solutions sales for converged infrastructure, big data analytics, hybrid cloud, IoT, ML, and AI applications.
- Partnered with sales teams to develop business solutions, achieving $120M in revenue for enterprise storage and data management.
- Enabled business unit alignment across marketing, HR, legal, and support domains through GenAI accelerators.
- Reviewed 1000+ solutions architectures to influence product sales across global customers.
Requirements & Candidate Alignment
| Modular Requirement | Candidate Qualification |
|---|---|
| 7+ Years of experience in a customer-facing technical roles where you solved hard problems alongside clients | 22.9 years driving GenAI strategies and architectures for top enterprise customers at major cloud providers and data platforms |
| 3+ Years of management experience with a proven track record of building high-performing collaborative teams | Extensive management as Chief Technologist and Technical Director leading global teams to $120M+ revenue |
| In-depth understanding of the GenAI execution lifecycle, deployment methodologies, along with testing and quality evaluation methodologies | Deep expertise in LLM orchestration, MLOps with MLflow, Responsible AI governance, and production observability |
| Proven ability to translate complex technical concepts into clear, concise, and understandable language that resonates with for both clients and internal teams | Strong communication via 100+ workshops, CxO briefings, playbooks, and re:Invent speaking engagements |
| Demonstrated ability to rapidly prototype and deliver Proofs of Concept (POCs) that win customer confidence | Rapid prototyping of GenAI controllers, autonomous agents, and modular toolkits accelerating customer onboarding 10x |
| Adept at navigating ambiguity and ability to exercise sound judgment to identify appropriate solutions and tools, while avoiding unnecessary complexity | Proven navigation of enterprise challenges in hybrid cloud, IoT, ML across hyperscalers like Azure, GCP, AWS |
| Hands-on experience with production AI workloads including scaling and serving large models | Hands-on production scaling with CUDA-accelerated pipelines, voice-first platforms, and Data Mesh architectures |
| Proficiency in Mojo, Python, C++, or CUDA programming languages, plus familiarity with frameworks such as MAX, Pytorch, or vLLM | Proficiency in Python, C++, CUDA, for LLM pipelines and GenAI workloads |
If you would like to discuss this candidate or other critical roles, here is a link to my calendar to schedule a call:
Schedule a CallContact:
Finding the signal in the noise since 2005