Candidate Profile — Candidate #4
Position: Modular — Engineering Director, GenAI Enterprise (Remote)
Candidate Location: Not specified
Experience: 29.1 years experience
Relevant Experience & Education Highlights
Leads AI/ML/GenAI teams in customer-facing roles with hands-on production deployments of edge and cloud AI solutions, delivering strong alignment for directing Modular's GenAI Enterprise team.
1. Serve as the primary engineering point of contact for enterprise prospects and customers
Dived deep into unique customer challenges across defense, cloud, and enterprise applications.
- Led development and deployment of tactical ISR solutions for military applications, including GPS-denied drone navigation and multi-domain edge AI pipelines.
- Specialized in sensor fusion with LiDAR, EO/IR, radar, and real-time inference on low-SWaP platforms such as NVIDIA Jetson AGX and Orin.
- Collaborated on resilient infrastructure and AI/ML innovations across automotive, IoT, manufacturing, defense, and logistics sectors at a major cloud provider.
2. 3+ years of management experience with a proven track record of building high-performing collaborative teams
Managed multidisciplinary engineering teams focused on AI/ML/GenAI, DevOps, and production systems.
- Directed teams across network operations, OTA updates, GPU compute, cloud/edge orchestration, and VLM/LLM inference workflows.
- Established first DevOps team with CI/CD pipelines aligned to government standards at a drone technology company.
- Spearheaded agile transformation, project management excellence, and automation driving $220 million in ad revenues using Azure Pipelines and SRE practices.
3. Hands-on experience with production AI workloads including scaling and serving large models
Delivered production-ready CV/NLP observability, monitoring pipelines, and deep learning systems.
- Developed fleetwide telemetry, diagnostics, and early-failure detection for airborne and ground-based ISR platforms.
- Designed and deployed TensorFlow-based deep learning recommender engine with IaC, containers, and security via CI/CD.
- Built ROS/ROS2-based autonomy MVPs with custom payload orchestration, leveraging Python, C++, PyTorch, and CUDA for GenAI execution.
- Implemented VLM and LLM inference workflows on edge devices and cloud, including scaling for contested environments.
4. Demonstrated ability to rapidly prototype and deliver Proofs of Concept (POCs) that win customer confidence
Prototyped and deployed solutions addressing real-world customer needs in AI/ML and GenAI.
- Created advanced tools for tactical embedded edge computing and cloud R&D in ISR applications.
- Led curriculum and instruction in AI/ML, cloud technologies, AWS, and full-stack development as part-time lecturer.
- Drove technical enablement and pre-sales activities with agile methodologies and solution architecture.
Requirements & Candidate Alignment
| Modular Requirement | Candidate Qualification |
|---|---|
| 7+ Years of experience in a customer-facing technical roles where you solved hard problems alongside clients | 29.1 years total experience including principal manager roles in AI/ML/GenAI, cloud solutions, and enterprise deployments across defense and commercial sectors |
| 3+ Years of management experience with a proven track record of building high-performing collaborative teams | Principal Manager in AI/ML/GenAI leading multidisciplinary teams for edge computing, DevOps, and production AI pipelines |
| In-depth understanding of the GenAI execution lifecycle, deployment methodologies, along with testing and quality evaluation methodologies | Production GenAI deployments with VLM/LLM inference, observability pipelines, CI/CD, and monitoring on NVIDIA Jetson and cloud platforms |
| Proven ability to translate complex technical concepts into clear, concise, and understandable language that resonates with for both clients and internal teams | Teaching and enablement expertise as lecturer in AI/ML/cloud courses and technical lead in pre-sales and customer innovations |
| Demonstrated ability to rapidly prototype and deliver Proofs of Concept (POCs) that win customer confidence | Prototyped ROS/ROS2 autonomy MVPs and custom GenAI payloads for tactical ISR and edge applications |
| Adept at navigating ambiguity and ability to exercise sound judgment to identify appropriate solutions and tools, while avoiding unnecessary complexity | Led agile transformations and resilient designs in contested environments, IoT, and defense with CI/CD and SRE practices |
| Hands-on experience with production AI workloads including scaling and serving large models | Deployed scalable inference for CV/NLP on low-SWaP edge devices and cloud, including TensorFlow recommenders and fleet telemetry |
| Proficiency in Mojo, Python, C++, or CUDA programming languages, plus familiarity with frameworks such as MAX, Pytorch, or vLLM | Proficient in Python, C++, CUDA for GenAI workflows, real-time inference, and deep learning production systems |
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