Egen

Principal AI/ML Architect setting technical direction for complex generative AI, agentic AI, and applied machine learning systems while remaining hands-on with architecture, model adaptation, retrieval, and production engineering. The role also advises executive clients, shapes pre-sales opportunities, and raises engineering standards across engagements.

Lead the design and operation of Azure enterprise data infrastructure across hybrid cloud environments, with a focus on Terraform automation, Kubernetes platforms, secure networking, and healthcare compliance. This role owns high-assurance cloud architecture spanning Azure and Google Cloud.

Lead application engineering and modernization initiatives using Java, Spring Boot, and Google Cloud while mentoring engineers and guiding scalable cloud-native delivery. This hands-on technical leadership role spans application development, migration, testing, observability, and Kubernetes deployment.

Build and operate the distributed training platform that powers large-scale AI workloads, from GPU scheduling and multi-node networking to benchmarking and evaluation. This hands-on engineering role combines production Python development with deep expertise in PyTorch, Ray Train, Kubernetes, and Google Cloud.

Own the development, maintenance, security, performance, and marketing technology integration of a WordPress-based website. This hands-on role combines PHP web development, digital security, disaster recovery, SEO optimization, and CRM/tracking integrations.

Lead the development of production-grade generative AI applications, including document intelligence, RAG pipelines, semantic search, and agentic workflows. You’ll combine deep LLM expertise with disciplined software engineering and client collaboration to deliver scalable AI solutions.

Senior Application Engineer building scalable full-stack applications and services that bring AI/ML insights to end users. The role spans Python backend services, modern front-end experiences, cloud-native deployment, APIs, and data platforms.

Lead the architecture and hands-on development of production-scale Generative AI and agentic systems while setting engineering standards for complex client engagements. This principal role combines deep LLM/ML expertise, technical leadership, client advisory work, and mentorship.

Lead the delivery of secure, scalable Google Cloud environments spanning infrastructure, connectivity, security, governance, and observability. This hands-on technical leadership role is suited to an experienced cloud engineer with 10+ years of relevant experience.

Build and productionize generative AI applications, document intelligence, RAG pipelines, and agentic workflows for clients. This senior role combines deep LLM expertise with disciplined software engineering, scalable architecture, and customer collaboration.