Gen AI Engineer Lead | Remote, Oregon, United States Gen AI Engineer Lead - Remote, US (W2)
About the Role
Join a forward-thinking team as a Gen AI Engineer Lead, where you'll architect and deliver the next generation of enterprise AI solutions on Microsoft Azure. As a technical leader, you'll drive innovation in Generative AI, multi-agent systems, and cloud-native engineering, empowering your multidisciplinary team to build intelligent, secure, and scalable platforms that transform business operations. This is your opportunity to set technical direction, foster a high-performance engineering culture, and shape the future of enterprise AI while enjoying the flexibility of remote work.
Responsibilities
- Lead, mentor, and develop a high-performing engineering team, promoting innovation, accountability, and continuous improvement.
- Architect enterprise-grade, scalable, and secure AI platforms on Microsoft Azure, integrating large language models, agent-based systems, and Power Platform solutions.
- Design and implement multi-tenant SaaS architectures, ensuring data isolation, security, and cost optimization.
- Develop and manage robust, full-stack applications using Python, React, TypeScript, and modern backend frameworks.
- Integrate advanced GenAI systems, including LLMs, Retrieval-Augmented Generation (RAG), and custom agents using frameworks like LangChain, LangGraph, AutoGen, or Semantic Kernel.
- Oversee model lifecycle operations, including fine-tuning, retraining, evaluation, and governance using Azure AI, OpenAI Service, and industry-standard MLOps practices.
- Collaborate with stakeholders to enable rapid development with Power Platform (Power Apps, Power Automate, Power BI) and ensure seamless integration with Azure services.
- Lead the design of robust data pipelines and ensure data quality and compliance with Responsible AI standards.
- Optimize compute resources, implement auto-scaling, and champion security, compliance, and operational reliability.
Required Skills and Experience
- 10+ years in AI/ML engineering, with 5+ years leading high-performing teams and managing offshore delivery.
- Deep expertise in Generative AI, LLMs, agent-based systems, and multi-tenant SaaS architectures.
- Proven hands-on experience building and deploying enterprise solutions on Microsoft Azure.
- Strong proficiency with Python, AI/ML frameworks (TensorFlow, PyTorch, Keras), and full stack development (React, TypeScript, FastAPI/Flask).
- Demonstrated experience in RAG workflows, vector databases (Azure AI Search), and orchestration frameworks (LangChain, Semantic Kernel).
- Solid foundation in microservices, APIs, event-driven design, and CI/CD best practices.
- Strong knowledge of security, compliance, and cloud governance standards.
- Excellent leadership, communication, and stakeholder management skills.
- Experience working in Agile, Scrum, or Kanban environments.
Preferred Skills
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
- Experience with Azure AI Studio, Hugging Face, Tinker AI, or MosaicML for LLM adaptation and fine-tuning.
- Knowledge of parameter-efficient tuning (LoRA, PEFT, QLoRA) and modern prompt engineering.
- Proficiency in Infrastructure as Code (Bicep, Terraform), containerization (Docker, Kubernetes), and Azure DevOps.
- Experience with Azure Data Factory, Synapse, Databricks, and the Power Platform ecosystem.
- Multi-tenant SaaS and API Gateway integration expertise.
Benefits
- Fully remote work environment with flexible schedules.
- Opportunity to lead and shape a cutting-edge AI engineering practice at scale.
- Work with the latest Azure and GenAI technologies in a highly innovative, collaborative team.
- Career growth and leadership development in enterprise AI.
- Competitive compensation and comprehensive benefits.
How to Apply
Ready to lead the future of AI? Submit your resume today to join our exclusive project and make an impact in enterprise AI innovation.
