Gen AI Lead Developer
About The Position
Design end-to-end AI/ML architecture including data ingestion, model training, inference, and monitoring systems • Define technical standards, best practices, and governance frameworks for AI/ML implementations • Architect scalable GenAI solutions including LLM deployments, RAG systems, and multimodal AI applications • Lead architectural reviews and provide technical guidance to development teams • Design integration patterns between AI services and existing enterprise systems • Evaluate and recommend AI/ML technologies, platforms, and vendor solutions • Create technical roadmaps aligned with business objectives and AI strategy • Assess technical feasibility of AI use cases and provide effort estimations • 8+ years of experience in software architecture with 3+ years focused on AI/ML systems • Strong experience with cloud platforms (Azure preferred) and distributed systems architecture • Deep understanding of LLM architectures, transformer models, and generative AI patterns • Experience with MLOps tools and practices (Azure ML, Docker, Kubernetes) • Proficiency in Python and familiarity with AI/ML frameworks (PyTorch, TensorFlow, Hugging Face) • Experience with Azure AI Foundry, LangChain, LangGraph, and Copilot Studio • Strong technical leadership and mentoring capabilities • Experience with microservices architecture, API design, and event-driven systems
Requirements
- 8+ years of experience in software architecture with 3+ years focused on AI/ML systems
- Strong experience with cloud platforms (Azure preferred) and distributed systems architecture
- Deep understanding of LLM architectures, transformer models, and generative AI patterns
- Experience with MLOps tools and practices (Azure ML, Docker, Kubernetes)
- Proficiency in Python and familiarity with AI/ML frameworks (PyTorch, TensorFlow, Hugging Face)
- Experience with Azure AI Foundry, LangChain, LangGraph, and Copilot Studio
- Strong technical leadership and mentoring capabilities
- Experience with microservices architecture, API design, and event-driven systems
Responsibilities
- Design end-to-end AI/ML architecture including data ingestion, model training, inference, and monitoring systems
- Define technical standards, best practices, and governance frameworks for AI/ML implementations
- Architect scalable GenAI solutions including LLM deployments, RAG systems, and multimodal AI applications
- Lead architectural reviews and provide technical guidance to development teams
- Design integration patterns between AI services and existing enterprise systems
- Evaluate and recommend AI/ML technologies, platforms, and vendor solutions
- Create technical roadmaps aligned with business objectives and AI strategy
- Assess technical feasibility of AI use cases and provide effort estimations
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
