Lead AI/ML & Generative AI Architect (Azure Platform Lead)
Role details
Job location
Tech stack
Job description
- Act as the lead architect and handson contributor for AI/ML and Generative AI initiatives across the enterprise
- Design and implement traditional ML, advanced analytics, and GenAI solutions (LLMs, embeddings, retrievalaugmented generation, copilots, intelligent assistants)
- Translate business use cases into scalable, productionready AI architectures
- Define standards and best practices for model development, evaluation, deployment, and governance
Azure Platform & Data Architecture
- Architect and deploy AI solutions primarily within an Azurebased ecosystem
- Leverage Azure AI Foundry, Azure OpenAI, Azure ML, and supporting Azure services
- Design and optimize data pipelines and feature stores using:
- Databricks
- Snowflake
- Oracle
- Redis
- Ensure architectures are secure, performant, scalable, and costefficient
Development & Deployment (HandsOn)
- Build and review productionquality code, primarily in Python
- Support both architecture and development, including:
- Model training and experimentation
- API/service design
- CI/CD and MLOps practices
- Drive deployment into production using Azurenative and cloudaligned deployment patterns
Collaboration & Delivery
- Work effectively with offshore development teams, providing clear architectural guidance and code reviews
- Partner closely with data engineers, platform teams, product owners, and business stakeholders
- Serve as a technical mentor and thought leader within the AI practice
Requirements
Seeking a Senior AI / ML & Generative AI Architect to serve as a technical and strategic leader across enterprise AI initiatives. This individual will own endtoend AI solution architecture, development, and deployment, with a strong emphasis on Azure-native platforms and data infrastructure. This role is ideal for a handson architect who can design, build, and operationalize AI/ML and GenAI solutions, while partnering with business and engineering teams to move ideas into production quickly. Must be comfortable working with onshore and offshore delivery teams., * Seniorlevel experience in AI/ML and Generative AI
- Strong expertise in Microsoft Azure, with handson production experience
- Experience with Azure AI Foundry
- Deep experience with:
- Databricks
- Snowflake
- Oracle
- Redis
- Strong Python development skills
- Experience across architecture, development, and deployment (not architectureonly)
Platform & Data Experience
- Strong understanding of cloud data platforms, modern data stacks, and AIaligned architectures
- Experience designing scalable, resilient ML/AI systems in enterprise environments
- Familiarity with MLOps, model lifecycle management, and deployment automation
Collaboration & Leadership
- Comfortable working with offshore and distributed teams
- Excellent communication skills; able to explain complex AI concepts to technical and nontechnical audiences
- Proven ability to lead technically while remaining handson
Nice to Have
- Experience in retail, supply chain, logistics, or fieldbased operations