This is a fully remote position, open to applicants in United States.

📋 Description

• Take charge of the AI-native architecture and its development.

• Oversee the entire process of AI/MLOps and AI telemetry.

• Spearhead the AI practice with a proactive approach.

⛳️ Requirements

• A minimum of 7 years of experience in machine learning, applied AI, or ML engineering, with recent hands-on involvement as a senior or principal-level developer in the generative AI era.

• A proven history of architecting and personally constructing enterprise generative AI systems that have made an impact on customers.

• A true builder at heart: actively writes code, deploys, and fine-tunes prompts and evaluations, with a desire to continue doing so in a leadership role.

• Extensive knowledge of the contemporary generative AI stack, including LLMs, agents, RAG, vector databases, embeddings, search, and evaluation frameworks.

• Practical experience in designing AI pipelines that encompass systems of systems, including search, retrieval, agent harnesses, and model selection/triage.

• Strong expertise in the Microsoft AI ecosystem: Azure OpenAI, Azure AI Foundry, Azure AI Search, along with the necessary Azure infrastructure.

• Experience managing MLOps and AI telemetry, including model deployment, evaluation pipelines, monitoring, drift detection, and observability of prompts/agents.

• Exceptional technical leadership abilities; proven capacity to influence architectural decisions across product and engineering teams.

• Excellent communication skills, particularly in articulating AI architecture trade-offs to executive and customer audiences.