Sr AI Engineer
Core
Architect and scale enterprise-grade Generative AI (GenAI) solutions, including LLMs, agent orchestration, and retrieval architectures, to solve real business challenges.
Role type
Senior IC Generative AI Engineer (Architecture & Scale)
Builds
Intelligent systems leveraging large language models (LLMs), agent orchestration frameworks, and embedding-driven retrieval architectures
Domain
Enterprise AI / Generative AI / Cloud Infrastructure
Deliverable
production ML models
Required skills
Python (3.10/3.11+), LLM APIs, vector databases, embedding models, agent orchestration frameworks, cloud-native AI deployment, CI/CD pipelines, containerization (Docker/Kubernetes), system design, performance tuning
Preferred skills
Model Context Protocols (MCP), agent-to-agent communication patterns, reusable GenAI frameworks, governance and observability tools, enterprise-scale AI deployments in supply chain or decision intelligence
Technologies
Azure, Docker, Kubernetes, LLM APIs, Vector Databases, Agent Frameworks
Responsibilities
Architect enterprise-grade GenAI systems using modular LLM APIs and agent orchestration; Design and implement autonomous agent workflows with context management; Optimize system performance, latency, and response accuracy; Lead architectural reviews and enforce prompt safety/governance; Collaborate to define reusable AI design patterns; Guide engineering pods on GenAI best practices; Develop reusable assets (SDKs, templates); Provide technical leadership and mentoring
Seniority
Senior, hands-on IC with architectural leadership
