Principal Architect AI
Core
Design and architect next-generation GenAI and Agentic AI systems that integrate with enterprise business planning workflows.
Role type
Principal AI Architect (GenAI & Agentic Systems)
Builds
GenAI solutions, conversational AI interfaces, autonomous planning agents, and agent-to-agent communication frameworks.
Domain
Enterprise SaaS, Business Planning, Generative AI, Multi-Agent Systems
Deliverable
production ML models | product features
Required skills
Software architecture, LLM architecture, prompt engineering, multi-agent systems, Python, RESTful APIs, microservices, event-driven architectures, PyTorch/TensorFlow, LangChain/LlamaIndex/CrewAI/Haystack
Preferred skills
Model Context Protocol (MCP), vector databases, RAG architectures, semantic search, cloud platforms (AWS/Azure/GCP) AI services, SaaS/enterprise software experience
Responsibilities
Design GenAI and conversational AI solutions for the planning platform; Develop architecture patterns for agentic systems and A2A communication; Design prompt engineering frameworks for forecasting and financial modelling; Collaborate on API contracts and integration patterns; Evaluate AI/ML technologies for security and scalability; Lead architecture reviews and mentor engineering teams; Partner with data science to translate models into scalable architectures; Design observability and evaluation frameworks for GenAI systems.
