We're looking for an experienced AI Solutions Architect to lead the design and architecture of an enterprise AI platform. You'll define scalable, production-ready solutions for agentic AI systems, LLM integrations, and AI services while mentoring engineering teams and driving technical standards.
What You'll Do
- Design and evolve architectures for agentic AI platforms, LLM orchestration, and AI services.
- Define API, microservices, and event-driven architecture standards.
- Lead architecture reviews, technical decisions, and engineering best practices.
- Collaborate with software and ML engineers to build scalable, secure AI solutions.
- Evaluate emerging AI frameworks and improve platform reliability, observability, and performance.
What You'll Need
- 10+ years of software architecture and engineering experience.
- 3+ years designing AI/ML platforms or GenAI applications.
- Strong experience with Python and Java, Go, or TypeScript .
- Experience with LLMs, Agentic AI, RAG, prompt engineering, and orchestration frameworks (LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen).
- Expertise in distributed systems, microservices, REST/gRPC APIs, and cloud platforms (AWS, Azure, or GCP).
Nice to Have
- Vector databases (Pinecone, Weaviate, pgvector).
- Knowledge graphs.
- TOGAF or other architecture certifications.
Key Skills: AI Architecture, Agentic AI, LLMs, RAG, LangChain, LangGraph, Semantic Kernel, Python, Microservices, Distributed Systems, Cloud Architecture, MLOps.
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