Position
AI Architect
Location: Remote
Duration: 12+ Months Contract
Looking for AI Architect (Google AI Architect) with below skills
- Google Cloud Tensor Processing Units
- TPU TensorFlow, and PyTorch
Key Responsibilities
TPU Configuration & Optimization
We are seeking an experienced AI Architect with strong expertise in Agentic AI systems to design and implement intelligent, autonomous AI solutions that can reason, plan, and execute complex tasks. The ideal candidate will have deep experience in large language models (LLMs), multi-agent systems, orchestration frameworks, and AI infrastructure, along with the ability to translate business requirements into scalable AI architectures.
This role will involve architecting end-to-end AI solutions, guiding engineering teams, and ensuring reliable deployment of agent-based AI systems across enterprise environments.
Required Qualifications
- Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
- 9+ years of experience in software engineering, machine learning, or AI architecture.
- 3+ years of experience working with LLM-based systems and generative AI solutions.
- Strong experience designing Agentic AI or multi-agent architectures.
- Proficiency with Python and AI/ML frameworks.
- Hands-on experience with LLM orchestration frameworks such as LangChain, AutoGen, CrewAI, Semantic Kernel, or similar.
- Experience working with vector databases (Pinecone, Weaviate, FAISS, etc.).
- Knowledge of RAG architectures, prompt engineering, tool integration, and memory management in AI agents.
- Experience deploying AI workloads in cloud environments (Azure, AWS, or Google Cloud Platform).
- Strong understanding of API design, microservices architecture, and distributed systems.