AI Solution Architect

About the role

We are seeking an experienced AI Solution Architect to design and deploy robust, scalable AI solutions for Fortune 500 clients. The role covers generative AI models, autonomous AI agents, and operator‑based workflows, leveraging cutting‑edge frameworks and responsible AI practices.

Key responsibilities

• Plan, architect, and launch AI systems, including generative models and autonomous agents.
• Integrate AI solutions into existing business and data infrastructures.
• Evaluate and adopt RAG frameworks such as LangChain, Flowise, and RAGflow.
• Design data pipelines for ingestion, transformation, and indexing.
• Implement vector databases, semantic search, and knowledge‑base indexing.
• Develop prompt‑engineering and response‑validation mechanisms.
• Apply testing, quality control, and RLHF techniques where applicable.
• Architect agent‑based and operator‑based solutions that augment human workflows.
• Ensure scalability, security, and manageability using MLOps/DevOps best practices.
• Uphold responsible AI principles—transparency, fairness, privacy, and ethics.
• Communicate AI strategies to technical and non‑technical stakeholders.

Required profile

• 8+ years of software development and solution architecture experience.
• Deep understanding of generative AI and large language models.
• Hands‑on experience with prompt engineering, fine‑tuning, and RAG frameworks.
• Proven ability to build autonomous agentic and operator‑based solutions.
• Strong knowledge of AI ethics, governance, and responsible AI practices.
• Experience integrating AI into enterprise workflows and cloud environments.

Required skills

• LangChain
• Flowise
• RAGflow
• Pinecone
• FastAPI
• Kubernetes
• DevSecOps / MLOps
• Large Language Models (LLMs)
• Generative AI
• Prompt engineering
• Vector databases
• Semantic search
• RLHF (Reinforcement Learning from Human Feedback)
• Reinforcement learning
• Cognitive architectures
• Autonomous AI agents