AI Solution Architect

Senovo IT are looking for a GenAI / Agentic AI Solution Architect to design and lead the implementation of AI-driven, LLM-based solutions across multiple business use cases.

In this role, you will work closely with product, engineering, and architecture teams to translate business requirements into scalable AI architectures and guide delivery from Proof of Concept (POC) to production (MVP).

Key Responsibilities

• Design end-to-end architectures for GenAI and LLM-based solutions across multiple use cases.

• Translate business and technical requirements into scalable architecture and implementation designs.

• Collaborate with engineering teams, TPMs, and stakeholders to guide development and ensure alignment.

• Define reusable solution patterns and components to support scalable AI implementations across teams.

• Support POC → MVP development cycles, including feasibility and architecture assessments.

• Ensure solutions are modular, flexible, and scalable, avoiding monolithic AI implementations.

• Contribute to architecture governance and standards as the AI program evolves.

Required Skills & Experience

• 4–10 years of experience designing or engineering AI-powered systems.

• Strong experience with LLM-based applications and GenAI solutions.

• Experience with Retrieval-Augmented Generation (RAG) architectures.

• Knowledge of vector databases and embedding-based search.

• Experience designing agentic workflows / AI agents.

• Hands-on experience with Python-based AI stacks (e.g. LangChain, LangGraph).

• Experience designing modular and scalable architectures.

• Experience working with multi-component systems including:

  • Data ingestion pipelines

  • ETL processes

  • AI / ML layers

  • APIs and UI components

If interested and available , please share you Cv for an immiediate consideration.