Solution Architect (GenAI)

Responsibilities:

- Act as a professional technical consultant to enterprise clients, understanding business needs, presenting proposals, and providing architecture design and solution planning for AI/ML and GenAI applications on AWS.

- Prepare and deliver technical proposals, demos, and PoCs tailored to specific client use cases and business goals.

- Translate technical concepts into clear, business-relevant language that enterprise clients can easily understand.

- Work closely with internal business development, product, and engineering teams to deliver customized, value-driven solutions.

Requirements:

3+ years of experience in a technical role such as Solution Architect, Data Scientist, ML Engineer, or a related field.

Foundational understanding of LLM and GenAI concepts such as Prompt Engineering, Chatbot workflows, or RAG.

Basic system architecture knowledge to outline technical solutions.

Familiarity with basic machine learning concepts and libraries (e.g., scikit-learn, TensorFlow, or PyTorch).

Strong communication skills, able to create clear and persuasive presentation decks and confidently deliver technical talks or demos in client-facing scenarios.

Willingness to work across teams and adapt to a dynamic and collaborative working environment.

Proactive, curious, and eager to explore new GenAI technologies and trends.