Solution Architect

Project Description:
Our client is building data- and AI-driven solutions in a cloud-first environment, with a strong focus on GCP, BigQuery, and large-scale data workflows. The current work is centered around exploring and defining new solution directions, especially in voice-related use cases, where architecture decisions must balance feasibility, scalability, and production readiness.
The environment is highly collaborative and cross-functional, bringing together technical leadership, data scientists, and engineering teams to shape complex solutions from early discovery through implementation.

We are hiring a Solutions Architect to help define and shape solution architecture for new data- and AI-driven initiatives.
This is an architecture-focused role working on GCP-based systems, big data modeling, and agentic / LLM-oriented solution design, with a strong emphasis on turning ambiguous requirements into clear technical options.
You will work on early-stage solution design, feasibility analysis, production architecture planning, and proof-of-concept preparation. The role is especially relevant for candidates with experience in voice data, call-agent systems, or similar real-time / unstructured data environments.

Required skills:
Tech Stack !!!:

• Python
• GCP
• BigQuery
• SQL / data modeling
• Large-scale data systems
• LLM / agentic solution design
• Streaming systems (nice to have)
• Voice / call-agent environments (strong plus)

What We’re Looking For !!!:

• Strong experience with GCP and cloud-native architecture;
• Strong Python background;
• Deep understanding of big data, data modeling, and analytical storage systems;
• Experience designing scalable, production-oriented architectures;
• Ability to operate in ambiguous environments and translate ideas into solution options;
• Strong communication and documentation skills;
• Ability to explain trade-offs clearly and collaborate across technical streams.

Interview process:

• EnglishCheck
• Internal Tech Interview
• Interview with the client

Responsibilities:

• Define architecture options for new data and AI solutions
• Evaluate technical feasibility of proposed voice-agentic systems
• Design production-grade solution approaches on GCP, especially around BigQuery
• Work with large, unstructured datasets and define storage / transformation strategies
• Support solution design involving LLMs and agentic workflows
• Prepare architecture documentation and technical recommendations
• Help shape proof-of-concept direction and technical scope
• Collaborate closely with technical leadership, data scientists, and engineering teams

Need overlap with Australia timezone !!!