Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Engineering, Data Science, or similar
Experience: 7-10 years in IT, including 4-5 years in AI/ML/Applied AI with a proven track record of delivering production AI solutions that drive measurable business impact
Experience in enterprise AI architecture
Experience with at least one major cloud platform: Google Cloud, AWS, or Azure (GCP preferred)
Strong Python proficiency, Object-Oriented Programming (SOLID principles), and efficient use of data structures & algorithms
Hands-on experience with modern AI/ML frameworks such as PyTorch, TensorFlow, or JAX
Hands-on experience building LLM-powered applications, with experience in agentic and/or multi-agent patterns
Hands-on experience with agent/orchestration frameworks (e.g., ADK, Dialogflow, or similar)
Proficiency with Git, CI/CD pipelines, and unit testing frameworks (e.g. PyTest, JUnit)
Experience deploying services such as BigQuery and Cloud Run (or comparable managed data/compute services)
Strong understanding of data fundamentals relevant to AI products (ingestion, data quality, preprocessing, feature creation, and query optimization)
Cloud architectures, APIs, data pipelines, security best practices
Strategic thinking and problem‑solving
Strong communication and stakeholder management
