Artificial Intelligence Senior Associate

Position Description

Employees in this job function are responsible for developing intelligent programs, cognitive applications and algorithms for data analysis and automation, leveraging various AI techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming

Key Responsibilities

• Understand business requirements and develop AI algorithms, models and programs to solve complex problems, generate recommendations, extract patterns, make predictions, interpret sensor data (images, sound), orchestrate automation and enable self-service capabilities 2) Perform large-scale experimentation and develop data driven applications that translate data into actionable intelligence 3) Drive innovative applications of Artificial Intelligence tools and techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming 4) Research and optimize AI technologies to enhance efficiency and accuracy of data analysis and create more efficient automation

Skills Required

Google Cloud Platform, Python

Skills Preferred

Coding

Experience Required

Senior Associate Exp

3 to 5 years experience in relevant field

Experience Preferred

• Experience with Infrastructure-as-Code (Terraform) and DevOps practices.
• Familiarity with CI/CD tools like Tekton or Jenkins.
• Experience with Cloud Run, Big Query and GitHub CoPilot.
• Understanding of Agile methodologies.
• Experience with backend frameworks such as Flask, Django, FastAPI.
• Experience with Test-First/Test Driven Development (TDD), MVP, Evolutionary design.
• Basic understanding of Machine Learning.

Education Required

Bachelor's Degree

Additional Information

Hybrid Role 4 days a week onsite This role focuses on hands-on development of AI-powered systems that:

• Integrate Google LLMs with BigQuery data
• Build tool-using AI agents for root cause analysis
• Persist investigation intelligence across sessions
• Deliver explainable insights to quality engineers What You Will Buil d
• AI agents that generate and execute BigQuery SQL autonomously
• Investigation memory models (structured + optional semantic)
• Multi-step reasoning workflows
• APIs that power UX for quality engineers
• Logging, traceability, and governance mechanisms