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Protocol Intelligence
Data-driven signals on your job's competitivenessSenior AI role with popular title, metro location, and moderate employer brand increases applicant competition.
Role requires Google Cloud and agent-framework expertise, making partial cross-industry transferability.
Many mandatory cloud, LLM, and CI/CD requirements plus explicit 7+ years raise shortlist strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Deliver business-driven AI solutions rapidly by integrating existing cloud AI models and APIs, focusing on practical applications rather than novel algorithm development.
Translate business goals into scalable, maintainable AI-powered solutions with collaboration across cross-functional teams.
Design, deploy, and monitor AI-powered intelligent agents and build CI/CD pipelines for robust solution deployment on Google Cloud Platform.
Minimum Requirements
Bachelor’s or Master’s degree in Computer Science or Software Engineering.
Minimum 7 years of hands-on experience in AI engineering.
Proven expertise with Google Cloud Platform AI services (Vertex AI, Document AI, BigQuery ML) and integration into microservices.
Proficiency in SQL and Python programming language; experience with prompt engineering for large language models (LLMs).
Ideal Candidate Profile
Experience working in cloud-native, microservices-based environments, emphasizing API-driven and event-driven development patterns.
Strong familiarity with third-party LLMs (OpenAI, Anthropic, Gemini, Azure OpenAI) and agent development frameworks like Google Agent Development Kit.
Demonstrated ability to rapidly prototype (POCs) and apply CI/CD practices within Google Cloud, collaborating closely with DevOps and SRE teams.