Artificial Intelligence Engineer

About the role

We are seeking an experienced Artificial Intelligence Engineer to design, develop, and deploy high‑performance data platforms and agentic AI solutions. The role involves working closely with customers and internal teams to deliver cloud‑native, production‑grade AI services.

Key responsibilities

• Architect and implement enterprise‑scale AI and data platforms on Google Cloud.
• Develop, test, and launch AI agents and machine‑learning models using the GCP stack.
• Automate infrastructure provisioning and manage CI/CD pipelines for AI workloads.
• Collaborate with data scientists and software engineers to translate business requirements into technical solutions.
• Provide technical consulting and support throughout project lifecycles.

Required profile

• 5+ years of experience designing and deploying data platforms and AI solutions.
• Proven track record delivering cloud enterprise projects to completion.
• Strong problem‑solving abilities and solid software design fundamentals.

Required skills

• Advanced Python programming, including data structures and algorithms.
• Deep expertise with Google Cloud Platform services: AlloyDB, Cloud Storage (GCS), Google Kubernetes Engine (GKE), Gemini Enterprise, and Vertex AI (Agent Platform).
• Experience with DevOps/MLOps practices, infrastructure‑as‑code, and CI/CD pipelines.
• Google Cloud Professional ML Engineer certification.