The AI engineering field is exploding as businesses race to embed generative intelligence into their products, making skilled engineers a hot commodity. This role in Phoenix offers a chance to build production‑grade AI pipelines on leading cloud platforms, directly impacting innovative solutions. If you have 8+ years of Python and cloud experience, this position could be a career‑defining move.

Job Summary

We are looking for a senior‑level AI Engineer who will design, develop, and deploy scalable data pipelines and generative‑AI solutions on GCP or AWS. The candidate must combine deep Python expertise with hands‑on experience in LLM integration, data modeling, and API development to deliver production‑ready, cloud‑native applications.

Top 3 Critical Skills Table

Interview Preparation

1. How do you design a scalable data pipeline for training large language models on cloud infrastructure?
   What the interviewer is looking for: Understanding of distributed processing, storage choices, and cost‑effective scaling on GCP/AWS.
2. Explain the trade‑offs between using managed services (e.g., BigQuery, SageMaker) versus custom compute for AI workloads.
   What the interviewer is looking for: Ability to evaluate performance, latency, security, and operational overhead.
3. Describe a situation where you integrated an LLM into an existing API service. What challenges did you face and how did you overcome them?
   What the interviewer is looking for: Real‑world experience with prompt engineering, latency optimization, and version control.
4. What best practices do you follow for data modeling in a high‑throughput AI pipeline?
   What the interviewer is looking for: Knowledge of schema design, partitioning, data validation, and governance.
5. Walk through your approach to monitoring and troubleshooting a cloud‑native AI application in production.
   What the interviewer is looking for: Familiarity with logging, alerting, A/B testing, and automated rollback mechanisms.

Resume Optimization

• Python
• Generative AI
• Large Language Models (LLM)
• GCP
• AWS
• Data Engineering
• Scalable Data Pipelines
• API Development
• Cloud‑native Applications
• Data Modeling

Application Strategy

When reaching out to the recruiter, send a concise email that opens with a friendly greeting, attaches your resume, and clearly highlights your top skills. Make sure to mention related skills you possess, such as advanced Python development, Generative AI/LLM integration, and extensive experience with GCP/AWS. Reference specific projects where you built scalable AI pipelines or cloud‑native solutions that align with the job description.

Career Roadmap