Senior AI Engineer

Job Title: Senior AI Engineer – Google Cloud Platform (GCP)

Location: Charlotte, NC / St. Louis, MO (Hybrid)

Duration: Long-Term

Job Description:

We are seeking a highly experienced Senior AI Engineer with strong expertise in Google Cloud Platform (GCP), AI/ML engineering, and enterprise architecture. The ideal candidate will have hands-on experience developing and deploying scalable AI solutions using Python, NLP, Generative AI, LLMs, RAG, and Agentic AI.

Key Responsibilities:

• Design, develop, and deploy AI/ML solutions using Python and GCP services.
• Build and optimize Generative AI applications using LLMs, RAG architectures, and Agentic AI frameworks.
• Develop NLP pipelines and intelligent enterprise AI applications.
• Implement LLMOps/MLOps practices for model deployment, monitoring, evaluation, and lifecycle management.
• Design scalable AI architectures using cloud-native services, APIs, and microservices.
• Integrate AI solutions with enterprise data platforms and business applications.
• Ensure security, scalability, performance, and governance across AI solutions.
• Collaborate with cross-functional teams to define AI strategies and deliver production-ready solutions.

Required Qualifications:

• Bachelor's degree or equivalent qualification in Computer Science, Information Technology, or a related field.
• 12+ years of experience in IT, AI/ML engineering, or related technical fields.
• Strong hands-on experience with

Google Cloud Platform (GCP)

and Python.

• Expertise in AI/ML, NLP, Generative AI, LLMs, RAG, and Agentic AI.
• Experience with enterprise AI architecture and production deployment.
• Strong understanding of LLMOps/MLOps, model evaluation, and monitoring.

Good to Have:

• Google BigQuery and Google Kubernetes Engine (GKE).
• Vector search, embeddings, and vector databases.
• Data engineering and distributed data processing.
• Microservices and REST APIs.
• IAM, cloud security, and governance.
• Terraform, CI/CD pipelines, and infrastructure automation.