AI Platform Engineer

PSR Associates is a consulting and talent solutions firm that connects qualified IT professionals with great opportunities. Whether you're looking for a contract or permanent position, we can help you find the right fit for your skills and experience. We have a team of experienced recruiters who know the IT industry inside and out, and we work with you every step of the way to ensure a smooth and successful transition. PSR Connecting Talent, Crafting Success.

AI Platform Engineer

We are seeking an AI Platform Engineer to join our team. The selected candidate will work onsite in Charlotte, North Carolina.

About the Role

We are seeking an AI Engineer to design, build, and scale AI/ML solutions with a focus on enterprise-grade generative AI deployments. This role requires hands-on experience delivering customer-facing AI solutions on Google Cloud Platform, including direct experience with Gemini Enterprise.

Experience

7+ years

Key Responsibilities

• Design, develop, and deploy AI/ML solutions and generative AI applications for enterprise customers.
• Architect and implement solutions leveraging Gemini Enterprise (Gemini for Google Workspace / Gemini Enterprise AI agents, grounding, and search).
• Build and productionize ML pipelines, APIs, and services using Python.
• Design and implement RAG (Retrieval-Augmented Generation) architectures, agentic workflows, and LLM-based applications.
• Deploy, monitor, and optimize models and services on GCP (Vertex AI, BigQuery, Cloud Run, GKE, Cloud Functions, Pub/Sub).
• Collaborate with customers and stakeholders to gather requirements and translate business problems into scalable AI solutions.
• Ensure solutions meet enterprise standards for security, scalability, performance, and cost efficiency.
• Partner with data engineering, MLOps, and platform teams to integrate AI capabilities into existing systems.
• Stay current with evolving GCP AI/ML offerings (Vertex AI, Gemini models, Agent Builder, Model Garden) and recommend adoption where relevant.
• Mentor junior engineers and contribute to best practices for AI/ML development.

Required Qualifications

• 7+ years of experience in software/AI/ML engineering roles.
• Hands-on customer-facing experience with Gemini Enterprise or equivalent enterprise GenAI platforms.
• Strong expertise in Google Cloud Platform (GCP), including Vertex AI, BigQuery, Cloud Run/GKE, IAM, and networking basics.
• Advanced proficiency in Python (ML libraries: TensorFlow, PyTorch, scikit-learn, LangChain/LangGraph, etc.).
• Solid understanding of LLM fundamentals: prompt engineering, fine-tuning, embeddings, vector databases, and RAG.
• Experience deploying and scaling ML models in production environments.
• Strong understanding of API design, microservices, and cloud-native architecture.
• Excellent communication skills, with the ability to engage directly with enterprise customers and stakeholders.

Preferred Qualifications

• GCP Professional certifications (Machine Learning Engineer, Cloud Architect, or Data Engineer).
• Experience with MLOps tooling (Vertex AI Pipelines, Kubeflow, MLflow).
• Experience with agentic AI frameworks and multi-agent orchestration.
• Background in enterprise sales engineering, solutions architecture, or pre-sales technical consulting.
• Familiarity with data governance, security, and compliance in AI/ML systems.

*** Please note that any false information on your resume or application could lead to the offer being withdrawn or even termination after hire.***