Enterprise AI Solutions Architect

Job Description

Lead technical discovery calls and build end-to-end POCs and production integrations within customer environments. Guide customers on model selection and fine-tuning strategies while managing multi-stakeholder enterprise relationships.

Requirements: Candidates should have deep hands-on experience with LLM inference and training, along with strong Python programming skills. Previous experience in customer-facing technical roles and a proven track record of deploying production solutions within customer environments is essential.

Key Skills: Python, LLM Inference, Model Fine-Tuning, Kubernetes, AWS, Azure, GCP, GPU Optimization, Open-Source LLM Frameworks, Technical Discovery, Production Deployments, Customer Engagement, Technical Evaluation, Proof-of-Concepts, Load Testing, Stakeholder Management

Benefits: Competitive Equity Package, Quarterly Performance-Based Variable Compensation