AI Field Engineer Enterprise - AI Talent Hunt

Key Responsibilities

• Conduct technical discovery sessions and define scope for proof‑of‑concept engagements with enterprise clients.
• Design, develop, and deploy end‑to‑end generative AI solutions using Python, AWS services, Docker, and Kubernetes.
• Implement robust CI/CD pipelines and MLOps practices to ensure rapid, reliable model deployment and monitoring.
• Collaborate with cross‑functional teams to integrate AI models into customers’ production environments and provide ongoing support.
• Translate complex technical concepts into clear, actionable insights for non‑technical stakeholders.

Requirements

• 5+ years of experience in AI/ML engineering with a focus on generative models.
• Proficiency in Python, AWS, Docker, Kubernetes, and CI/CD tooling.
• Strong communication skills and proven ability to lead customer‑facing technical engagements.
• Experience with MLOps frameworks and model monitoring in production.
• Ability to work independently in a hybrid, remote‑friendly environment.