MLOps

Job Role : AI Strategist / Architect (AWS AI Expert) Location : Miami, Fl ( Onsite )

Job Description for AI Architect (Onsite) :

Key job responsibilities :

• Build and maintain technical trusted advisor relationships with influential technical decision-makers to drive successful adoption and deployment of AWS / Google Cloud Platform services, with particular focus on enterprise-grade AI / ML architectures, Generative AI solutions, and autonomous agent systems.
• Architect scalable, secure, and cost-effective solutions leveraging AWS / Google Cloud Platform comprehensive AI services, working with our customers to deeply understand their business needs and to design a technical solution that takes best advantage of the AWS / Google Cloud Platform Cloud platform and Gen AI Services / ML Services.
• Serve as a thought leader in the AI / ML space by developing compelling technical content and practical implementations showcasing modern AI architectures. Create reference architectures, workshops, and demos that highlight integration patterns for LLMs, RAG systems, autonomous agents, and MLOps best practices.
• Build and nurture an internal AI / ML experts, focusing on knowledge-sharing across traditional ML, Generative AI, and Agentic AI domains. Establish best practices for emerging technologies.
• Collaborate across teams to accelerate customer success with AI / ML implementations. Work with business development, professional services, and support teams to ensure effective adoption of AWS / Google Cloud Platform AI services, from proof-of-concept to production deployment.
• Drive technical excellence as a key member of the Data and AI Specialist team. Act as a technical liaison between customers and engineering teams, ensuring successful implementation of AI solutions while maintaining alignment with AWS / Google Cloud Platform well-architected framework and AI best practices.

Basic Qualifications :

Preferred Qualifications :