Applied AI Solutions Architect

📋 Description

• Lead client-facing Applied AI engagements from discovery to production support.
• Translate business needs into architecture, solution designs, and implementation plans.
• Collaborate with data scientists, engineers, and stakeholders to deliver measurable business value.

🎯 Requirements

• 8+ years designing or delivering data, analytics, cloud, software, ML, or AI solutions.
• 5+ years leading AI/ML, MLOps, or data-intensive production projects.
• Strong ability to translate requirements into architecture and delivery plans.
• Hands-on with production AI/ML systems, including observability, governance, and security.
• Experience with Snowflake, Databricks, AWS/Azure/Google Cloud, dbt, Anthropic/OpenAI, or similar.
• Proficiency in Python and SQL; ability to communicate complex concepts clearly.

🎁 Benefits

• Collaborative, global team with autonomy and ongoing professional development.
• Opportunities to work across predictive ML, generative AI, agentic systems, and intelligent
• Access to challenging projects, mentorship, and technical communities.