Applied AI Solutions Architect

📋 Description

• Design end-to-end Applied AI solutions across ML, MLOps, generative AI, LLM apps, agentic
• Translate business needs into technical architectures, designs, plans, and measurable success
• Support prototypes, PoCs, and production deployments with hands-on guidance and high-quality
• Collaborate with clients, architects, engineers, and cross-functional teams via discovery sessions
• Recommend AI, cloud, and data technologies while navigating complex technical decisions.
• Ensure AI systems meet security, scalability, observability, governance, cost, and performance

🎯 Requirements

• 8+ years designing, building, or delivering Data, Analytics, Cloud, Software, ML, or AI solutions.
• At least 5 years leading production AI, ML, MLOps, or data-intensive projects.
• Strong understanding of predictive ML, generative AI, LLMs, RAG, and agentic architectures.
• Hands-on experience operating production AI/ML systems with lifecycle governance and monitoring.
• Experience with Snowflake, Databricks, AWS, Azure, Google Cloud, dbt, Anthropic, OpenAI or
• Strong Python programming, solid SQL, and software development practices.

🎁 Benefits

• Remote-first environment with global collaboration.
• Competitive compensation and benefits.
• 401(k) with company match.
• Dental and vision insurance.
• Home office equipment stipend.
• Annual learning and development stipend.