Applied AI solutions Architect
Core
Design and deliver production-ready Applied AI solutions (predictive ML, MLOps, generative AI, LLM apps, agentic workflows) for enterprise clients, translating business challenges into technical architectures and implementation plans.
Role type
Senior Applied AI Solutions Architect (Client-facing IC)
Builds
Intelligent systems on modern data and cloud foundations connecting enterprise data, knowledge, and processes
Domain
Enterprise Data & AI / Cloud Infrastructure
Deliverable
production ML models | product features | client delivery
Required skills
Applied AI solution architecture, MLOps, generative AI, LLM application design, agentic workflows, cloud platform evaluation, data platform integration, technical proposal development, stakeholder management, hands-on prototyping, production operationalization
Preferred skills
RAG patterns, semantic retrieval, tool/function calling, orchestration, human-in-the-loop workflows, responsible AI governance, CI/CD for ML, model monitoring and evaluation
Technologies
Snowflake, AWS, Azure, GCP, Anthropic, dbt, Fivetran, Pinecone, Glean, Dataiku, KNIME
Responsibilities
Design AI application architectures using RAG and orchestration patterns; lead technical workstreams and guide implementation from discovery to production; translate ambiguous business requirements into structured solution designs; contribute hands-on to prototypes and production implementations; support sales with technical discovery and proposal development; mentor team members and share best practices
Seniority
Senior, hands-on IC with client leadership
