Applied AI Architect
Applied AI Architects serve as the senior technical owner for a customer portfolio, acting as the "CTO of their book of business" and guiding organizations from pre-sales discovery through deployment and adoption of LLM-powered solutions. They translate business or mission priorities into focused use-case portfolios and actionable adoption roadmaps, balancing hands-on prototyping and architecture design with executive-level strategy conversations. What sets this role apart is its accountability for both technical outcomes and customer success across a named set of accounts, sitting in the GTM organization rather than the product team, and the ability to orchestrate specialists across deployment, enablement, security, and product while maintaining the primary technical relationship with leadership.
Skills
What companies are looking for in this role.
Translating customer business or mission priorities into focused use-case portfolios and actionable adoption roadmaps
Serving as primary technical advisor and long-term technical relationship owner for named customer portfolios
Leading technical discovery and qualification of high-value AI use cases tied to measurable business or mission outcomes
Designing and architecting end-to-end AI solutions spanning models, applications, data integration, and deployment patterns
Coordinating across internal teams including deployment, implementation, enablement, security, product, and partners to execute customer outcomes
Owning technical account plans and roadmaps through multiple quarters from discovery through deployment and expansion
Building and evaluating agentic AI workflows and agent system architectures
Developing and running technical evaluations to measure AI model performance and fitness for purpose
Demonstrating and articulating capabilities of frontier large language models to technical and executive audiences
Applying deep domain expertise in assigned customer or vertical segments such as education, cybersecurity, public sector, or life sciences
Designing secure prototypes and reference architectures using AI models and integrations with customer infrastructure
Writing and debugging code to build working solutions and prototypes alongside customers
Maintaining understanding of responsible AI principles, safety standards, and ethical deployment considerations
Designing AI solutions that account for data privacy, security, and compliance requirements in regulated environments
Embedding with customer teams to understand workflows end-to-end and build solutions integrated into operational processes
Developing domain-specific evaluation frameworks and benchmarks for AI model performance in specialized contexts
Prototyping and building ecosystem-level tooling and reusable components to extend AI system capabilities
Communicating fluidly between executive strategy conversations and hands-on technical implementation discussions
Partnering with account directors on commercial strategy while owning the technical strategy and customer journey
Building technical credibility and trust with founders, engineers, operators, and executive stakeholders
Creating and delivering compelling technical content tailored to diverse audiences from engineers to C-level executives
Designing and delivering hands-on technical workshops and enablement sessions to build customer product fluency
Gathering customer insights and feedback to inform product development and identify emerging use cases
Navigating complex organizational stakeholder networks and shared governance models within enterprise customers
Technology
The tools and technologies that define this role.
Open Jobs
72 open Applied AI Architect jobs across 9 companies.
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