Applied Methods
~The MetaSales & GTMApplied AI Architect

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.

$ titles --canonical
Applied AI ArchitectApplied AI Engineer, EnterpriseApplied AI Architect, StartupsApplied AI ConsultantApplied AI Security ArchitectAI Engineer, Agent Enablement
Open Jobs72
Companies Hiring9
$02

Skills

What companies are looking for in this role.

$ skills --core

Translating customer business or mission priorities into focused use-case portfolios and actionable adoption roadmaps

95%

Serving as primary technical advisor and long-term technical relationship owner for named customer portfolios

95%

Leading technical discovery and qualification of high-value AI use cases tied to measurable business or mission outcomes

90%

Designing and architecting end-to-end AI solutions spanning models, applications, data integration, and deployment patterns

90%

Coordinating across internal teams including deployment, implementation, enablement, security, product, and partners to execute customer outcomes

85%

Owning technical account plans and roadmaps through multiple quarters from discovery through deployment and expansion

85%

Building and evaluating agentic AI workflows and agent system architectures

85%

Developing and running technical evaluations to measure AI model performance and fitness for purpose

85%

Demonstrating and articulating capabilities of frontier large language models to technical and executive audiences

80%

Applying deep domain expertise in assigned customer or vertical segments such as education, cybersecurity, public sector, or life sciences

75%

Designing secure prototypes and reference architectures using AI models and integrations with customer infrastructure

75%

Writing and debugging code to build working solutions and prototypes alongside customers

70%
$ skills --emerging

Maintaining understanding of responsible AI principles, safety standards, and ethical deployment considerations

60%

Designing AI solutions that account for data privacy, security, and compliance requirements in regulated environments

55%

Embedding with customer teams to understand workflows end-to-end and build solutions integrated into operational processes

45%

Developing domain-specific evaluation frameworks and benchmarks for AI model performance in specialized contexts

45%

Prototyping and building ecosystem-level tooling and reusable components to extend AI system capabilities

45%
$ skills --soft

Communicating fluidly between executive strategy conversations and hands-on technical implementation discussions

90%

Partnering with account directors on commercial strategy while owning the technical strategy and customer journey

85%

Building technical credibility and trust with founders, engineers, operators, and executive stakeholders

85%

Creating and delivering compelling technical content tailored to diverse audiences from engineers to C-level executives

85%

Designing and delivering hands-on technical workshops and enablement sessions to build customer product fluency

65%

Gathering customer insights and feedback to inform product development and identify emerging use cases

65%

Navigating complex organizational stakeholder networks and shared governance models within enterprise customers

55%
$03

Technology

The tools and technologies that define this role.

$ tech --language
Pythonhigh
$ tech --framework
LangChainhigh
LangGraphmoderate
MCP serverslow
$ tech --platform
Claudevery high
Claude APIvery high
OpenAI APIhigh
$ tech --tool
ChatGPT Enterprisehigh
ChatGPT Edumoderate
Claude for Enterprisemoderate
Claude for Workmoderate
Codexmoderate
LangSmithmoderate
Claude Codelow
$ tech --concept
Deep Agentslow
$04

Open Jobs

72 open Applied AI Architect jobs across 9 companies.

OpenAI3d
Applied AI Architect, Education
London, UK·Sales & GTM
OpenAI3d
Applied AI Engineer, Cyber, Government
Washington, DC·Sales & GTM
OpenAI4d
Applied AI Architect, Government
Washington, DC·Sales & GTM
OpenAI5d
Applied AI Architect
Singapore·Sales & GTM
Anthropic1w
Applied AI Architect, Industries
Milan, Italy·Sales & GTM
Anthropic1w
Applied AI Architect
Madrid, Spain·Sales & GTM
Anthropic1w
Applied AI Architect, Digital Natives Business
London, UK·Sales & GTM
Anthropic1w
Applied AI Architect, Startups
San Francisco, CA | New York City, NY·Sales & GTM
Anthropic1w
Applied AI Architect, Strategic Enterprise Tech
San Francisco, CA | New York City, NY | Seattle, WA·Sales & GTM
LangChain1w
AI Engineer, Enablement
New York, NY·Sales & GTM
Anthropic1w
Applied AI Engineer, Beneficial Deployments (Life Sciences)
San Francisco, CA | New York City, NY·Sales & GTM
OpenAI2w
Applied AI Architect - EDU
San Francisco·Sales & GTM
Anthropic2w
Applied AI Engineer, Enterprise
Paris, France·Sales & GTM
Anthropic2w
Applied AI Architect
Seoul, South Korea·Sales & GTM
Anthropic2w
Applied AI Engineer, Enterprise
Munich, Germany·Sales & GTM
Anthropic2w
Applied AI Architect, Industries
London, UK·Sales & GTM
Anthropic2w
Applied AI Architect
Bangalore, India·Sales & GTM
Anthropic2w
Applied AI Architect, Partnerships
Bangalore, India·Sales & GTM
Anthropic2w
Applied AI Engineer
Tokyo, Japan·Sales & GTM
Anthropic2w
Applied AI Architect, Public Sector (National Security)
Washington, DC·Sales & GTM