AI Enterprise Architect
New
G
GongRevenue intelligence
Location: Remote (US)Full-TimeSenior
SalaryThe annual OTE for this position is $174,000 - $250,000 USD.
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Job Details
- Experience
- 5+ years of experience in enterprise architecture, solution architecture, sales engineering, consulting, AI strategy, or a comparable customer-facing technical leadership role.
- Required Skills
- SalesforceRESTful APIsLLMGenerative AI
Requirements
- Have 5+ years of experience in enterprise architecture, solution architecture, sales engineering, consulting, AI strategy, or comparable customer-facing technical leadership.
- Have experience working with large, complex enterprises and engaging CIOs, CTOs, Chief AI Officers, enterprise architects, security leaders, data leaders, and executive stakeholders.
- Demonstrate expertise in generative AI, large language models, AI agents, MCP, APIs, integrations, data flows, vibe coding, and enterprise software architecture.
- Have practical familiarity with AI platforms and ecosystems such as OpenAI, Anthropic Claude, Gemini, Google Vertex, Salesforce, and Microsoft.
- Have experience discussing AI governance, responsible AI, data privacy, identity and access management, security, compliance, observability, auditability, and enterprise deployment.
- Be able to lead architecture workshops and translate ambiguous business needs into executable technical designs.
- Have experience advancing complex enterprise opportunities through technical discovery, security reviews, RFPs, pilots, and proofs of concept.
- Demonstrate executive communication, influence, and storytelling skills across C-suite conversations and detailed technical design.
- Be able to translate AI capabilities into practical, measurable outcomes for revenue organizations.
- Have strong collaboration skills and experience enabling and scaling a broader technical field organization.
Responsibilities
- Partner with Account Executives and Solutions Engineers on strategic enterprise opportunities involving AI architecture, governance, integrations, and complex technical requirements.
- Lead executive discovery, AI strategy discussions, architecture assessments, and technical design workshops.
- Assess customers’ AI ambitions, business objectives, technology stacks, data environments, security requirements, governance models, and integration landscapes.
- Architect how Gong capabilities, APIs, MCP, integrations, and workflow automation fit into customer AI ecosystems.
- Advise customers on practical AI use cases, responsible adoption, and effective credit usage.
- Assess requirements for data governance, identity and access management, agent permissions, auditability, human-in-the-loop controls, and AI risk.
- Develop AI value hypotheses, technical validation plans, reference architectures, integration patterns, roadmaps, and implementation recommendations.
- Lead technical support for complex pursuits, including executive presentations, security and architecture reviews, RFPs, proofs of concept, and technical win plans.
- Develop reusable field assets and enable Solutions Engineers and account teams on enterprise AI conversations and solution design.
- Bring market feedback to Product and Engineering and contribute expertise on competing AI offerings.
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