Applied AI Architect (Perplexity Computer)
Posted Updated
- Perplexity Computer is a new class of AI system that navigates tools, interacts with applications, and completes multi-step workflows end to end
- Our customers are using Computer to transform work that traditional software has not been able to address
- Applied AI Architects work directly with customers across presales, onboarding, adoption, and strategic engagements
- You will uncover the real business problem, determine what Computer can credibly support, design and configure the workflow, and lead the engagement to a clear outcome
- This is a hands-on, customer-facing role at the intersection of solutions architecture, technical consulting, and program delivery
- You will work closely with Sales and Customer Success while serving as a quality filter for requests that require Product or Engineering
- Lead technical discovery. Work with customer business leaders, technical teams, account executives, and customer success managers to understand the users, current workflow, desired outcome, constraints, and decision-makers
- Design credible solutions. Map how people, data, tools, approvals, permissions, and decisions interact, then determine how Computer can support the workflow
- Support complex opportunities. Partner with account executives on technical deal strategy, demos, proofs of value, architecture and security coordination, and engagement scoping
- Drive value-backed consumption. Identify high-value, repeatable workflows; define the expected business outcomes and usage patterns; and partner with Sales and Customer Success to move customers from technical validation to sustained production use and expansion
- Build hands-on. Configure, prototype, test, and iterate on Computer skills and workflows, including connectors, permissions, and adjacent tooling
- Accelerate onboarding and adoption. Provide second-level technical consultation to customer success managers and deliver bounded technical work when customer needs exceed standard Customer Success coverage
- Run strategic engagements. Establish scope, customer commitments, milestones, success criteria, working cadence, and exit criteria, then lead the work through closure
- Improve technical escalation. Validate product and engineering needs and produce decision-ready requests with clear evidence, constraints, impact, and acceptance criteria
- Turn every engagement into leverage. Convert repeated customer needs into reusable workflows, implementation patterns, demos, guidance, and product feedback
- The strongest Applied AI Architects combine technical depth, consultative problem solving, and disciplined engagement delivery
- You should be comfortable working hands-on with the product, advising customer executives, and managing the details required to deliver a successful outcome
- Executive-credible communication. You can explain technical trade-offs to senior decision-makers while working effectively with practitioners and engineers
- Commercial and consumption awareness. You can connect solution design and technical decisions to time to value, usage, credit consumption, customer economics, and expansion potential
- Proven consultative discovery skills. You can turn an ambiguous request into a clear business problem, technical approach, and delivery plan
- AI-native working style. You use frontier models and AI tools regularly and have developed strong intuition for what current systems can and cannot do reliably
- Strong solution judgment. You can distinguish education, configuration, implementation, support, product, and engineering problems and recommend the right path
- Experience delivering complex implementations. You have managed scope, stakeholders, milestones, risk, expectations, and closure
- High agency in ambiguity. You can establish direction without waiting for perfect requirements, challenge weak assumptions, and make thoughtful decisions quickly
- 5+ years in a customer-facing technical role such as solutions architecture, senior sales engineering, AI implementation, forward deployed work, technical consulting, or technical program leadership
- Hands-on technical fluency. You are comfortable with APIs, integrations, authentication, identity, permissions, connectors, data flows, and technical troubleshooting
- Prior forward deployed engineering, Applied AI, deployment strategist, solutions architecture, or technical consulting experience at an AI or enterprise software company
- A track record of turning customer implementations into reusable technical assets or product improvements
- Experience in regulated or workflow-intensive industries such as legal, financial services, healthcare, or technology
- Experience with Computer, MCP, enterprise identity, security, permissions, or workflow orchestration
- Experience deploying agents or multi-step LLM workflows in complex enterprise environments