Chief Client Architect

Salary: £53,000 - 93,000 per year

Requirements:

• Bachelors degree in Computer Science, Software Engineering, or a related field, or equivalent experience
• 20+ years of technology transformation consulting experience, including integration, middleware, or API management platforms
• 15+ years in an Enterprise Architect, Digital Architect, or similar senior architecture role
• Demonstrated experience advising C-level executives on technology strategy and enterprise transformation
• Strong understanding of enterprise security, governance, and operating models
• Proven track record of driving platform expansion and value realization through professional services
• Excellent executive communication skills, including board-level presentations and strategic documentation
• Ability to operate independently in complex, ambiguous environments and take ownership of outcomes
• Ability to travel to the client site up to 50%, with travel requirements varying based on circumstances
• Masters degree in Computer Science, Software Engineering, Business, or a related field is preferred
• Knowledge of key applications such as Salesforce, Netsuite, Workday, ServiceNow, SAP, EBusiness Suite, and databases is preferred
• Knowledge of AWS, Azure, and GCP is preferred
• Experience working in a start-up environment is preferred

Responsibilities:

• Serve as the primary executive technical advisor to customer CIOs, CTOs, and senior business stakeholders
• Own the long-term customer architecture and automation strategy, aligned to business priorities and enterprise standards
• Lead executive-level discussions on platform adoption, operating models, governance maturity, and technology investment decisions
• Act as the single point of accountability for post-sales technical strategy and architectural decisions for flagship accounts
• Shape and guide customers AI and agentic automation journeys, leveraging our AI capabilities and ecosystem
• Advise on the design and adoption of agent-based workflows, human-in-the-loop models, and decision automation
• Partner with customer executives to define enterprise MCP strategies, including context management across applications, data, and workflows, secure orchestration of AI agents and automations, and governance, observability, and lifecycle management for AI-driven systems
• Align AI and agentic initiatives with enterprise security, compliance, and risk requirements
• Translate emerging AI capabilities into practical, scalable enterprise use cases that drive measurable business outcomes
• Drive software expansion, adoption depth, and renewal confidence through strategic advisory and roadmap alignment
• Identify and shape multi-year expansion opportunities tied to automation, integration, and AI-driven transformation
• Partner with Account Executives and Customer Success leadership on account strategy, risk mitigation, and executive alignment
• Track, articulate, and executive-report value realization outcomes linked to our platform adoption
• Lead high-impact professional services engagements requiring executive-level judgment and architectural depth
• Apply and evolve our advisory methodologies, including GEARS and Embedded Product Guide, across customer environments
• Guide customers through enterprise automation and integration target-state definition, prioritization of integration, automation, and AI use cases, advanced prototyping and accelerator-led delivery, and recipe and agent lifecycle management best practices
• Advise on enterprise operating models that enable scalable automation and AI adoption
• Define and enforce architecture principles, standards, and guardrails across customer implementations
• Act as escalation authority for non-standard architectures, AI design exceptions, and complex trade-offs
• Guide customers on governance models covering integration, automation, and AI agents
• Ensure solutions are scalable, secure, and aligned with long-term enterprise architecture objectives
• Contribute to the evolution of our architecture frameworks, AI patterns, and best practices
• Create reusable executive-level assets such as reference architectures, strategy decks, and white papers
• Serve as our evangelist, articulating platform value across automation, integration, and AI
• Mentor and enable Strategic Advisors, Technical Architects, and extended post-sales teams
• Support partner enablement and delivery excellence across our ecosystem

Technologies:

• AI
• AI Agents
• API
• AWS
• Architect
• Azure
• Cloud
• Embedded
• GCP
• Support
• MCP
• SAP
• Salesforce
• Security
• ServiceNow
• Atlassian
• Cisco

More:

Workato is the leading Control and Execution Platform for Enterprise AI, trusted by enterprises to put AI to work across their business. We unify data, applications, and processes into a single platform so AI can orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half of the Fortune 500, we support more than 14,000 enterprise systems. We offer a flexible, trust-oriented culture that empowers ownership, along with a vibrant and dynamic work environment and benefits that support employees inside and outside of work. We are recognized by Business Insider, Forbes Cloud 100, Deloitte Tech Fast 500, and Quartz as a top remote-work company.

last updated 36 week of 2026