Integrations Pre-Sales Architect

ABOUT THE ROLE

In this role you will help clients design modern integration architectures across cloud, SaaS, on-premise, API, data, and AI-driven ecosystems. They will also support sales teams by shaping proposals, leading technical discovery sessions, preparing solution demonstrations, and communicating business value to stakeholders.

RESPONSIBILITIES

• Design scalable, secure, and maintainable integration architectures across enterprise systems, cloud platforms, SaaS applications, APIs, data platforms, and legacy environments
• Assess existing client landscapes and recommend modernization strategies for integration platforms, middleware, APIs, and data flows.
• Collaborate with enterprise architects, solution architects, developers, product teams, and business stakeholders to align integration solutions with business goals and technology strategy
• Lead technical discovery workshops to understand client business needs, system landscapes, pain points, and transformation goals.
• Translate client requirements into high-level solution designs, architecture diagrams, estimates, implementation approaches, and value propositions
• Support RFP/RFI responses, proposals, statements of work, presentations, and technical sales materials
• Identify opportunities to apply AI, generative AI, machine learning, intelligent automation, and AI-assisted integration capabilities within client solutions
• Design architectures that integrate AI services, enterprise data, APIs, workflow automation, and business applications.
• Advise clients on responsible AI considerations, including security, governance, data privacy, compliance, model risk, and operational readiness
• Stay current with AI trends, integration platform capabilities, cloud AI services, and emerging enterprise automation patterns

REQUIREMENTS

• 7+ years of experience in integration architecture, solution architecture, enterprise architecture, or technical consulting
• Strong knowledge of integration platforms and patterns such as APIs, REST, SOAP, GraphQL, messaging, event streaming, ESB, iPaaS, microservices, ETL/ELT, and data integration
• Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform
• Experience with integration or middleware platforms such as MuleSoft, Boomi, Azure Integration Services, Apache Kafka, Confluent, TIBCO, IBM Integration Bus, SAP Integration Suite, Workato, or similar technologies
• Strong understanding of enterprise systems such as ERP, CRM, data warehouses, SaaS platforms, identity systems, and legacy applications
• Experience designing AI-enabled integration, automation, or data solutions
• Experience with cloud AI services such as Azure OpenAI, Amazon Bedrock, Google Vertex AI, OpenAI API, or similar platforms
• Experience in consulting, system integration, or professional services environments