Customer Solutions Architect (Ai Platform)

• Own Customer Context: Deeply understand customer business domains, systems, and OKRs/KPIs to guide solution design
• Architect AI Transformation: Design and document AI-driven workflows, agents, skills, and system integrations that align with customer goals and industry best practices
• Be a Trusted Advisor: Build strong partnerships with customer stakeholders as their technical counterpart, delivering confidence in our platform's capabilities
• Translate & Coordinate: Bridge the gap between pre-sales/CS and engineering, ensuring requirements are actionable and outcomes measurable
• Design Reusability: Architect modular, scalable solutions that can be extended across customers and verticals
• Drive Delivery: Collaborate with Applied AI engineers to oversee solution implementation, ensuring architectural alignment and execution excellence
• Support Pre-Sales: Partner with sales engineers and customer teams to scope new opportunities, define technical requirements, and provide input on feasibility and effort
• Lead Innovation: Stay ahead of emerging trends in AI, software integration, and business transformation—and bring that insight to our solution designs
• Maintain Quality & Compliance: Ensure all solutions meet performance, security, and compliance standards
• Travel Ready: Willingness to travel up to 50% for on-site discovery, deployment, and customer engagement

• 7+ years in solution architecture or consulting roles, focused on enterprise-scale, customer-facing software implementations
• Hands-on experience with generative AI tools, cloud platforms (AWS, GCP, or Azure), and modern integration patterns (APIs, webhooks, pipelines)
• Strong understanding of customer priorities, with the ability to translate business needs into technical execution plans
• A problem-solver with a growth mindset, skilled in crafting scalable and future-proof architectures
• Exceptional ability to convey complex technical and business concepts to diverse stakeholders, both technical and non-technical
• Proficiency with project planning tools and methodologies
• capable of managing multiple solution tracks and timelines
• Proven ability to define and track success through OKRs, KPIs, and tangible business outcomes
• Background in SaaS or enterprise platforms, with understanding of extensibility and multi-tenant design principles
• Bachelor's degree in Computer Science, Engineering, or related discipline

Advanced degrees or certifications in AI/architecture frameworks (e.g., TOGAF, SAFe)