About the Role
Role details below.
Responsibilities
- 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.
Requirements
- 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.
Nice to Have
- Advanced degrees or certifications in AI/architecture frameworks (e.g., TOGAF, SAFe).