• Work closely with customers and internal teams to understand, scope, and build customized software solutions for Okendo’s e-commerce merchants. • Become a highly knowledgeable product and integration expert and work directly as an engineer to build and deliver technical solutions. • Support the sales and expansion teams by providing technical product expertise (API, Onboarding, security, customer data). • Support the success team as the technical SME by answering questions and designing solutions regarding custom functionality, custom reporting, data migration, enterprise plan development, and escalated support tickets. • Collaborate with tech and agency partners to evaluate, scope, and develop custom functionality for 3rd-party tech integrations. • Develop and maintain an in-depth understanding of Okendo’s products, code base, and integrations through internal training and independent research. • Partner with prospects and customers to gather technical requirements in order to recommend solutions that address their needs. • Build relationships with key customer stakeholders by serving as a technical liaison from pre-sales to post-sales. • Collaborate with the Product and Engineering teams, communicating customer feedback, product bugs, and gaps, and building custom solutions for strategic accounts.

• Solution Leadership: Lead the end-to-end architectural design and technical strategy for complex open-source AI solutions, from initial concept to deployment and optimization. • Client Engagement: Act as a primary technical point of contact for clients, understanding their business challenges, identifying opportunities for AI innovation, and effectively communicating technical concepts to both technical and non-technical stakeholders. • Technical Advisory: Provide expert guidance and recommendations on open-source AI frameworks, libraries, tools, and platforms (e.g., PyTorch, JAX, Kubeflow, Ray, MCP and relevant open-source LLMs etc). • Architecture Definition: Develop comprehensive architectural blueprints, including data pipelines, model training and deployment strategies, MLOps practices, security considerations, and integration patterns. • Pre-Sales Support: Collaborate with the sales and business development teams to articulate OpenTeams' capabilities, present technical solutions, and contribute to proposals and statements of work. • Thought Leadership: Stay abreast of the latest advancements in open-source AI, contribute to technical blogs, whitepapers, and presentations, and represent OpenTeams at industry conferences and events. • Community Engagement: Actively participate in and contribute to relevant open-source projects and communities surrounding AI & ML. • Risk Management: Identify and mitigate technical risks throughout the project lifecycle.

• Design and implement customer-facing prototypes and lighthouse implementations to validate high-value AI and integration use cases. • Lead strategic workshops and technical deep dives with customers and field teams, especially for agentic AI workflows and complex integrations. • Turn validated customer work into reusable assets: reference architectures, blueprints, accelerators, and repeatable patterns. • Serve as the deep technical owner for agentic system design, including tool use, orchestration, and multi-agent patterns. • Design and maintain complex integration architectures across enterprise platforms and data systems. • Ground GTM positioning and storytelling in validated technical proof points, supporting high-impact moments like executive demos and analyst briefings.

• The Manager, Solutions Architecture, is responsible with managing and growing a high-performing team of AI software engineers on the NA AI Services Delivery team. • This team will include a blend of AI Engineers, Software Developers, and ML/LLM specialists. • You will own and drive the successful delivery of AI software engineering initiatives within defined scope, timeline, and budget. • This role has you leading and guiding employees, customers and partners to design, build and implement innovative Conversational AI solutions. • The Manager will oversee and coordinate all aspects of AI software engineering management responsibilities internally and externally with client teams. • You will be accountable for ensuring that AI software solutions are delivered on time, within budget, and in accordance with defined scope and quality standards. • The primary objective of the Manager is to successfully execute with team members on all assigned AI delivery projects, achieving goals against the Statement of Work (SOW) and meeting the expectations of stakeholders by delivering through Agile/Waterfall project methodology in partnership with the PMO team.