Vice President Group Director, Solutions Architect - AI Systems and Experience Engineering

• Partner with Digital Product Managers to translate business problems into feasible delivery approaches; co-lead solution concepting and define the path from concept to production.
• Design end-to-end architectures combining AI agents, integrations, APIs, data, automation, and custom application components aligned to approved platform patterns.
• Guide architecture of agentic workflows that use structured data and unstructured content.
• Identify reusable patterns and convert them into platform features, enablement materials, and reference architectures.
• Define non-functional requirements including scalability, performance, reliability, security, auditability, and maintainability.
• Contribute to assessing marketing and advertising workflows to identify high-impact opportunities across content operations, campaign execution, analytics, personalization, and measurement.
• Lead client sessions to understand business objectives and existing systems to define an appropriate solution approach.
• Document client technology stacks, dependencies, data flows, and constraints; translate findings into architecture options and integration strategies.
• Collaborate with architects and engineers to integrate with MarTech ecosystems such as CDP/CRM, CMS, tag management, ad platforms, and analytics stacks.
• Conduct technology audits and vendor analyses; recommend build-vs-buy paths based on fit, cost, risk, APIs, service constraints, and delivery impact.
• Ensure discovery outputs translate into clear technical options, constraints, and architecture decisions.
• Provide architecture governance across the SDLC, including reviews and risk management, ensuring implementation aligns to approved solutions and platform patterns.
• Provide scoping inputs: assumptions, dependencies, risks, sequencing, staffing, and level-of-effort.
• Serve as a senior client-facing technical lead: co-facilitate discovery with Digital Product Managers, lead technical working sessions, deliver architecture playbacks and demos, and communicate tradeoffs clearly.
• Explain complex architecture, risks, and tradeoffs for executives, marketers, and engineers.
• Build trusted relationships with senior client technology stakeholders and facilitate decisions when business, product, and engineering priorities conflict.
• Maintain a clear through-line from proposal to design to delivery.
• Stay current on generative AI, agentic patterns, evaluation approaches, and emerging standards; identify opportunities to improve platform capabilities and delivery methods.
• Apply responsible AI principles, including privacy, data handling, consent, access controls, governance, auditability, and model limitation awareness.
• Define practical AI evaluation approaches for quality, bias, reliability, monitoring, and drift.
• Maintain strong organization, time management, and risk mitigation across distributed teams.

Required

• We’re looking for strong, impactful work experience, which typically includes
• 10+ years in solution engineering, solution architecture, technology consulting, product engineering, or related roles delivering complex digital initiatives.
• 4+ years in a digital agency, professional services, or consulting environment.
• Ability to assess business goals, user needs, constraints, and systems to define solution approaches.
• Ability to translate business and technical requirements into clear architectures and recommendations.
• Hands-on expertise designing, deploying, and optimizing generative AI solutions, including prompt engineering and evaluation.
• Strong API and integration knowledge, with ability to partner across platforms, infrastructure, and QA teams.
• Track record leading cross-functional agile teams and shipping production work.
• Executive communication, presentation, and client engagement skills.
• Comfort as an IC / player-coach: hands-on when needed, guiding through influence.
• Strong technical documentation skills, including architecture diagrams, integration patterns, and strategy.

Preferred

• Experience implementing solutions in and around MarTech and advertising technology ecosystems.
• Experience building reusable internal platform capabilities used across multiple client teams.
• Experience evaluating AI vendors/APIs/models on capability, cost, service levels, integration requirements, and platform fit.
• 2026-177029

• Medical Coverage
• Dental Coverage
• Vision Coverage
• Disability Insurance
• 401(k)
• Parental and Family Care Leave
• Family-Forming Assistance
• Tuition Reimbursement
• Flexible Time Off
• Paid Time Off