AI Forward Deployed Engineer

Stagwell is a global challenger network built to transform marketing through technology, creativity, data, and artificial intelligence.

Enterprise AI Solutions is a strategic growth initiative focused on helping organizations deploy and operationalize AI-powered solutions across marketing, customer experience, data, analytics, and business operations.

As organizations move from AI experimentation to enterprise-wide adoption, Stagwell helps customers integrate data, technology, workflows, and AI capabilities into scalable operating models that deliver measurable business impact.

Responsibilities We are seeking a highly technical, customer-facing AI Forward Deployed Engineer to work directly with organizations as they deploy and scale AI-powered solutions.

The AI Forward Deployed Engineer serves as a forward-deployed partner to enterprise customers, working directly with stakeholders to understand business challenges, design practical AI solutions, drive implementation, and ensure successful operational adoption.

The ideal candidate combines technical expertise, solution architecture skills, business acumen, and a builder mentality. They enjoy solving complex problems, navigating ambiguity, and working directly with customers to turn AI concepts into deployed solutions that drive measurable outcomes.

Success in this role requires a strong sense of ownership and a willingness to move beyond recommendations into execution. This is a highly hands-on individual contributor role that works closely with enterprise customers, internal sales teams, product teams, and delivery teams to help customers become successful with AI. The initial focus of this role will be supporting Stagwell’s enterprise AI application suite, including Stagwell Agentic Targeting System (SATS) Powered by Palantir and Stagwell Pulse Powered by Palantir, working closely with customers to drive successful deployment, adoption, and business outcomes.

Partner With Customers and Sales Teams

• Work directly with enterprise customers to understand business objectives, operational challenges, data environments, and AI transformation priorities.
• Partner closely with sales teams throughout the customer lifecycle, from discovery and demos through deployment and adoption.
• Support customer meetings, technical discovery sessions, solution workshops, and executive presentations.
• Help sales teams tell the AI story through customer-specific scenarios, demonstrations, and solution positioning.
• Serve as a trusted advisor to both customer stakeholders and internal go-to-market teams.
• Support customer onboarding, adoption efforts, and ongoing technical success initiatives.

Design & Deploy AI Solutions

• Architect practical AI-powered solutions that address real business challenges.
• Translate customer requirements into deployable solution designs.
• Build customer-specific use cases, workflows, and AI-powered business scenarios.
• Develop and validate proof-of-concepts, pilot programs, and production-ready solutions.
• Configure, optimize, and operationalize AI solutions within customer environments.
• Partner with technical teams to accelerate implementation and adoption.
• Help customers establish repeatable AI-enabled workflows and operating models.

Lead Enterprise AI Deployments

• Own implementation efforts from discovery through deployment.
• Facilitate technical workshops, solution working sessions, and implementation planning.
• Support customer onboarding, technical validation, testing, and rollout activities.
• Navigate technical, operational, and organizational obstacles to ensure successful execution.
• Drive cross-functional alignment between business stakeholders, technical teams, and implementation partners.
• Ensure successful transition from pilot programs to production deployments.

Work With Customer Data and Business Processes

• Translate customer business requirements into data models, workflows, and AI-enabled use cases.
• Help map customer processes, data flows, audience structures, and operational requirements.
• Work through customer data requests, integrations, and implementation considerations.
• Support Palantir Ontology development, workflow design, and solution mapping activities.
• Identify opportunities to improve customer workflows through AI, automation, analytics, and data-driven decision making.
• Collaborate with customer teams to operationalize solutions wi…