Responsibilities

• Analyze end-to-end marketing workflows, business processes, and cross-functional data flows to identify automation and AI enablement opportunities.
• Map current-state marketing operations, uncover bottlenecks, and design scalable AI-enabled business solutions.
• Partner with AI/ML Engineering, Data Engineering, Enterprise Architecture, IT, and business stakeholders to align AI initiatives with enterprise standards.
• Translate marketing business requirements into solution architecture, ensuring seamless integration with enterprise AI platforms.
• Drive the integration of AI agents, Generative AI tools, and third-party AI platforms into the organization's MarTech ecosystem.
• Review solution architectures, data flow diagrams, interface specifications, and technical designs to ensure scalability, governance, and enterprise alignment.
• Collaborate with Data Engineering teams to define efficient data pipelines, API requirements, and integration patterns supporting AI-powered marketing workflows.
• Define infrastructure requirements for AI services, including model hosting, orchestration, vector databases, storage, monitoring, and observability.
• Establish performance expectations for AI services, including scalability, availability, resilience, throughput, and latency.
• Lead technical evaluations of AI vendors and platforms, providing recommendations on build-versus-buy decisions.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field (Master's degree preferred), or equivalent experience.
• Solid, senior-level experience in Solution Architecture, Enterprise Architecture, Business Architecture, or related technical consulting roles.
• Strong understanding of enterprise marketing operations, MarTech ecosystems, and business process optimization.
• Experience designing enterprise-scale AI, automation, or digital transformation solutions.
• Solid knowledge of modern AI technologies, including Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), recommendation engines, AI agents, and workflow orchestration.
• Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform.
• Strong understanding of APIs, system integrations, enterprise application architecture, and data management principles.
• Knowledge of enterprise security, privacy, governance, compliance, and AI risk management practices.
• Proven ability to translate business requirements into scalable technical solutions.
• Excellent communication and stakeholder management skills, with experience working across business and technical teams.

Preferred

• Experience implementing AI solutions within Marketing, Customer Experience, or Digital Transformation initiatives.
• Familiarity with enterprise architecture frameworks such as TOGAF.
• Experience working with vector databases, AI observability platforms, or model management solutions.
• Cloud certifications (Azure, AWS, or GCP).
• AI-related certifications or enterprise architecture certifications.

Benefits

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement
• Well-being program
• Team events & local benefits
• Sports compensation
• Referral bonuses
• Top-tier equipment provision