Software Architect (Marketing AI Workflow)

Exadel Inc (Website)

11d•$125 - $145•Hybrid

About The Position

Exadel is seeking a Software Architect specializing in Marketing AI Workflows for a global enterprise client. This role is crucial for modernizing the client's MarTech ecosystem by integrating Generative AI and intelligent automation into core marketing operations. The goal is to enable scalable, secure, and data-driven customer engagement. The architect will analyze marketing workflows, identify AI enablement opportunities, design AI-enabled solutions, and ensure alignment with enterprise standards and security requirements.

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.
Experience evaluating enterprise software vendors and conducting technical due diligence.

Nice To Haves

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.

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.
Ensure AI solutions comply with enterprise security, privacy, governance, and regulatory requirements.
Partner with Security, Legal, Compliance, and Procurement teams during solution evaluations and vendor onboarding.
Represent Marketing in enterprise architecture discussions, AI governance forums, and cross-functional planning initiatives.
Communicate complex technical concepts effectively to both technical and non-technical stakeholders.