Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
Our client is a global enterprise investing heavily in AI-driven marketing transformation. They are modernizing their MarTech ecosystem by embedding Generative AI and intelligent automation into core marketing operations, enabling scalable, secure, and data-driven customer engagement across the organization.
What You’ll Do
- 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.
What You Bring
- 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 have
- 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.
English level
Upper-Intermediate
Legal & Hiring Information
- Compensation Transparency: The expected compensation range for this role is $125-145 USD hr. Actual compensation will be determined based on experience, skills, qualifications, geographic location, and business needs.
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more.
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions.
- Privacy Notice: Applicant data will be collected and processed in accordance with applicable state privacy laws, including the California Consumer Privacy Act (CCPA) where applicable.
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs.
- The offer is not binding until a signed contract is in place.
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- 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
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
