Adobe Enterprise Architect

Savantis Solutions India; Hyderabad, Bengaluru, Delhi; On-site; INR 900,000 - 1,800,000; Full time

Job summary

Savantis Solutions India is seeking a Senior Enterprise Architect to lead the enterprise-wide digital experience, data, and AI strategy. You will partner with executives to set roadmaps, craft technology vision, and design architectures across Adobe Experience Cloud, AEP, AI/ML, and cloud platforms.

The role requires coordinating with IT, marketing, product, and data teams to ensure scalable, secure, and future-ready solutions that align with governance standards.

Qualifications

• Minimum 8+ years in enterprise architecture and cloud strategy.
• Experience with Adobe Experience Cloud and AI/ML platforms.
• Strong advisory ability to partners and C-level executives.

Responsibilities

• Define and drive enterprise-wide digital experience and AI strategy.
• Partner with executives to create transformation roadmaps and technology vision.
• Design end-to-end architectures using Adobe ECT/AEP, AI/ML, and cloud tech.
• Develop multi-year roadmaps for digital, data, AI, and cloud.

Skills

Enterprise architecture

Adobe Experience Cloud

Adobe Experience Platform

AI/ML

Cloud architectures

Microsoft Azure

AWS

API-first

Microservices

Event-driven

Serverless

Data governance

IAM / Zero-trust

Security

Data ingestion

Stakeholder management

Pre-sales

Mentoring

Education

Bachelor’s degree or higher in CS/Eng/Related

Tools

Adobe Experience Cloud

Azure

AWS

API gateways

Job description

Roles and Responsibilities

• Define and drive enterprise-wide digital experience, customer data, and AI strategy aligned with business objectives.
• Partner with executive leadership and key stakeholders to create digital transformation roadmaps and technology vision.
• Design end-to-end enterprise architectures leveraging Adobe Experience Cloud, Adobe Experience Platform (AEP), AI/ML solutions, and cloud technologies.
• Develop and maintain multi-year architecture roadmaps covering digital, data, AI, and cloud capabilities.
• Translate business requirements into scalable, secure, and future-ready technical solutions.
• Design customer data platforms, identity management, customer profiles, and data governance frameworks.
• Define data ingestion, integration, quality, governance, activation, and personalization architectures.
• Architect AI-enabled customer experiences including LLMs, Generative AI, RAG frameworks, prompt engineering, and model evaluation strategies.
• Recommend and implement cloud-native architectures using API-first, microservices, event-driven, and serverless patterns.
• Design and govern solutions across public cloud platforms such as Microsoft Azure and AWS.
• Establish architecture standards, reference architecture, design patterns, and best practices.
• Ensure alignment of business strategy, enterprise architecture, and delivery execution across marketing, product, data, and IT teams.
• Drive architecture governance through review boards, decision forums, and compliance frameworks.
• Lead workshops, discovery sessions, architecture assessments, and solution design engagements.
• Provide strategic guidance on personalization, customer journey orchestration, next-best-action, and marketing optimization initiatives.
• Evaluate architecture options, risks, dependencies, and trade-offs, providing recommendations to senior leadership.
• Act as a trusted advisor to clients on digital, data, AI, and cloud transformation programs.
• Collaborate with software engineers, data architects, developers, data scientists, and business stakeholders to deliver integrated solutions.
• Define security, zero-trust, identity and access management (IAM), observability, and reliability standards.
• Support pre-sales activities including solutioning, effort estimation, proposals, and executive presentations.
• Create reusable assets such as architecture templates, accelerators, reference architectures, and best-practice frameworks.
• Mentor architects and consultants on enterprise architecture, AI, cloud, and Adobe Experience Cloud best practices.
• Drive adoption and value realization of Adobe solutions by tracking KPIs, business outcomes, and customer success metrics.
• Manage stakeholder communication and present architecture vision, roadmap, and business value to C-level executives.
• Coordinate with Adobe teams, client IT teams, business owners, analytics teams, and external partners throughout the engagement lifecycle.
• Ensure solutions are scalable, resilient, secure, cost-effective, and aligned with enterprise governance standards.

Stay updated on emerging technologies, AI trends, cloud innovations, and Adobe Experience Cloud capabilities to continuously improve architecture strategies.