Experience Technical Architect, Innovation & Emerging Technologies

Dentsuaegis; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

DentsuAegis is seeking an Experience Technical Architect, Innovation & Emerging Technologies to lead hands-on full-stack architecture and implementation of AI prototype solutions. You will own integration patterns, data pipelines, and agentic automation across Adobe products, delivering production-ready prototypes under tight deadlines.

The role requires deep experience across backend, frontend, and data integration, with a track record of shipping rapid proofs-of-concept and aligning technical

Qualifications

• 8+ years of software engineering or technical architecture experience.
• 3+ years developing or integrating solutions within the Adobe ecosystem.
• 3+ years designing and building API-based integrations or data pipelines.
• 2+ years building AI-enabled applications or solutions.
• Proficiency in at least 3 programming languages/frameworks (e.g., JS/TS, Python, Java, Node.js, React).
• 5+ years in agile software development (Scrum/Kanban, CI/CD).
• Experience taking rapid PoCs to production in compressed timelines.
• Experience defining technical patterns and coding standards.

Responsibilities

• Lead sprint execution and break architecture into two-week increments.
• Build integrations, data pipelines, interfaces, and agentic automation.
• Design MCP connectors for Adobe AI/agentic solutions and client systems.
• Architect third-party connector strategies for Adobe capabilities.
• Lead AI hardening and production readiness validation.
• Define data schemas, lineage, and governance for prototypes.
• Write and ship production-grade code across the stack.
• Establish coding standards and perform code reviews.
• Collaborate with architects to validate feasibility and learnings.
• Document integration approaches and known issues with stakeholders.
• Coordinate with customer teams for access to environments and testing.
• Work with QA to validate releases before shipping.

Skills

Software architecture

Full-stack development

AI integration

API integrations

Agile/Scrum

Problem solving

Tools

Adobe ecosystem

GenStudio

Firefly

AEM

AEP

Job description

Job Description:

The Experience Technical Architect, Innovation & Emerging Technologies is a hands-on, full-stack technical architect who owns the technical architecture and implementation of AI and agentic prototype solutions within Horizon's committed-build phase, bringing deep experience building rapid proofs-of-concept and shipping at speed under compressed timelines.

This role translates solution architectures into working, tested code spanning custom integrations and programming languages/frameworks, data pipelines, and agentic automation, with a track record of threading custom development into platforms across the Adobe ecosystem (i.e., AEM, GenStudio, Firefly, CX Enterprise CoWorker, Adobe Experience Platform, and adjacent Adobe products).

Balancing velocity with code quality in an agile, iterative delivery model, the Experience Technical Architect establishes and applies coding standards, drives prototypes to production readiness under compressed timelines, and maintains the patterns and documentation that make knowledge transfer possible.

Key Responsibilities

• Lead sprint execution, breaking solution architecture into testable, shippable increments across two-week sprints.
• Build custom integrations, data pipelines, custom interfaces, and agentic automation, including fine-tuned AI models, wiring GenStudio, Firefly, CX Enterprise CoWorker, AEP, and AEM into customer systems via APIs.
• Design and implement custom Model Context Protocol (MCP) connectors that enable seamless integration between Adobe's AI/agentic solutions and client enterprise systems, accelerating prototype time-to-value and reducing manual data handoffs.
• Architect third-party connector strategies and build integration patterns that extend Adobe capabilities into client data ecosystems, knowledge bases, and operational systems while maintaining data governance and security standards.
• Lead AI hardening and production readiness validation for emerging capabilities and custom builds, identifying edge cases, failure modes, and mitigation strategies before client pilot launch.
• Define data schemas, lineage, and governance frameworks that support experimental AI use cases, ensuring data quality and traceability as prototypes move from innovation labs into production pilots.
• Write and ship production-quality code hands-on across the stack (e.g., JavaScript/TypeScript, Python, Java, Node.js, React) and operate within agile build/deploy cadences, including CI/CD pipelines, feature branching, and frequent iterative releases.
• Establish coding standards, run code reviews, and work closely with other developers to align on technical patterns, quality practices, and integration best practices.
• Work with solution architects to stress-test technical feasibility and feed implementation learnings back into architecture decisions.
• Partner with the Lead Architect, Product Manager, and Innovation Strategy Lead to clearly document integration approaches, configuration decisions, and known issues, so future teams can sustain and extend the build.
• Track technical dependencies and coordinate with customer infrastructure teams to secure timely access to the staging and production environments you need to build, test, and ship.
• Partner with QA to execute test plans and validate releases before they ship.

Required Qualifications

• 8+ years of software engineering or technical architecture experience, including hands-on development across backend, front-end, and data integration technologies.
• 3+ years of hands-on experience developing or integrating solutions within the Adobe ecosystem, with experience across one or more Adobe solutions and extending platform capabilities through APIs and custom development.
• 3+ years of experience designing and building API-based integrations, data pipelines, or event-driven architectures connecting enterprise platforms and customer-experience applications.
• 2+ years of hands-on experience building AI-enabled applications or solutions, including experience with AI-assisted coding, prompt engineering, agent/LLM configurations, fine-tuning, or custom AI model integration.
• Hands-on proficiency in at least 3 relevant programming languages/frameworks, such as JavaScript/TypeScript, Python, Java, Node.js, React, and SQL.
• 5+ years working in agile software development environments, including Scrum/Kanban, 1-2 week sprints, CI/CD deploy pipelines, feature branching, and frequent iterative releases.
• Demonstrated experience taking at least 2 rapid proofs-of-concept or prototypes through implementation or production/pilot readiness, ideally within compressed timelines and ambiguous, rapidly changing requirements.
• Demonstrated experience defining technical patterns and coding standards, conducting code reviews, and working with other developers to maintain code quality.
• Strong problem-solving skills and demonstrated ability to operate effectively in emerging-technology environment