Associate Director, Content & Digital Experience Capabilities - Solution Architecture & Engineering

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This is a hands-on technical role within the Commercialization BI&T organization, responsible for leading solution architecture, engineering, and supporting delivery for capabilities within the Marketing Technology platforms (specifically in the content & digital engagement channels space), as well as content/engagement channels performance that drives next best action. A primary focus is serving as Technical Lead for the Marketing AI Platform (that leverages the Mar Tech platform capabilities)-migrating the current platform from Microsoft Azure to AWS, building and deploying agentic AI applications, and realizing the north-star vision of automating end-to-end marketing workflows for speed-to-market and hyper-personalized marketing at scale.

The ideal candidate is a full-stack engineer
-backend and Dev Ops heavy-equally comfortable whiteboarding system designs, writing microservices, debugging Kubernetes pods, building CI/CD pipelines, and reviewing pull requests. Critically, this role bridges the gap between deep technical execution and business strategy; the individual must distill complex technical architectures, AI concepts, and engineering trade-offs into clear, simple, and compelling narratives for business stakeholders, enabling confident and informed decision-making without requiring technical expertise.

This role drives the technology vision, owns architecture and innovation roadmaps, and shapes the content, digital, and AI transformation through hands-on contribution, technical mentorship, and transparent stakeholder communication. The individual will partner with Business Leads, IT Leads, Digital & Production agency partners, Senior Architects, and Technical Leads globally to architect, build, and integrate capabilities that have the greatest enterprise impact.

Key Responsibilities:

* · Architect, build, and deliver solution architectures for content & digital platforms and the Marketing AI platform - hands-on writing production-grade backend code (Python, Node.js), APIs (REST/GraphQL), data pipelines, and infrastructure-as-code, setting the engineering standard for the team.

* Lead the end-to-end Azure-to-AWS migration of the Marketing AI platform - including service mapping, data migration, workload re-platforming, and cutover - and design the target-state AWS architecture using Bedrock, Sage Maker, Lambda, Step Functions, ECS/EKS, API Gateway, DynamoDB, and Event Bridge.

* Build and deploy agentic AI applications - autonomous marketing agents for content generation, audience segmentation, campaign orchestration, and real-time personalization - using frameworks such as Lang Chain, Lang Graph, CrewAI, or custom orchestration, with proper governance including human-in-the-loop checkpoints and responsible AI practices.

* Drive the north-star vision of automating end-to-end marketing workflows - from insight generation and content creation through approval, distribution, channel activation, and performance measurement - to increase speed-to-market and enable personalized marketing at scale.

* Own Dev Ops and cloud infrastructure - design and maintain CI/CD pipelines (Git Hub Actions, Code Pipeline, Jenkins), manage Infrastructure-as-Code (Terraform, CDK/Cloud Formation), container orchestration (ECS/EKS/Kubernetes), serverless deployments, environment strategy (dev/staging/prod), and enforce best practices for automated testing, blue/green deployments, monitoring, logging, and incident response.

* Ensure platform security, compliance, and cost optimization - hands-on with IAM, secrets management, VPC/network security, encryption, and data privacy controls; monitor resource utilization, implement auto-scaling, right-size compute, and establish cost governance.

* Lead full-stack and backend engineering - design and build microservices, event-driven architectures, database solutions (PostgreSQL/RDS, DynamoDB/Document DB), data pipelines (AWS Glue, PySpark, Airflow), and AI/ML pipelines (Sage Maker, Bedrock); build frontend components (React.js, Type Script) as needed.

* Implement robust integration patterns connecting the Marketing AI platform and…