Description

Design, build, and deploy autonomous AI systems for the digital content supply chain lifecycle, powering automated content creation, compliance, and distribution.

This role is on-site.

Responsibilities

• Design and implement master agentic orchestration layers using cloud-native tools like AWS Step Functions, Bedrock Agents, or Azure OpenAI/Semantic Kernel.
• Build multi-agent workflows to securely source data from Adobe technologies, generate compliant text via foundation models, and push assets into API-driven consumption layers.
• Implement strict operational boundaries using AI guardrails, content moderation APIs, and serverless computing to ensure brand and regulatory compliance.
• Own technical design and delivery of AI initiatives including chat-native workspaces, dynamic visual component pairing, and automated regulatory pipelines.
• Validate state management and decision-making logic of autonomous AI agents using ML tracking to ensure output accuracy.

Required Skills

• 5+ years of experience in AI integration and engineering.
• Strong understanding of Semantic, Knowledge, and foundational data layers.
• Experience designing API-First, Headless, Agent-first architectures.
• Proficiency with cloud-native AI engineering across AWS, GCP, or Azure.
• Ability to partner with Data Science and Machine Learning engineers.
• Experience with legacy system integration and orchestration.
• Understanding of data, asset management, tagging, and metadata tracking solutions.

Preferred Skills

• Experience with Adobe technologies and digital asset management.
• Background in regulatory compliance and quality assurance pipelines for AI.

Referral Bonus: Usc Candidate

Key Skills

Education

Not specified