AI Engagement Manager

Job description

Primary Role: As an AI Engagement Manager, you're highly skilled at leading customer engagements – identifying and documenting business use cases, mapping them to Adobe solutions, and driving fast time to measurable value. You are a hands-on product owner and customer leader at heart with expertise and experience in business consulting, digital strategy, agile pod-based software development, enter...prise software, AI/ML, cloud deployments, and data integration.

If you thrive in start-up environments—scaling products from prototype to production, pushing innovative research into real-world use cases, and owning product & business outcomes—you’ll fit right in here!

The Opportunity

Join our “DevOps for Content” revolution as we partner with global brands and agencies to transform their end-to-end creative workflows – from ideation to activation – to deliver AI-powered content services with speed, scale, and governance.

Through an AI-first experimentation approach and deep expertise in both first-party and third-party AI models, we develop new applications, platforms, and scalable patterns that unlock the GenAI-powered Content Supply Chain.

We function as a continuous product innovation engine—feeding repeatable customer solutions straight into the product roadmap to accelerate product-led growth.

As a Forward Deployed AI Engineer, you will own the end-to-end development and launch of GenAI applications through Adobe and third-party generative models.

You are an AI native who will embed directly into customer teams to spin up proof points in days and co-develop features that enhance customer value.

If you thrive in start-up environments—scaling products from prototype to production, pushing innovative research into real-world use cases, and owning product & business outcomes—you’ll fit right in here!

What You’ll Do

• Collaborate & Innovate: Partner with Technical Architects, Engagement Managers and Product teams to define customer requirements/use cases, facilitate technical workshops, and co-create specific GenAI solutions.

• Prototype Rapidly: Apply an AI-first experimentation mindset—build proof points in days, iterate on feedback, and drive quick wins. UX/UI and rapid prototyping skills are a plus.

• Engineer End-to-End: Design, build, and deploy full-stack applications and microservices—integrating Firefly APIs, Common Extensibility Platform, GenStudio for Performance Marketing, headless CMS architectures and UX/UI Designs.

• Bridge to Product: Capture field-proven use cases and funnel them back to Product & Engineering—fueling the Firefly roadmap.

• Automate & Scale: Develop reusable components, CI/CD pipelines, and governance checks to ensure consistent, repeatable delivery.

• Operate at Speed: Thrive in a constantly evolving, start-up-like environment—own delivery sprints, tackle challenges on-site/remotely, and adapt to evolving AI trends.

• Share & Elevate: Document your playbooks, prompts, and patterns in our internal knowledge base—helping the whole organization move faster.

What You Bring

• GenAI Mastery: Extensive hands-on experience with modern AI technologies, including: Large Language Models (LLMs) – OpenAI GPT, Anthropic Claude, Meta Llama, Mistral, etc. || Diffusion models (Adobe Firefly, Stable Diffusion, DALL·E, Midjourney) || Retrieval-Augmented Generation (RAG) pipelines, vector databases (Pinecone, Weaviate, FAISS), and semantic search || Fine-tuning, prompt engineering, and model optimization || AI agent frameworks (AutoGen, LangChain, LlamaIndex) || Multimodal AI (text, image, video, audio processing)

• Cloud & DevOps Expertise: Proficient with core services (EC2, S3, Lambda, IAM, CloudFormation) and AI/ML tools (SageMaker, Bedrock) || Azure: Experience with compute (VMs, Functions), storage (Blob), and AI services (Azure OpenAI, Cognitive Services) || Containerization & Orchestration: Docker, Kubernetes, and serverless deployments || CI/CD & IaC: GitLab CI/CD, Jenkins, GitHub Actions, Terraform, or equivalent || Monitoring & Logging: CloudWatch, Azure Monitor, Datadog, or similar

• AI Tinkerer: AI-native tinkerer who embeds AI in your day-to-day workflows and spends your free time inventing and tinkering with the possibilities of AI. You keep ahead of market trends across third-party models, GPUs, and new AI applications.

• Adobe Fluency: Deep understanding of Adobe Creative Cloud APIs/SDK/CEP, Firefly Services APIs, and nice to have: Adobe Experience Cloud integrations (AEM, Workfront Fusion, AJO or equivalent experience).

• Customer-Centricity: Always prioritizing the customer and their needs and expectations first in everything you do. You are outstanding at contributing to a culture of customer-centricity among your team and your extended ecosystem.

• Strong communicator: You translate complex AI concepts

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