AI Engagement Manager

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, enterprise 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 for both engineers and executives and guide customers through technical decisions aligned to business objectives.

Startup DNA : Thrives in fast-paced, ambiguous environments—relentlessly seeking better, faster, more innovative ways to solve customer objectives and challenges.

Market competitive salary, vacation and sick days

Fully remote position, open to any Canadian resident

Collaborative environment with weekly town halls ensuring all employees are engaged

Profit sharing

Health and dental plan

Employee training and growth programs

Location

AFTIA

AFTIA brings clarity and scale to workflow and e-signature optimization.

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