AI Engineer with Adobe Fluency

8 - 13 years

25 - 37 Lacs

Posted:3 weeks ago| Platform: Naukri logo

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Full Time

Job Description

Role: Forward Deployed AI Engineer
Experience: 8+ YearsLocation: Noida and Bangalore (Base location)-HybridNotice period; Immediate joiners

Job Description:
- Full-Stack Expertise: 3+ years as a full-stack developer or technical consultant

building and launching production software (React.js/Next.js/Angular;

Node.js/Java Spring Boot; REST/GraphQL, HTML, JavaScript, Java, XML).

- 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 Adobe Experience Cloud integrations (AEM, Workfront

Fusion, AJO or equivalent experience).

- Cloud and DevOps Savvy: AWS/Azure/GCP, containerization

(Docker/Kubernetes), and CI/CD tooling (GitLab, Jenkins, etc.).

- Strong communicator: You translate complex AI concepts for both engineers

and executives and guide customers through technical decisions aligned to

business objectives.

- 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.

- Startup DNA: Thrives in fastpaced, ambiguous environmentsrelentlessly

seeking better, faster, more innovative ways to solve customer objectives and

challenges
Responsibility:

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

Forward-Deployed AI Engineer

Here are screening questions and a list of mandatory skills for a basic recruiter screen, structured to quickly assess the core requirements.

Mandatory Skills for Basic Screening

The candidate must meet all of the following criteria to move past the initial screening:

1. Professional Experience & Full-Stack

3+ years

Frontend:

Backend:

2. AI/GenAI Expertise

Generative AI

AI-first experimentation mindset

3. Adobe Fluency

Adobe Creative Cloud APIs/SDK/CEP

Familiarity with Adobe Experience Cloud integrations is a strong plus (AEM, Workfront Fusion, AJO).

4. Cloud & DevOps

Cloud platforms

containerization

CI/CD

I. AI/GenAI & Deployment

1.

Generative AI

II. Full-Stack Expertise

2.

React.js/Next.js/Angular

III. Adobe Fluency

3.

Adobe Creative Cloud APIs/SDK/CEP

IV. Cloud & DevOps

4.

AWS/Azure/GCP

V. Culture/Fit

5.

Rapid Prototyping

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