AI & Automation Lead -

About the role

This is a hands-on role. The AI & Automation Lead personally designs, builds and runs the AI-enabled pipelines and custom workflows that power creative production at Publicis Production India. They are both the brain and the doer.

Role purpose. To transform how creative production gets made by building practical, AI-enabled automation across our full deliverable scope: web banners, social media assets (with a large share of moving image and video), DSPs/IVA, Rep Triggered Emailers/Approved Emailers, and agency-produced print such as flyers, OOH and DOOH.

The Lead brings a deep, working understanding of creative agency deliverables: how they are built, the tools and file formats involved, and where time is lost between master asset and final output. They identify the opportunities, write the code, stand up the pipelines and prove the value in live production, while maintaining creative quality, brand integrity and appropriate human oversight.

They work closely with Production, Operations, Technology, Quality and client-facing teams, and equip production artists with the tools and workflows they need to deliver faster.

Key responsibilities

A. AI & automation strategy and roadmap

- Develop and own the AI and Production Automation strategy for Publicis Production India, aligned with business priorities and global technology direction.
- Build and maintain a prioritised automation roadmap across our deliverables: web banners, social and video assets, DSPs/IVA, Rep Triggered Emailers/Approved Emailers, and print, OOH and DOOH. Cover the stages in between: master asset creation, adaptation and versioning, localisation, audio and transcription.
- Ground the roadmap in hands-on knowledge of how each deliverable is built today, so priorities reflect real production effort rather than theory.
- Prove ideas quickly with working prototypes, then take the ones that work through validation, deployment and scale.

B. Hands-on solution development and deployment

- Personally design, code and deploy custom pipelines and workflows that support our business scope, for example:
- Master-to-variant resizing and versioning for banners and social assets
- Video versioning, localisation, subtitling and voice-over pipelines
- Template-driven generation of DSPs/IVA and Rep Triggered Emailers/Approved Emailers from approved source files
- Print and OOH/DOOH adaptation, preflight and packaging checks
- AI-assisted QC: spec, copy, claims and reference checks against source material
- Write production-grade code in Python and/or JavaScript/Node, use Adobe scripting (ExtendScript/UXP), and integrate AI models and APIs (LLMs, image, video and voice generation) along with workflow tools.
- Select the right models, platforms and APIs,



in collaboration with the Automation Architect and technology teams.
- Make solutions reliable, secure, maintainable and integrated with existing production systems, with documentation, support models and monitoring.
- Stay hands-on through deployment, troubleshooting live issues and refining tools based on production feedback.

C. Production workflow understanding and redesign

- Sit with production teams to map existing workflows end to end: briefs, master files, tools used, file handoffs, review rounds and final packaging.
- Bring a working understanding of agency tools and formats, including Adobe Creative Cloud (InDesign, Photoshop, Illustrator, After Effects, Premiere), Figma, HTML5 banners, video codecs and delivery specs, email HTML, print-ready PDF and DOOH specs.
- Assess automation potential based on volume, effort, repeatability, complexity and feasibility, and redesign workflows with AI and human review at the right stages.
- Build reusable components that work across disciplines, clients and markets instead of one-off fixes.

D. Commercial accountability and value realisation

- Build business cases for automation initiatives covering effort, expected time savings, capacity release and financial benefit.
- Baseline production hours, turnaround times and quality before deployment, and track actual results after.
- Report regularly on adoption, realised savings and return on investment.

E. Governance, quality and responsible AI

- Apply AI governance principles and responsible-use guidelines in coordination with global technology, security, legal and client teams.
- Make sure AI-enabled workflows meet brand, creative, technical and regulatory requirements, including medical, legal and regulatory review where content is regulated.
- Build human-in-the-loop controls, quality checks and escalation paths directly into the pipelines.
- Identify technology, data, IP and brand-safety risks and put controls in place.

F. Stakeholder management and adoption

- Act as the bridge between production and technology, translating production needs into working solutions.
- Drive adoption through demos, training and hands-on support for production artists.
- Encourage teams to surface automation opportunities and build a culture of continuous improvement.
- Represent the India capability in global AI, automation and production transformation forums.

G. Capability building

- Equip production artists with the right tools, scripts and workflows,



and coach them on using them well.
- Share knowledge through documentation, walkthroughs and training so automation skills spread across production teams.
- Leverage global Publicis technology capabilities and reusable platforms where they fit.

Must-have experience and skills

- 8–12 years of experience, with a significant portion spent in a creative agency, production house or ad-tech environment.
- Complete, working understanding of creative agency deliverables and their workflows: web banners, social media and video assets, DSPs/IVA, Rep Triggered Emailers/Approved Emailers, and print, OOH and DOOH.
- Hands-on knowledge of production tools and file formats: Adobe Creative Cloud (InDesign, Photoshop, Illustrator, After Effects, Premiere), Figma, HTML5/CSS/JS banners, email HTML, video formats and codecs, and print-ready PDF and colour specs.
- A proven track record of personally building automation that runs in live production. Candidates should be able to show working examples, code or pipelines they built themselves.
- Strong coding skills in Python and/or JavaScript/Node, with experience in Adobe scripting (ExtendScript or UXP) and tools such as FFmpeg.
- Practical experience applying GenAI in production: LLM APIs, image, video and voice generation, and building workflows or agents around them.
- The ability to explain technical solutions to production artists and business stakeholders, and to coach others on the tools they build.

Please note: this is a hands-on role. Candidates whose recent experience is mainly managing automation teams, without building the solutions themselves, will not be considered. Nice-to-have

- Pharma or life sciences content experience: Veeva CLM, Veeva Approved Email, and medical, legal and regulatory (MLR) review workflows.
- Experience with agile creative and templating platforms, such as Flexitive, Celtra, Bannerflow or Storyteq, or After Effects templating tools.
- Experience with workflow and integration tools (n8n, Make, Power Automate) and project systems such as Workfront.
- Familiarity with DAM systems and cloud platforms (AWS, Azure or GCP).
- A portfolio, GitHub or demo reel showing production automation work.

What success looks like in the first year

- First 90 days: production workflows mapped across all deliverable types, a prioritised automation backlog agreed, and at least one working pipeline built and running in live production.
- By 6 months: several pipelines in daily use across banners, video, DSPs/IVA, emailers or print, with baseline and post-deployment metrics tracked.
- By 12 months: measurable reductions in production hours and turnaround time, reusable components adopted across accounts, and production artists confidently using the tools built for them.

📌 AI & Automation Lead (Bengaluru)
🏢 Publicis Production
📍 Bengaluru