Senior Associate AI/ML Engineer

Publicis Groupe ANZ; Gurgaon; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Publicis Re:Sources in India is seeking an AI Senior Associate to define, govern, and scale the enterprise AI vision within the Microsoft Azure AI ecosystem. You will lead design and deployment of secure, scalable AI systems across ML, generative AI, and agent-based automation.

You will partner with business, engineering, data, and platform teams to ensure cloud-native, compliant solutions aligned with long-term strategy. Mentoring junior team members is included.

Qualifications

• Deep expertise in enterprise AI/ML development and system design.
• Hands-on with LLMs, embeddings, fine-tuning and adapters.
• Experience with multimodal AI and RAG architectures.
• Proficient in vector search and semantic retrieval.
• Expert in Microsoft Azure, including Azure AI and data services.
• Track record implementing MLOps and LLMOps at scale.
• Strong knowledge of distributed systems, cloud security and data engineering.

Responsibilities

• Define AI strategy and govern enterprise architecture for cloud-native systems.
• Lead Azure Platform & Infrastructure architecture including Azure ML and OpenAI integration.
• Own model lifecycle: training, evaluation, deployment and monitoring with MLOps.
• Ensure governance, security, privacy, and responsible AI across programs.
• Drive innovation in generative and multimodal AI and orchestration frameworks.

Skills

Enterprise AI/ML design

LLMs

Embeddings

Fine-tuning

Adapters

Multimodal AI

RAG architectures

Vector search

Semantic retrieval

Azure AI

Azure data services

MLOps

LLMOps

Distributed systems

Cloud security

Data engineering

Education

Bachelor’s degree in CS/Engineering

Tools

ServiceNow

Job description

Company description

Publicis Re:Sources is at the core of Publicis Groupe, the world's largest communications company. We are the only full-service, end-to-end shared service organization in the industry, enabling Groupe agencies to do what they do best: innovate and transform for their clients.

Formed in 1998 as a small team to service a few Publicis Groupe firms, Publicis Re:Sources has grown to 6,000+ employees in over 55 countries. We provide technology solutions and business services, including finance, accounting, legal, benefits, procurement, tax, real estate, treasury and risk management, information security, and global mobility — supporting 110,000+ employees across the Publicis Groupe network. Our people are at the center of everything we do, bringing curiosity, collaboration, and a commitment to excellence to their work every day.

Overview

The AI Senior Associate is responsible for defining, governing, and scaling the enterprise
AI vision with a strong focus on the Microsoft Azure AI ecosystem. This role leads the
design & implementation of secure, scalable and production-grade AI systems across
machine learning, generative AI, multimodal AI, and agent-based automation.
The Senior Associate partners with business, engineering, data, and platform teams to
ensure AI solutions are cloud-native, compliant and aligned with long-term enterprise
strategy.
This engineer owns model development, pipeline implementation, optimization, and
deployment, while contributing to MLOps practices and mentoring junior team
members.

Responsibilities

1. 1. AI Strategy & Enterprise Architecture
   • Traditional ML and Deep Learning systems
   • Large Language Models (LLMs) and multimodal AI (text, image, audio)
   • Retrieval-Augmented Generation (RAG) and enterprise knowledge systems
   • Recommendation and personalization engines
   • Agentic AI and intelligent automation
   • Responsible and compliant AI solutions
2. 2. Azure Platform & Infrastructure Architecture
   • Azure AI Studio and Azure OpenAI
   • Azure Machine Learning (training, pipelines, feature stores)
   • GPU/accelerator-backed compute (Azure VM SKUs, AKS)
   • Azure Data Lake, Synapse, Fabric, or equivalent lakehouse architectures
   • Vector databases (Azure AI Search, third-party integrations)
3. 3. Model Lifecycle, MLOps & LLMOps
   • Training, fine-tuning, evaluation, deployment, and monitoring
   • Versioning, lineage, auditability, and rollback
   • CI/CD for models, prompts, and pipelines
   • Monitoring for drift, bias, latency, and hallucinations
   • Secure prompt management and inference governance
4. 4. Governance, Security & Responsible AI
   • Data privacy and security regulations
   • Industry and organizational compliance requirements
   • Responsible AI principles (fairness, transparency, explainability)
   • Identity and access management
   • Data protection and encryption
   • Policy enforcement and monitoring
   • Guardrails for safe AI usage, IP protection, and risk mitigation.
5. 5. Innovation & Technical Leadership
   • Generative and multimodal AI
   • Agent-based workflows and orchestration framewworks
   • Advanced inference optimization and deployment strategies

Required Skills & Expertise

• Deep expertise in enterprise AI/ML development and system design.
• Strong hands-on experience with:
  • Large Language Models (LLMs), embeddings, fine-tuning, adapters
  • Multimodal AI and RAG architectures
  • Vector search and semantic retrieval
• Expert-level experience with Microsoft Azure, including Azure AI and data services.
• Proven track record implementing MLOps and LLMOps at scale.
• Strong understanding of distributed systems, cloud security, and data engineering.

Qualifications

• 8+ years of experience in AI/ML, data platforms, or advanced analytics.
• Minimum 3+ years in Senior / Principal Engineer, or equivalent role.
• Bachelor’s degree in Computer Science, Engineering, or related fiel

Additional information

• Experience with generative AI (text, image, audio, or video).
• Background in building AI platforms, Centers of Excellence (CoE), or shared services.
• Exposure to real-time or large-scale enterprise data systems.
• Familiarity with ServiceNow or Other ITSM platforms & Use cases.