AIA Agentic AI ENGINEER

The opportunity

We are seeking a dynamic Senior consultant to join our AI Data Consulting team, focused on driving data-driven transformations . The ideal candidate will bring a unique blend of AI strategy consulting, data enterprise data assessments and hands-on collaboration with cross-functional teams to deliver scalable and impactful solutions.

You will work closely with C-suite leaders, operating partners, and portfolio company executives to help them leverage Agentic AI, Mistral LLM ecosystem (including Studio, Vibe, and Forge) , analytics, and data-driven platforms to unlock value, accelerate digital transformation, and create competitive advantage.

Your key responsibilities

Technical Excellence:

- AI Data Consulting for Private Equity
- Partner with Operating Partners and leadership teams to define and execute Agentic AI, GenAI, and analytics-driven strategies leveraging modern LLM ecosystems including Mistral AI.
- Develop and deploy AI implementation playbooks , frameworks, and accelerators incorporating Mistral models and agent-based architectures to drive tangible value creation.
- Assess technology cost optimization , data monetization , and digital transformation opportunities across portfolio companies.

- AI Ready Data Enterprise Data Assessments
- Assess whether data is clean, secure, well structured, and ready for AI i.e.: AI-readiness evaluation (quality, lineage, security, architecture)
- Review existing enterprise data to identify gaps and issues and evaluate the strength of data foundations across ERP and core systems
- Define clear, prioritized actions to fix gaps and enable Mistral-powered AI use cases




- Apply assessments during diligence, post merger integration, and 100 day plans

AI Digital Transformation

- Design Agentic driven initiatives , translating business and functional requirements into agent architectures, workflows, and capabilities using platforms such as Mistral Studio and Vibe.
- Build proprietary AI/ML accelerators leveraging Mistral LLMs (e.g., Mistral Large, Codestral, Pixtral) to enhance business processes such as customer care, software development, predictive analytics, and operational automation.
- Develop and deploy Retrieval-Augmented Generation (RAG) pipelines integrating enterprise data with Mistral models and enterprise AI platforms such as Mistral Forge .
- Stay ahead of emerging trends in AI, LLMs, process mining, and advanced analytics to deliver cutting-edge solutions.
- Familiarity with process mining tools like Celonis, Signavio, or PAFnow.
- Proficiency with Agentic AI frameworks (e.g., LangChain, semantic kernels, Autogen)
- Proficiency in Python and retrieval-augmented generation (RAG)
- Understanding of basic data structures and algorithms
- Working knowledge of: REST APIs, JSON, Async workflows

- Data Analytics Strategy
- Design and implement data solutions leveraging cloud platforms, data engineering frameworks,



and predictive analytics models integrated with LLM platforms such as Mistral AI to solve complex business challenges.
- Develop and Deploy data governance and quality frameworks , data marketplaces and analytics dashboards .
- Expertise in designing, implementing, and maintaining Master Data Management (MDM) solutions to ensure data consistency, accuracy, and governance across enterprise systems.
- Strong understanding of Cloud platforms (Azure / AWS / GCP), data visualization tools , and analytics solutions .
- Exposure to ERP transformations (e.g., Dynamics 365, SAP, Oracle) and portfolio tech integrations is a plus.

Team Leadership Collaboration

- Work with cross -functional teams across consulting, product development, and data engineering to refine requirements
- Foster collaboration between AI product teams, analytics experts, and sector specialists to deliver integrated , end-to-end AI solutions leveraging Mistral ecosystem capabilities .
- Drive knowledge sharing and capability-building within the team.
- Provide technical expertise during strategy execution, POCs, and architectural decisions

Skills and Attributes:

Educational Background

- MBA / PGDM / master s degree in data science , AI, Analytics, or Business Management . Engineering or quantitative background preferred.

Qualified Experience

- 5 to 10 years of experience in Agentic AI, digital transformation

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 EY - GDS Consulting - AIA - Agentic AI Engineer - Senior (Kolkata)
🏢 EY
📍 Kolkata