Infosys Consulting, the management consulting business of Infosys, is looking for a highly skilled AI Consultant to join our Agentic AI Center of Excellence (CoE) within its Enterprise AI & Data practice. This role is pivotal in designing, building, and maintaining data pipelines and AI application components that support cutting-edge Agentic AI solutions within the CoE. Successful candidates would be expected to enable data readiness, integration, and model deployment using Microsoft Azure technologies to power enterprise-scale AI use cases.

Key Responsibilities include

- Stakeholder Engagement: Collaborate with business and technical stakeholders to understand business objectives, user needs, success measures, and technical constraints for AI initiatives.
- AI Application Development: Design and develop AI-enabled applications and reusable solution components using Azure AI services, large language models, and agent orchestration frameworks.
- Data Pipeline Engineering: Design, build, and maintain data ingestion, transformation, validation, and storage pipelines that support AI application requirements.
- Enterprise Integration: Integrate AI applications with enterprise systems, databases, APIs, and business workflows using secure RESTful services and event-driven integration patterns where appropriate.
- Backend Engineering: Develop scalable backend services and APIs using Python, FastAPI, Pydantic, and related application development frameworks.
- Cloud Deployment: Containerize and deploy application components using Docker and cloud-native services, supported by automated CI/CD pipelines.
- Evaluation and Testing: Define test scenarios and evaluate AI applications for response quality, retrieval accuracy, reliability, latency, and adherence to business requirements.
- Monitoring and Optimization: Support application logging, monitoring, troubleshooting, performance optimization,



and cost management across development and production environments.
- Responsible AI and Security: Implement appropriate controls for data privacy, application security, content safety, responsible AI, and compliance with enterprise standards.
- Knowledge Sharing: Document solution designs, implementation approaches, reusable components, and lessons learned, and share technical knowledge with engineering and consulting teams.

Skills & Experience Required:

Minimum YoE: 5 Years

Location: PAN INDIA

Data Engineering & Azure Ecosystem: Strong hands-on experience with

- Data ingestion, transformation, validation, and storage
- ETL/ELT workflows, data modeling, schema design, feature engineering
- Azure Cosmos DB, Azure PostgreSQL, Azure Blob Storage
- Azure AI Search, Azure DevOps

Agentic AI Enablement: Experience supporting

- GPT model fine-tuning, data preparation for LLMs, synthetic data generation
- RAG architectures, embeddings, semantic search, and vector search
- Vector/Graph DBs (neo4j), LangChain/LangGraph, AutoGen or equivalent frameworks
- Prompt and Context engineering for agent memory and tool chaining
- Responsible AI principles, model explainability, data privacy controls

Programming & Micro Services Architecture: Strong skills in

- Python, PySpark, SQL, Fast API (Pydantic, REST APIs)
- Containerization using Docker/Kubernetes, and CI/CD automation

Soft Skills

- Ability to collaborate effectively with AI Consultants, Architects, and Business Analysts
- Solid communication skills to explain data and AI concepts to non-technical stakeholders & ability to transfer industry knowledge to peers

Preferred Certifications

- Microsoft Certified: Azure Data Engineer Associate (DP-203)
- Microsoft Certified: Azure AI Engineer Associate (AI-103)
- NVIDIA/ Google Certified AI Practitioner or equivalent minimum specialization in Generative/Agentic AI
- Claude Certified Associate – Foundations / Claude Certified Developer – Foundations / Claude Certified Architect – Foundations

📌 AI Engineer (Bengaluru)
🏢 Infosys Consulting
📍 Bengaluru