Artificial Intelligence Consultant

Job Summary :

We are seeking a highly skilled AI Consultant to join our Agentic AI Center of Excellence (CoE) within AI-Labs. This role is pivotal in designing, building, and maintaining data pipelines and AI application components that support cutting-edge Agentic AI Proof-of-Concept (POC) 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 :

- Data Pipeline Engineering : Design, build, and maintain ingestion, transformation, and storage pipelines using Azure Data Factory, Synapse Analytics, and Data Lake.

- AI Data Enablement : Collaborate with AI Consultants to prepare and manage datasets for supervised, unsupervised, and synthetic learning workflows.

- POC Support : Implement optimized data pipelines for Agentic AI POCs using realistic or

synthetic data sources.

- API & Microservices Development : Build RESTful APIs and Fast API-based microservices for data access and model interaction within Azure-hosted environments.

- Model Deployment Support : Enable end-to-end deployment of AI models using Azure

Machine Learning, Azure Kubernetes Service (AKS), and Azure DevOps.

- Data Governance & Compliance : Ensure data quality, lineage, and compliance with responsible AI and enterprise data standards.

Role Requirements and Qualifications :

- 5+ years of experience in data engineering and Azure cloud ecosystem.

- Strong hands-on experience with Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Azure Blob Storage, Azure Machine Learning, Azure DevOps, Azure Kubernetes Service.

- Experience supporting with GPT model fine-tuning, data preparation for LLMs, synthetic data generation, Vector/Graph DBs (neo4j), Azure AI Search, LangChain data loaders.

- Context engineering for agent memory and tool chaining and responsible AI principles, model explainability, data privacy controls.

- Programming expertise in Python, PySpark, SQL, Fast API (Pydantic, REST APIs), ETL/ELT workflows, data modeling, schema design, feature engineering.

- Containerization using Docker/Kubernetes, and CI/CD automation.

- Ability to collaborate effectively with AI Consultants, Architects, and Business Analysts.

- Strong communication skills to explain data engineering 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-102).

- SnowPro Data Engineer or other relevant specialization in Data Engineering, Generative AI, or

Agentic AI frameworks.

Why Join Us :

- Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.

- Continuous investment in employee growth and professional development with a strong focus on up & re-skilling.

- Competitive compensation & benefits, ESOPs and international assignments.

- Supportive environment with healthy work-life balance and a focus on employee well-being.

- Open culture that values diverse perspectives, encourages transparent communication