# Data Science Lead - R01572475 at Brillio

Data Science Lead - R01572475 at Brillio in Hyderabad, Andhra Pradesh, India. Hybrid. Posted October 8, 2026.

- Company: Brillio
- Location: Hyderabad, Andhra Pradesh, India
- Workplace: Hybrid
- Experience: 7+ years
- Posted: 2026-10-08
- Apply: https://jobs.lever.co/brillio-2/f9a0b1f5-fd20-4a0a-b2e5-9fec401d8573/apply
- Source: https://jobmagic.ai/jobs/data-science-lead-r01572475-brillio-75t3bk

## Requirements

- Architect and deliver enterprise AI platforms and advanced analytics solutions that align with business objectives and drive measurable outcomes
- Translate complex business use cases into scalable AI, analytics, and technology architectures leveraging modern cloud and AI capabilities
- Design and implement AI solutions utilizing Azure Foundry, Azure AI services, and cloud-native technologies to ensure scalability, security, and production readiness
- Define architecture patterns and frameworks for Generative AI, machine learning, advanced analytics, and intelligent applications
- Collaborate with business, data, engineering, and platform teams to drive AI initiatives from ideation through implementation
- Establish standards and best practices for AI platform engineering, integration, governance, security, and operationalization
- Evaluate emerging AI platform capabilities and technologies to identify opportunities for improving business outcomes
- Provide architectural guidance to delivery teams and stakeholders to ensure AI investments are aligned with enterprise priorities
- Microsoft Azure AI technologies, including Azure Foundry and Azure AI services
- Designing scalable, secure, and production-ready AI and analytics solutions
- Generative AI, machine learning, and advanced analytics architectures
- Enterprise cloud platforms and data platform engineering
- API design, integration patterns, and modern AI solution architectures
- AI governance, security, responsible AI, and operationalization best practices
- MLOps and AI platform automation

## Description

**Architect**

### Job requirements

**Experience Range:** With at least 7 to 10 years of experience in AI, advanced analytics, cloud platforms, and solution architecture, including demonstrated expertise in translating business requirements into scalable, secure, production-ready AI solutions **Key Responsibilities:**

- Architect and deliver enterprise AI platforms and advanced analytics solutions that align with business objectives and drive measurable outcomes

- Translate complex business use cases into scalable AI, analytics, and technology architectures leveraging modern cloud and AI capabilities

- Design and implement AI solutions utilizing Azure Foundry, Azure AI services, and cloud-native technologies to ensure scalability, security, and production readiness

- Define architecture patterns and frameworks for Generative AI, machine learning, advanced analytics, and intelligent applications

- Collaborate with business, data, engineering, and platform teams to drive AI initiatives from ideation through implementation

- Establish standards and best practices for AI platform engineering, integration, governance, security, and operationalization

- Evaluate emerging AI platform capabilities and technologies to identify opportunities for improving business outcomes

- Provide architectural guidance to delivery teams and stakeholders to ensure AI investments are aligned with enterprise priorities

**Required Skills:**

- Microsoft Azure AI technologies, including Azure Foundry and Azure AI services

- Designing scalable, secure, and production-ready AI and analytics solutions

- Generative AI, machine learning, and advanced analytics architectures

- Enterprise cloud platforms and data platform engineering

- API design, integration patterns, and modern AI solution architectures

- AI governance, security, responsible AI, and operationalization best practices

- MLOps and AI platform automation

**Preferred Skills:**

- Leading enterprise AI transformation and platform modernization initiatives

- GenAI patterns, including LLM applications, Retrieval-Augmented Generation (RAG), agents, prompt engineering, and AI orchestration

- Building reusable AI platforms and accelerators for enterprise-scale adoption

- LLMOps, AI observability, and model lifecycle management

- Connecting AI platform capabilities to measurable business outcomes

**Desired Qualifications:**

- Bachelor's degree in Computer Science, Information Technology, Data Science, or a closely related discipline

- Microsoft Certified: Azure Solutions Architect Expert

- Microsoft Certified: Azure AI Engineer Associate