Time since we first saw it
Day 36
Similar jobs usually come down between day 4 and day 77.
At Brillio-2, jobs usually come down by about day 26.
From 51 similar postings that came down, and 69 of Brillio-2’s. Coming down is not always a hire.
Data Science Lead
Hyderabad, Andhra Pradesh, India
Live, first seen by us 36 days ago- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Work setup in the employer’s posting: hybrid
From the employer’s posting- Employment
- Not stated
What you’ll bring
All qualificationsPreferred experience
- Bachelor's degree in Computer Science, Information Technology, Data Science, or a closely related discipline
Qualification wording
Bachelor's degree in Computer Science, Information Technology, Data Science, or a closely related discipline
Education & alternatives
Desired Qualifications: - Bachelor's degree in Computer Science, Information Technology, Data Science, or a closely related discipline - Microsoft Certified: Azure Solutions Architect Expert
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 8, 202636 days ago
- Recorded sightings
- 78
- Last seen by us
- Nov 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Brillio-2 is hiring
49 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Azure
Where the posting names them
- 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
Required Skills: - Microsoft Azure AI technologies, including Azure Foundry and Azure AI services - Designing scalable, secure, and production-ready AI and analytics solutions
- 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
- Microsoft Certified: Azure Solutions Architect Expert - Microsoft Certified: Azure AI Engineer Associate Employment type
Your next step
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Demand for AI Engineer roles
New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
Job description
Architect
Job 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
- 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
- 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
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:
Required Skills:
Preferred Skills:
Desired Qualifications:
Employment type
Employee
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Hyderabad, Andhra Pradesh, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.