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AI Solution Architect
Chennai, Bangalore, Hyderabad
Job Description
AI Solution Architect
Location: Chennai/Bangalore/Hyderabad
Who we are?
Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.
Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.
We are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.
Role Overview
We are looking for a seasoned AI Solution Architect to define and lead enterprise-scale AI architecture and solution delivery aligned with business objectives. This role requires strong expertise in Generative AI, Azure AI ecosystem, and Open-source AI technologies, along with end-to-end AI application development capabilities across full-stack technologies such as React, .NET, and C#.
This is not a pure Data Science role — we are seeking a hands-on architect who can drive AI platforms and production-grade AI applications.
This is not a pure Data Science role — we are seeking a hands-on architect who can drive AI platforms and production-grade AI applications.
Key Responsibilities
- Define and drive AI architecture strategy aligned with business and technology goals
- Lead the design and delivery of large-scale AI and GenAI solutions using Azure AI stack and open-source frameworks
- Architect end-to-end AI applications — from model integration to full-stack deployment
- Evaluate and select appropriate AI tools, frameworks, and methodologies
- Design scalable LLM / GenAI / RAG-based solution architectures
- Ensure solution quality through architecture reviews, governance, and technical audits
- Partner with stakeholders and clients to translate requirements into scalable AI platforms
- Mentor architects and engineering teams and drive engineering best practices
- Establish architectural standards, reusable patterns, and documentation
- Guide production deployment, performance optimization, and security of AI systems
Required Skills & Experience
- Strong experience in AI / ML / GenAI solution architecture
- Hands-on experience with Azure AI services (Azure AI, Azure ML, Azure OpenAI, Cognitive Services)
- Experience with Open Source AI frameworks (LangChain, LlamaIndex, HuggingFace, vector DBs, etc.)
- Strong knowledge of LLMs, RAG pipelines, prompt engineering, and GenAI solution patterns
- Experience building end-to-end AI applications — not limited to modeling
- Full-stack AI app exposure using:
React / ReactJS
.NET / .NET Core
C# - Experience integrating AI models into enterprise applications and APIs
- Architecture and design experience for scalable AI platforms
- Strong knowledge of cloud architecture patterns and DevOps practices
Good to Have
- Experience with AI governance and responsible AI frameworks
- Experience with multi-model and hybrid AI architecture
- Exposure to MLOps / LLMOps practices
- Experience working with enterprise clients and cross-functional teams
You are important to us, let’s stay connected!
· Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.
Job Requirement
Required Skills & Experience
- Strong experience in AI / ML / GenAI solution architecture
- Hands-on experience with Azure AI services (Azure AI, Azure ML, Azure OpenAI, Cognitive Services)
- Experience with Open Source AI frameworks (LangChain, LlamaIndex, HuggingFace, vector DBs, etc.)
- Strong knowledge of LLMs, RAG pipelines, prompt engineering, and GenAI solution patterns
- Experience building end-to-end AI applications — not limited to modeling
- Full-stack AI app exposure using: React / ReactJS .NET / .NET Core C#
- Experience integrating AI models into enterprise applications and APIs
- Architecture and design experience for scalable AI platforms
- Strong knowledge of cloud architecture patterns and DevOps practices
Good to Have
- Experience with AI governance and responsible AI frameworks
- Experience with multi-model and hybrid AI architecture
- Exposure to MLOps / LLMOps practices
- Experience working with enterprise clients and cross-functional teams