AI Architect

Datakosa Limited; Hyderabad; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

Datakosa Limited in Hyderabad is seeking an experienced AI Architect to design and lead the architecture of next-generation AI and intelligent enterprise solutions. The role translates business requirements into scalable AI architectures and guides engineering teams to build secure, production-ready AI systems.

The ideal candidate has hands-on experience across Generative AI, LLMs, NLP, AI Agents, RAG, APIs and cloud architectures, and will collaborate closely with product, engineering and

Qualifications

• 8+ years of experience in software, AI/ML, data engineering or solution architecture with AI focus.
• Strong grasp of Generative AI, LLMs, RAG, prompt engineering, AI Agents and ML.
• Experience with Python, PyTorch or TensorFlow, LangChain and LlamaIndex.

Responsibilities

• Define and lead end-to-end AI architecture for enterprise products and platforms, covering data, models, applications, APIs and infrastructure.
• Design solutions using Generative AI, LLMs, RAG, AI Agents, NLP and Machine Learning technologies.
• Evaluate and select appropriate AI models, frameworks, tools and cloud services.
• Establish architecture standards for scalability, security, performance, reliability, governance and responsible AI.
• Work with product and engineering teams to productionize AI solutions.
• Design integrations with enterprise data sources, APIs, databases and third-party AI services.
• Lead evaluations, PoCs and architecture decisions involving emerging AI technologies.
• Mentor AI/ML engineers and contribute to technical standards and best practices.

Skills

Generative AI

LLMs

RAG

AI Agents

NLP

Machine Learning

prompt engineering

APIs

cloud architectures

Architecture thinking

Tools

Python

PyTorch/TensorFlow

LangChain

LlamaIndex

Job description

Artificial Intelligence & Technology Hyderabad / Hybrid Full-Time 8+ Years

About the Role

We are looking for an experienced AI Architect to design and lead the architecture of next-generation AI and intelligent enterprise solutions. The role will involve translating business requirements into scalable AI architectures, evaluating emerging AI technologies, and guiding engineering teams in building secure, reliable and production-ready AI systems.

The ideal candidate will have strong hands-on experience across Generative AI, Large Language Models (LLMs), Machine Learning, AI Agents, RAG, NLP, APIs and cloud-based architectures, along with the ability to work closely with product, engineering and business teams.

Key Responsibilities

• Define and lead end-to-end AI architecture for enterprise products and platforms, covering data, models, applications, APIs and infrastructure.
• Design solutions using Generative AI, LLMs, RAG, AI Agents, NLP and Machine Learning technologies.
• Evaluate and select appropriate AI models, frameworks, tools and cloud services based on business and technical requirements.
• Establish architecture standards for scalability, security, performance, reliability, governance and responsible AI.
• Work with product and engineering teams to convert concepts and prototypes into production-ready AI solutions.
• Design integrations with enterprise data sources, APIs, databases and third-party AI services.
• Lead technical evaluations, PoCs and architecture decisions involving emerging AI technologies.
• Mentor AI/ML engineers and contribute to technical standards, design reviews and engineering best practices.

Required Skills & Experience

• 8+ years of experience in software, AI/ML, data engineering or solution architecture, with significant experience in AI systems.
• Strong understanding of Generative AI, LLMs, RAG, prompt engineering, AI Agents and Machine Learning.
• Experience with AI/ML frameworks and technologies such as Python, PyTorch/TensorFlow, LangChain, LlamaIndex or equivalent platforms.
• Strong understanding of APIs, microservices, databases, data pipelines and cloud architecture.
• Experience with one or more major cloud platforms such as AWS, Microsoft Azure or Google Cloud.
• Understanding of LLM inference, vector databases, embeddings, model evaluation and AI security.
• Strong architectural thinking with the ability to balance technical, business and commercial requirements.

What We Look For

• Strong problem-solving and system-design capabilities.
• Ability to think beyond individual AI models and design complete enterprise AI ecosystems.
• Passion for experimenting with and applying emerging AI technologies.
• Strong communication and stakeholder-management skills.
• Ability to work in a fast-paced, product-focused environment.
• A practical mindset focused on building scalable, usable and commercially valuable AI solutions.

Why Join Us?

• Work on next-generation AI and enterprise technology products.
• Opportunity to influence product architecture and technology strategy.
• Work with emerging technologies across Generative AI, Agentic AI, LLMs and intelligent data platforms.
• Collaborate with a multidisciplinary team of technology, product and business professionals.
• Opportunity to build AI solutions that address real-world enterprise challenges.

If you are passionate about architecting the future of enterprise AI and want to build intelligent systems that can operate at scale, we would love to hear from you.