Hiring For AI Architect

Cognitud Advisory Services; Hyderabad, Chennai District, Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Cognitud Advisory Services in India is seeking an AI Architect to design and implement scalable, secure enterprise AI solutions. The ideal candidate will bring deep expertise in AI/ML architecture, cloud platforms, and end-to-end solution design.

You will lead architecture for NLP, computer vision, and Generative AI, build and govern MLOps/LLMOps pipelines, collaborate with data, cloud, and security teams, and mentor engineering colleagues to deliver high-performance systems.

Qualifications

• Experience designing enterprise AI/ML architectures.
• Hands-on with Python and ML frameworks (TF, PyTorch, scikit-learn).
• Knowledge of Generative AI, LLMs, and vector databases.
• Cloud platforms such as Azure, AWS, or GCP.
• MLOps exposure and API/microservices design.

Responsibilities

• Design enterprise AI/ML architectures aligned with business goals.
• Define scalable AI/ML solutions for NLP, CV, and Generative AI use cases.
• Lead AI solution design from requirements to deployment.
• Evaluate AI frameworks, platforms, and emerging tech.
• Design MLOps/LLMOps pipelines including deployment and governance.
• Collaborate with data engineering, cloud, security teams.
• Ensure performance, security, scalability, compliance.
• Provide technical leadership and mentor teams.

Skills

AI/ML architecture

Python

Generative AI

LLMs

Cloud platforms

MLOps/LLMOps

Data pipelines

Tools

TensorFlow

PyTorch

Scikit-learn

Docker

Kubernetes

Job description

AI Architect

Location: Pan India
Experience: 10-18 Years
Open Positions: 10

Job Summary

We are looking for an experienced AI Architect to design and implement scalable, secure, and enterprise-grade AI solutions. The ideal candidate will have strong expertise in AI/ML architecture, cloud platforms, generative AI, data platforms, and end-to-end solution design.

Key Responsibilities

• Design enterprise AI/ML architectures aligned with business and technology objectives.
• Define scalable solutions for machine learning, NLP, computer vision, and Generative AI use cases.
• Lead AI solution design from requirements through implementation and production deployment.
• Evaluate AI frameworks, models, platforms, and emerging technologies.
• Design MLOps/LLMOps pipelines for model development, deployment, monitoring, and governance.
• Collaborate with data engineering, cloud, application, and security teams.
• Ensure AI solutions meet performance, security, scalability, and compliance requirements.
• Provide technical leadership and mentor AI/ML engineering teams.

Required Skills

• Strong experience in AI/ML architecture and enterprise solution design.
• Hands-on experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with Generative AI, LLMs, RAG, prompt engineering, and vector databases.
• Strong knowledge of cloud platforms such as Azure, AWS, or GCP.
• Understanding of MLOps, APIs, microservices, and containerization.
• Experience with data platforms, data pipelines, and distributed computing.
• Strong communication, stakeholder management, and solutioning skills.