AI Solutions Architect

Yantran; Chennai District; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Yantran in Chennai, India seeks an AI Solutions Architect to design enterprise AI architectures and guide the organization in implementing scalable AI solutions.

You will define enterprise AI strategy, evaluate platforms, lead architecture discussions, and work with engineering teams to deliver secure, cloud-based AI systems using Python and popular cloud providers.

Qualifications

• Experience designing enterprise AI architectures and scalable AI solutions.
• Strong understanding of cloud platforms and AI security/governance.
• Proven track record in leading AI/ML architecture initiatives.

Responsibilities

• Define enterprise AI architecture & strategy.
• Design AI/ML application architectures.
• Evaluate AI platforms, models, and technologies.
• Design integrations between AI systems and enterprise apps.
• Develop AI security and governance strategies.
• Design scalable cloud-based AI solutions.
• Lead technical architecture discussions.
• Evaluate LLM, RAG, NLP, and ML solutions.
• Provide technical leadership to engineering teams.

Skills

AI/ML architecture

Generative AI

LLMs

Cloud architecture

Azure/AWS/GCP

APIs & microservices

Data architecture

AI security & governance

Python

Enterprise architecture

Job description

Seeking an AI Solutions Architect to design enterprise AI architectures and guide organizations in implementing scalable AI solutions.

Responsibilities:

• Define enterprise AI architecture and strategy.
• Design AI/ML application architectures.
• Evaluate AI platforms, models, and technologies.
• Design integrations between AI systems and enterprise applications.
• Develop AI security and governance strategies.
• Design scalable cloud-based AI solutions.
• Lead technical architecture discussions.
• Evaluate LLM, RAG, NLP, and machine learning solutions.
• Provide technical leadership to engineering teams.

Required Skills:

• AI/ML architecture.
• Generative AI.
• LLMs.
• Cloud architecture.
• Azure/AWS/GCP.
• APIs and microservices.
• Data architecture.
• AI security and governance.
• Python preferred.
• Enterprise architecture experience.