Artificial Intelligence Architect

Anlage Infotech; Mumbai; On-site; INR 4,200,000 - 6,800,000; Full time

Job summary

Anlage Infotech in Mumbai seeks an experienced AI Architect to lead AI/ML strategy within the AI COE. You will design scalable AI systems, integrate LLM/GAN tech, and drive RAG, MLOps, and cloud migration initiatives, collaborating with cross-functional teams to deliver robust solutions.

The ideal candidate has 13+ years in AI/ML architecture, hands-on TensorFlow, Python/R/Java, and a proven track record in deploying AI at scale.

Qualifications

• 13+ years in AI/ML architecture.
• Proven experience with LLMs, including fine-tuning and deployment.
• Advanced knowledge of RAG architecture and implementation.
• Hands on Experience in Tensorflow and Data science.
• Experience with Classic AI concepts.
• Strong background in MLOps and model monitoring.
• Experience with distributed computing and GPU optimization.
• Programming in Python, R, or Java; familiarity with AI libraries.

Responsibilities

• Lead AI model development and implementation, staying abreast of the latest advancements in AI.
• Architect scalable AI systems that seamlessly integrate with current needs.
• Collaborate with cross-functional teams to drive innovation and meet project objectives.
• Conduct code reviews, troubleshoot, and optimize performance for top-notch solutions.
• Experience with RFP/Presales activities, estimations and cloud migration strategies for applications.
• Stay updated on industry trends and technologies to foster innovation and growth.

Skills

LLMs

RAG architecture

MLOps

TensorFlow

Data science

AI deployment

GPU optimization

Distributed computing

Python

R

Java

Education

B.Tech/B.E (IT) or higher

Tools

TensorFlow

PyTorch

scikit-learn

Graph databases

Vector stores

Job description

Job title: AI Architect

Job Location : Mumbai

Job purpose

We are seeking an experienced AI Architect to drive innovation in AI/ML solutions within the AI COE. The role focuses on implementing Data Science, traditional AI, advanced AI technologies, including Large Language Models (LLMs), GEN AI, TensorFlow. This position requires working experience in RAG architecture and MLOps, collaborating with cross-functional teams to deliver scalable AI solutions.

Key responsibilities

• Experience: 13+ years in AI/ML Architecture
• Share expertise on AI and generative technologies, offering thought leadership for COE Practice.
• Architect scalable AI systems that seamlessly integrate with current needs.
• Lead AI model development and implementation, staying abreast of the latest advancements in AI.
• Conduct code reviews, troubleshoot, and optimize performance for top-notch solutions.
• Experience in working on RFP/Presales activities, estimations and cloud migration strategies for applications.
• Collaborate with cross-functional teams to drive innovation and meet project objectives.
• Stay updated on industry trends and technologies to foster innovation and growth.

Requirements-Technical Skills:

• Providing technical sales strategies and Data Science & AI application deployments.
• Proven experience with LLMs, including fine-tuning and deployment
• Advanced knowledge of RAG architecture and implementation
• Hands on Experience in Tensorflow and Data science.
• Should have worked on Classic AI.
• Strong background in MLOps and model monitoring
• Experience with distributed computing and GPU optimization

Programming:

• Proficiency in programming languages such as Python, R, or Java, and familiarity with AI libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn
• Experience with graph databases and vector stores
• Knowledge of SQL and NoSQL databases

Preferred Qualifications:

• Education: B.Tech/B.E (IT) or higher