Enterprise AI Architect

People Tech Group Inc; Hyderabad; On-site; INR 3,600,000 - 6,000,000; Full time

Benefits offered by this job

Health insurance

Food benefits

Job summary

People Tech Group Inc. seeks an experienced AI Architect to drive AI strategy, architect scalable enterprise solutions, and engage with stakeholders to translate business challenges into AI roadmaps.

The role emphasizes 70% strategic architecture and 30% hands-on development across on-prem and cloud environments, with expertise in Azure/AWS, GenAI, LLMs, and governance frameworks. Hybrid work and competitive benefits are offered.

Qualifications

• 12+ years IT experience in enterprise architecture.
• Strong background in AI, ML, CV, NLP.
• Hands-on Python with ML/DL frameworks.
• Experience with Azure and AWS and cloud/native architectures.
• Proven stakeholder engagement and solutioning workshops.
• Certifications in AWS, Azure, Databricks or AI/ML technologies preferred.

Responsibilities

• Architect AI solutions across on-prem and cloud environments.
• Work with business stakeholders to identify AI opportunities and define solution roadmaps.
• Design and deliver ML, CV, NLP, and GenAI solutions.
• Lead AI transformation initiatives and establish architectural best practices.
• Design RAG, Agentic AI, and LLM-based applications.
• Provide technical guidance and mentor engineering teams.
• Drive architecture discussions with customers and internal stakeholders.
• Ensure scalability, security, and governance of AI platforms.

Skills

AI Architecture

Data Science

Machine Learning

Computer Vision

NLP

Generative AI

MLOps/LLMOps

Azure & AWS

On-Prem & Cloud

Kubernetes

Databricks

LLMs

Tools

Databricks

MLflow

Kubernetes

LangChain

LangGraph

Vector Databases

PyTorch

TensorFlow

Job description

We are looking for an experienced AI Architect who can drive AI strategy and architect enterprise-scale solutions. The ideal candidate should possess strong expertise in Data Science, Machine Learning, Computer Vision, NLP, and Generative AI, along with the ability to engage with stakeholders and translate business challenges into scalable AI solutions.

This role requires approximately 70% strategic architecture and client interaction and 30% hands-on technical contribution.

Key Responsibilities

• Architect AI solutions across on-premise and cloud environments.
• Work with business stakeholders to identify AI opportunities and define solution roadmaps.
• Design and deliver Machine Learning, Computer Vision, NLP, and GenAI solutions.
• Lead AI transformation initiatives and establish architectural best practices.
• Design RAG, Agentic AI, and LLM-based applications.
• Provide technical guidance and mentor engineering teams.
• Drive architecture discussions with customers and internal stakeholders.
• Ensure scalability, security, and governance of AI platforms.

Required Skills

AI & Data Science

• Strong exposure to Data Science and Machine Learning.
• Hands-on experience in Computer Vision and NLP.
• Good understanding of Generative AI, LLMs, RAG, and Agentic AI.
• Experience with MLOps / LLMOps and model lifecycle management.
• Experience designing solutions across On-Prem and Cloud environments.
• Strong expertise in Azure and AWS (GCP experience is an added advantage).
• Experience with microservices and distributed architectures.
• Exposure to Databricks, MLflow, Kubernetes, and AI governance frameworks.

Technical Stack

• Python, PyTorch, TensorFlow, Scikit-Learn
• LangChain, LangGraph, Vector Databases
• Computer Vision frameworks and libraries

Preferred Qualifications

• 12+ years of IT experience with proven experience in enterprise solution architecture and stakeholder engagement.
• Strong foundation in Data Science, Machine Learning, Computer Vision, and NLP.
• Hands-on proficiency in Python with the ability to independently build and troubleshoot AI solutions.
• Experience with Generative AI, RAG, Agentic AI, and LLM-based applications.
• Expertise in architecting solutions across On-Prem and Cloud environments, with strong experience in Azure and AWS (GCP is an added advantage).
• Ability to balance strategic architecture (70%) with hands-on technical contribution (30%).
• Experience leading client discussions, solutioning workshops, and enterprise AI transformation initiatives.
• Relevant certifications in AWS, Azure, Databricks, or AI/ML technologies are preferred.

Why Join Us?

• Opportunity to work on diverse and cutting-edge technology innovative requirements.
• Collaborative and fast-paced work environment.
• Exposure to strategic initiatives and stakeholder management.
• Excellent growth and learning opportunities.
• Health insurance coverage for employees and family members
• Complimentary food benefits at the workplace.