Senior AI Developer

Shell Infotech; Hyderabad; Hybrid; INR 3,500,000 - 6,000,000; Full time

Job summary

Shell Infotech in Hyderabad seeks a senior AI/ML technical leader to design, develop, and deploy Generative AI solutions using Azure AI Foundry. You will define AI architecture, establish technical standards, and steer Responsible AI, governance, security, and compliance across projects.

You will mentor AI engineers, collaborate with business, cloud, data and product teams, present strategy and delivery outcomes to leadership, and oversee the end-to-end AI lifecycle from experimentation to

Skills

AI/ML design

AI architecture

AI lifecycle

Responsible AI

Mentor AI

Cross-functional teams

AI strategy

Model performance

Python

Azure AI Foundry

Azure OpenAI

LLMs

RAG architectures

Vector databases

Prompt engineering

Azure ML

MLOps

REST APIs

Containers

Team leadership

Stakeholder mgmt

Code reviews

GenAI production

Tools

Azure AI Foundry

Azure OpenAI Service

Azure ML

REST APIs

Containers

LLMs

Prompt engineering

MLOps

Vector databases

GPT models

Job description

Technical Skills Mandatory

• Lead design, development, and deployment of AI/ML and Generative AI solutions using Azure AI Foundry.
• Define AI architecture and technical standards leveraging Azure AI services and Azure OpenAI.
• Drive end-to-end AI lifecycle including experimentation, evaluation, deployment, monitoring, and optimization.
• Guide teams on Responsible AI, governance, security, and compliance.
• Mentor AI engineers and provide technical leadership across projects.
• Collaborate with business, cloud, data, and product teams.
• Present AI strategy, delivery updates, and outcomes to leadership.
• Ensure model performance, scalability, security, and ethical AI compliance
• Collaborate with cross-functional teams to deliver end-to-end AI solutions
• Strong proficiency in Python.
• Hands-on experience with Azure AI Foundry (prompt flow, pipelines, evaluations).
• Experience with Azure OpenAI Service (GPT models, embeddings, fine-tuning).
• Strong expertise in LLMs, RAG architectures, vector databases, and prompt engineering.
• Experience with Azure Machine Learning, MLOps, and cloud-native deployments.
• Knowledge of REST APIs, containers, and scalable architectures.
• Proven experience leading AI/ML teams and enterprise AI projects.
• Strong stakeholder management and communication skills.
• Ability to mentor, review designs, and enforce best practices.
• Strong hands-on Azure AI Foundry experience is mandatory.
• Candidate should have delivered production-grade GenAI solutions.
• Leadership and mentoring capability are essential.