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
Solid proficiency in Python.
Hands-on experience with Azure AI Foundry (prompt flow, pipelines, evaluations).




Experience with Azure OpenAI Service (GPT models, embeddings, fine-tuning).
Robust 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.
Solid hands-on Azure AI Foundry experience is mandatory.
Candidate should have delivered production-grade GenAI solutions.
Leadership and mentoring capability are essential.Role & responsibilities

Preferred candidate profile

📌 Senior Ai Developer Hyderabad (India)
🏢 Shell Infotech
📍 India