Role Overview :

Lead enterprise AI/ML solution architecture, full-stack Python development, system validation, technical governance, innovation through POCs, and the successful operation of production AI solutions.

Key Responsibilities :

- Lead end-to-end AI/ML and Generative AI solution development.

- Own enterprise solution architecture and technical design.

- Lead Python full-stack development using modern frameworks.

- Gather and validate technical requirements with business teams.

- Lead development of complex business requirements.

- Review code, architecture, and technical deliverables.

- Oversee AI model deployment, monitoring, and optimization.

- Ensure smooth operation and continuous improvement of existing AI solutions.

- Explore emerging AI technologies and build Proof of Concepts.

- Mentor development teams and establish engineering best practices.

- Coordinate with business users, implementation partners, and infrastructure teams.

Tech Stack :

- Python, FastAPI, Flask, Django

- React.js, Angular, Vue.js, HTML5, CSS3, JavaScript

- TensorFlow, PyTorch, Scikit-learn, LangChain, LangGraph, LlamaIndex

- OpenAI, Azure OpenAI, Vector Databases, RAG, AI Agents

- Azure, Azure DevOps, GitHub

- REST APIs, GraphQL, OAuth, Azure Functions, Logic Apps

Enterprise Integrations :

- Microsoft Dynamics 365 CRM, Microsoft D365 Finance & Operations, Microsoft Fabric, Power Platform, Azure AI Services, Third-party enterprise APIs

Education :

- BE/B.Tech in Computer Science/IT/AI or MCA/M.Tech

KPIs :

- AI solution availability, Project delivery on schedule, POCs converted into production, AI model accuracy and performance, Production incident reduction, Code quality and security compliance, Business stakeholder satisfaction