Technical Lead

Job Responsibility

AI Application Architecture & Development

• Design and implement AI-powered applications using Azure OpenAI, Cognitive Services, Azure ML, and Bot Framework.
• Architect scalable AI solutions with microservices, APIs, and event-driven architectures.
• Lead AI model fine-tuning, deployment, and integration into enterprise applications.
• Define best practices for AI-based automation, RAG-based search, and multimodal AI applications.

Pre-Sales & AI Solutioning

• Collaborate with sales teams to identify AI opportunities and define business cases.
• Respond to RFPs, RFIs, and customer queries with AI-based solution proposals.
• Conduct POCs, workshops, and demos to showcase AI application capabilities.

AI Application Deployment & MLOps

• Establish MLOps pipelines for model deployment, monitoring, and continuous improvement.
• Optimize AI models for low-latency inference, cost efficiency, and security.
• Implement best practices for AI observability, logging, and performance tuning.

AI Governance, Security & Compliance

• Ensure AI applications follow Responsible AI principles, compliance standards (GDPR, HIPAA), and security best practices.
• Implement model explainability, bias detection, and ethical AI frameworks.

Collaboration & Leadership

• Lead cross-functional teams, including AI engineers, developers, and data scientists.
• Work closely with Microsoft Cloud Solution Architects and engineering teams to align AI application strategies.
• Drive AI adoption within enterprises by mentoring teams and providing technical leadership.

• Minimum Qualification
• Bachelors or masters degree in computer science, Engineering, or a related field.
• Experience
• Total 5+ Years of Experience, AI Experience 1 Years
• Job Duties:
• AI Application Design & Development:

• Architect and develop AI-driven applications using Azure AI services.
• Design API-first, cloud-native, and event-driven architectures for AI workloads.
• Ensure AI models are optimized, containerized (Docker, Kubernetes), and deployed in production.

Pre-Sales & Solutioning:

• Identify AI use cases and develop solution roadmaps for customers.
• Lead AI discovery sessions, workshops, and proof-of-concepts (POCs).
• Prepare and present AI architecture proposals, cost models, and business impact analysis.

Deployment & AI Lifecycle Management:

• Implement MLOps pipelines for CI/CD, monitoring, and retraining of AI models.
• Optimize AI models for performance, cost, and scalability.
• Ensure AI applications adhere to cloud governance, security, and compliance frameworks.

Stakeholder Engagement & Thought Leadership:

• Act as a trusted AI advisor to clients, sales teams, and senior leadership.
• Collaborate with Microsofts AI ecosystem to leverage the latest Azure AI innovations.
• Conduct knowledge-sharing sessions, webinars, and internal AI upskilling initiatives.

Skills Preferred:

Technical Skills

• Expertise in Azure AI services, including Azure OpenAI, Cognitive Services, Azure Machine Learning, and Azure AI Studio.
• Proficiency in application development using Python, .NET, C#, or Node.js.
• Experience with MLOps, DevOps, and CI/CD pipelines for AI model deployment.
• Strong understanding of RESTful APIs, GraphQL, and event-driven architectures such as Azure Functions, Event Grid, and Service Bus.
• Familiarity with Azure Data Factory, Databricks, Synapse Analytics, and vector databases like FAISS and Pinecone.
• Knowledge of AI model security, data privacy, and responsible AI frameworks.

Business & Pre-Sales Skills

• Ability to design AI-based solutions aligned with business needs.
• Strong communication skills to engage C-level executives and technical teams.
• Experience in driving AI adoption across enterprise applications.

Soft Skills

• Ability to break down complex AI problems into scalable solutions.
• Experience in leading multi-disciplinary AI teams.
• Passion for staying updated with the latest AI advancements.

Preferred Certifications

• Microsoft Certified: Azure AI Engineer Associate
• Microsoft Certified: Azure Solutions Architect Expert
• Microsoft Certified: Azure Data Scientist Associate