AI Expert Needed: Azure-Based Agentic + Generative AI Solution with Strategic Mentorship & Optimization
Budget: ₹2,000 – ₹30,000 INR
AI Expert Needed: Azure-Based Agentic + Generative AI Solution with Strategic Mentorship & Optimization
Role Type: Consultant & Mentor
Project Type: Collaborative Architecture + Guided Execution
Location Preference: Remote
Duration: 4–8 weeks (extendable based on roadmap)
Budget: Flexible based on expertise and impact
We are an IT-led organization based in India, preparing to implement a cloud-native, in-house AI solution using Microsoft Azure. The solution will integrate:
- Agentic AI (autonomous task execution, multi-agent orchestration)
- Generative AI (LLMs, embeddings, content generation)
- Solution Optimization (cost, performance, scalability, and maintainability)
I will be stepping into the role of AI Architect for this initiative. While I have strong conceptual knowledge of AI, I’m seeking real-time, hands-on experience through guided collaboration with a senior AI expert.
What We’re Looking For:
An experienced AI professional who can:
- Architect and co-design an Azure-native AI solution using services like Azure OpenAI, Azure ML, Cognitive Services, and Vector Search
- Guide implementation of Agentic AI workflows
- Help build and fine-tune Generative AI modules for internal use cases (e.g., summarization, Q&A, content generation)
- Optimize the solution for cost-efficiency, latency, scalability, and resource utilization
- Assist with data pipelines, model deployment, and tool integration
- Provide weekly handholding sessions (screen sharing, walkthroughs, Q&A)
- Review and refine my work to ensure enterprise-grade execution.
Deliverables:
- Co-created architecture and implementation roadmap (Azure-based)
- Working prototype or proof-of-concept AI module (Agentic + Gen AI)
- Optimization strategy for performance, cost, and scalability
- Knowledge transfer sessions (recorded if possible)
- Strategic advice on scaling, security, and future-proofing
Role Type: Consultant & Mentor
Project Type: Collaborative Architecture + Guided Execution
Location Preference: Remote
Duration: 4–8 weeks (extendable based on roadmap)
Budget: Flexible based on expertise and impact
We are an IT-led organization based in India, preparing to implement a cloud-native, in-house AI solution using Microsoft Azure. The solution will integrate:
- Agentic AI (autonomous task execution, multi-agent orchestration)
- Generative AI (LLMs, embeddings, content generation)
- Solution Optimization (cost, performance, scalability, and maintainability)
I will be stepping into the role of AI Architect for this initiative. While I have strong conceptual knowledge of AI, I’m seeking real-time, hands-on experience through guided collaboration with a senior AI expert.
What We’re Looking For:
An experienced AI professional who can:
- Architect and co-design an Azure-native AI solution using services like Azure OpenAI, Azure ML, Cognitive Services, and Vector Search
- Guide implementation of Agentic AI workflows
- Help build and fine-tune Generative AI modules for internal use cases (e.g., summarization, Q&A, content generation)
- Optimize the solution for cost-efficiency, latency, scalability, and resource utilization
- Assist with data pipelines, model deployment, and tool integration
- Provide weekly handholding sessions (screen sharing, walkthroughs, Q&A)
- Review and refine my work to ensure enterprise-grade execution.
Deliverables:
- Co-created architecture and implementation roadmap (Azure-based)
- Working prototype or proof-of-concept AI module (Agentic + Gen AI)
- Optimization strategy for performance, cost, and scalability
- Knowledge transfer sessions (recorded if possible)
- Strategic advice on scaling, security, and future-proofing