AI Architect -4 Positions

Experience: 12+ Years (Minimum 3+ Years in AI Native Architecture)

Employment Type: Contract

Role: Technical Lead | Client Facing

Key Responsibilities

- Design and architect enterprise-scale AI Native solutions for cloud and on-premises environments.
- Build scalable AI architectures using Generative AI, Agentic AI, RAG, and Large Language Models (LLMs).
- Design intelligent AI applications leveraging embeddings, vector databases, prompt engineering, memory management, and AI orchestration frameworks.
- Define AI architecture standards, reusable frameworks, and best practices across enterprise applications.
- Develop AI integrations using Azure OpenAI and other cloud-native AI services.
- Evaluate, fine-tune, and optimize LLMs for enterprise use cases.
- Lead technical discussions with clients, business stakeholders,



and engineering teams.
- Mentor development teams and provide architectural guidance throughout the SDLC.
- Drive innovation through Proof of Concepts (POCs), research, and adoption of emerging AI technologies.

Required Skills

- AI Native Architecture
- Generative AI
- Agentic AI Frameworks
- Retrieval Augmented Generation (RAG)
- Large Language Models (LLMs)
- Prompt Engineering
- Memory Management
- AI Agents
- Azure OpenAI Services
- Cloud Architecture (Azure Preferred)
- Solution Architecture
- API Integration
- Technical Design
- Client & Stakeholder Management
- Technical Leadership
- Excellent Communication Skills

📌 AI Architect - Generative AI/ Agentic AI/ RAG/ Large Language Models (Hyderabad)
🏢 Techservices Partners
📍 Hyderabad