Role Overview:

We are seeking a visionary AI Architect with 8 to 15 years of experience to lead the strategic design and implementation of enterprise-scale AI solutions. This role requires deep expertise in Generative AI, Agentic AI, and Responsible AI, along with a solid foundation in AI architecture, solution assessment, and cloud-native AI platforms. The AI Architect will define the roadmap, assess existing systems, and guide cross-functional teams in building scalable, secure, and ethical AI systems.

Strategy & Roadmap (Optional)

- Define and drive the AI strategy, aligning with business goals and innovation priorities.
- Develop and maintain the AI solution roadmap, including short-term deliverables and long-term vision.
- Evaluate emerging AI trends and technologies to inform strategic direction.

Architecture & Design (Mandatory)

- Architect end-to-end AI solutions using Gen AI, Agentic AI, LLMs, and multi-modal AI.
- Design intelligent agent systems using LangChain, LangGraph, Model Context Protocol (MCP), and Agent to Agent Protocols.
- Establish scalable and modular AI architectures that support RAG pipelines, Vector DBs, and Embeddings.
- Define and enforce AI governance frameworks, including Responsible AI, GuardRails, and compliance with AI Ethics & Regulations.

Assessment & Optimization (Good to have)

- Conduct technical assessments of existing AI/ML systems, models, and data pipelines.
- Identify gaps, risks, and opportunities for modernization or enhancement.
- Recomme nd architectural improvements and integration strategies for legacy systems.





Deployment & Integration (Mandatory)

- Lead deployment of AI models using Docker, Kubernetes, and MLOps best practices.
- Integrate AI solutions with enterprise platforms and ANY ONE cloud-native services (Azure, AWS, GCP).
- Ensure performance, scalability, and security of deployed AI systems.

Leadership & Collaboration (Good to have)

- Collaborate with product owners, data scientists, engineers, and business stakeholders.
- Mentor engineering teams and contribute to talent development in AI and ML domains.
- Represent AI architecture in enterprise governance forums and technical councils.

Technical Skills:

- Generative AI (Gen AI), Agentic AI
- Python Programming
- AI Frameworks (LangChain, AutoGen, CrewAI and LangGraph)
- Model Context Protocol (MCP), Agent to Agent Protocol
- GuardRails, AI Ethics and Regulations
- Prompt Engineering, Responsible AI
- Distillation, RAG, Fine-tuning
- Multi-modal AI, LLMs
- Vector Databases, Embeddings
- GenAI deployment tools (Docker, Kubernetes)

Experience with ANY ONE of the following Cloud Native AI Services:

- Azure AI: Foundry, Agents, Search, Bot Services
- AWS AI: Bedrock, Amazon Q, Amazon SageMaker
- Google Cloud Platform (GCP) AI: Vertex AI, Model Garden, Agentspace, Agent Engine

Qualifications:

- Bachelors or Masters degree in Engineering or Technology.
- 8+ years of experience in AI/ML solutioning, with at least 2 years in architectural roles.
- Understanding of AI lifecycle, MLOps, and cloud-native architectures.
- Excellent communication, stakeholder management, and leadership skills.

📌 Artificial Intelligence Architect (Telangana)
🏢 Tata Consultancy Services
📍 Telangana