AI Architect

TCS · Hyderabad

Source and collection record

Last observed by our collector: 9 October 2026 at 1:11 am IST. This is not a manual review or a confirmation from the employer.

Employer requisition: 425821

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Collected minimum qualification: BACHELOR OF ENGINEERINGAttendance and availability: I checked the employer page for work location, office attendance, start date and duration.Current requisition: I checked the current employer requisition and its application requirements.

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Collected role description

Skill- AI Architect Exp- 10+years Location- PAN India JD We are seeking a visionary AI Architect with 8–15 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 strong 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. Key Responsibilities: 🔷 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. Recommend architectural improvements and integration strategies for legacy systems. 🔷 Deploym ent & 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. <br <="" body="" /

Collected minimum qualification

BACHELOR OF ENGINEERING

Collected experience requirement

10 - 16 Years