AI Architect

Role: Solution Architect. Skills: Artificial Intelligence. Experience: 10 - 16 Years. Qualification: Bachelor Of Engineering

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.