AI Architect

Job Title: AI Architect

Experience Required: 8 to 15 Years
Role Overview: We are seeking a visionary AI Architect with 815 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

• 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

• 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

• 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.

Deployment & Integration

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

Leadership & Collaboration

• 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.

Must-Have Skills:

• Generative AI (Gen AI), Agentic AI
• AI Strategy, Architecture, and Roadmap Planning
• 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)
• AI Solution Assessment and Optimization

Experience with any of the following Cloud Native AI Services:

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

Qualifications:

• Bachelor’s or Master’s degree in Engineering or Technology.
• 8+ years of experience in AI/ML solutioning, with at least 3 years in architectural roles.
• Proven track record of delivering enterprise AI solutions at scale.
• Strong understanding of AI lifecycle, MLOps, and cloud-native architectures.
• Excellent communication, stakeholder management, and leadership skills.