GenAI Architect

Job Summary

We are seeking a highly experienced Architect with 10 to 15 years of experience. The ideal candidate will have extensive technical expertise in Generative AI The candidate will play a crucial role in designing and implementing innovative solutions that drive business growth and efficiency.

Minimum Qualifications

• 10+ years of IT experience.
  
  

• Proficiency in Python, Java, C#, or R.
• Experience with generative AI frameworks: TensorFlow, PyTorch, LangChain, OpenAI Codex, Claude, Gemini, HuggingFace.
• Strong grasp of ML/DL paradigms including supervised, unsupervised, and reinforcement learning.
• Familiarity with AgentOps, Agent Observability, and Agent Lifecycle Management
• Knowledge of MCP for context sharing and A2A for agent-to-agent communication.
• Experience with Shared Memory and Agentic Workflow Orchestration.
• Cloud proficiency: AWS, Azure, GCP (especially Vertex AI, Agentspace, ADK).
• Understanding of MLOps, AIOps, and DevSecOps for agent deployment and monitoring.
• Data governance and ethical AI principles.
• Ability to evaluate agentic architectures for deterministic vs autonomous use cases.
• Strong collaboration and leadership skills.
• Excellent communication and stakeholder engagement.
• Familiarity with agile and SDLC methodologies.
  
  

• Architect and implement Generative AI and Agentic AI ecosystems using MCP and A2A protocols.
• Design modular, scalable agent frameworks with contextual reasoning, shared memory, and multi-agent orchestration
• Lead development of domain-specific agents (e.g., Customer Service Agen, Tax Agent, Media Agent, Knowledge Agent) and cross-functional agents (e.g., Orchestrator, Collaboration Agent).
• Evaluate agent performance using metrics like time to first token, inter-token latency, and context length.
• Collaborate with product and platform teams to embed agents across enterprise workflows (e.g., SDLC, LMS, CRM, ERP).
• Ensure compliance with security, privacy, and explainability standards.
• Stay ahead of emerging trends in agent marketplaces, agentic proctoring, and autonomous orchestration