GenAI Architect

4 days ago

Chennai, Tamil Nadu, India Cognizant Technology Solutions Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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.

3+ years in AI/ML, with at least 6 months in Agentic AI and multi-agent systems

Skills & Abilities:

  • 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.

Responsibilities:

  • 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

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