We are seeking a highly experienced Architect with 12+ years of experience.

The ideal candidate will have extensive technical expertise in Generative AI The candidates will play a crucial role in designing and implementing innovative solutions that drive business growth and efficiency.

Minimum Qualifications :

- 12+ years of IT experience.

- 3+ years in AI/ML, with at least 1-2 years in Agentic AI and multi-agent systems.

Skills & Abilities :

- Proficiency in Python.

- Experience with generative AI frameworks : TensorFlow, PyTorch, LangChain, OpenAI Codex, Claude, Gemini, Hugging Face.

- Strong grasp of ML/DL paradigms including supervised, unsupervised, and reinforcement learning.

- Familiarity with Agentic AI, Agent Observability, and Agent Lifecycle Management.

- Knowledge of MCP for context sharing and A2A for agent-to-agent communication.

- Cloud proficiency : AWS, Azure, GCP (especially Vertex AI, Agentspace).

- Understanding of MLOps, AIOps, and DevSecOps for agent deployment and monitoring.

- Ability to evaluate agentic architectures for deterministic vs autonomous use cases.

- Strong collaboration and leadership skills.

- Excellent communication and stakeholder engagement.

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 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.