Job Summary
We are seeking a highly experienced Architect with 12+ 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
12+ years of IT experience.
3+ years in AI/ML, with at least 1 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 explain ability standards.
- Stay ahead of emerging trends in agent marketplaces, agentic proctoring, and autonomous orchestration
