Job Description

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