Solutions Architect

AI Solution Architect

Loc : Hyd – 5days office

Exp : 12+years

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 1-2 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