AI Solutions Architect
3 days ago
AI Solution Architect
Loc: Hyderabad – 5days work from 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
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