AI Solution Architect​/AI Engineer

Position: AI Solution Architect / AI Engineer
Job Title:

Senior AI Engineer
Location :
Hyderabad
- Onsite
Exp: 10+years

Job Summary:

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.
5+ 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:
Tensor Flow, PyTorch, Lang Chain, 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 Dev Sec Ops  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.