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: 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.