Locations: Hyderabad / Indore

Experience: 12+ Years of IT Experience

AI Experience: 4+ Years in AI/ML, Generative AI, and Agentic AI

Notice Period: Immediate Joiners Preferred

Job Summary

We are looking for an experienced AI Architect to design and lead the development of scalable, secure, and enterprise-grade AI solutions. The ideal candidate should have strong experience in AI/ML, Generative AI, Agentic AI, Python, and AI solution architecture, with the ability to translate business requirements into practical AI solutions.

Key Responsibilities

- Design and architect end-to-end AI/ML, Generative AI, and Agentic AI solutions.
- Define AI architecture, technology strategy, frameworks, and implementation standards.
- Develop and implement LLM-based applications, AI agents, RAG solutions, and intelligent automation.
- Design scalable AI platforms and solutions using cloud technologies.
- Work closely with business, data, engineering, and product teams to identify AI use cases.
- Provide technical leadership and mentorship to AI/ML engineering teams.
- Evaluate and recommend AI models, frameworks, tools, and technologies.
- Design solutions integrating LLMs, APIs, vector databases, knowledge bases, and enterprise systems.
- Ensure AI solutions meet requirements related to security, scalability, performance, governance, and responsible AI.
- Stay updated with the latest developments in Generative AI, Agentic AI, LLMs, NLP, Machine Learning,



and AI platforms.

Required Skills
- 12+ years of overall IT experience.
- 4+ years of hands-on experience in AI/ML and Generative AI.
- Strong experience in Agentic AI and AI solution architecture.
- Strong programming skills in Python.
- Experience with Generative AI / LLMs, RAG, Prompt Engineering, AI Agents, and NLP.
- Strong understanding of Machine Learning and Deep Learning concepts.
- Experience with cloud AI services such as AWS / Azure / GCP.
- Experience with Vector Databases, Embeddings, APIs, and AI frameworks.
- Strong understanding of software architecture, microservices, APIs, and cloud-native application design.
- Excellent problem-solving, communication, and stakeholder-management skills.

Good to Have
- Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar AI frameworks.
- Experience with Azure OpenAI, AWS Bedrock, Google Vertex AI, or equivalent platforms.
- Knowledge of MLOps / LLMOps and AI governance.
- Experience implementing enterprise-scale AI solutions.
- Experience with Docker, Kubernetes, CI/CD, and DevOps.
- Exposure to AI security, responsible AI, and model evaluation.

Preferred Candidate Candidates with robust hands-on experience in AI Architecture + Generative AI + Agentic AI + Python, who can lead enterprise AI transformation initiatives, are preferred.

Immediate joiners are highly preferred.

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