AI Architect

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 strong 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.