We are looking for an AI Architect to join our enterprise platform engineering team and build high-quality, scalable, and production-grade AI platforms. The ideal candidate will have strong expertise in GenAI architecture, LLMOps, RAG, Agentic workflows, and cloud infrastructure, along with a passion for driving architectural trade-offs, enterprise security, and taking AI solutions from conception to production scale.

Key Responsibilities:

- Design, develop, and maintain scalable and multi-tenant enterprise AI and GenAI platforms.

- Build reusable, modular, and production-grade RAG pipelines, embeddings, and hybrid search solutions.

- Write clean, efficient, and well-structured orchestration workflows for multi-agent systems and tool calling.

- Integrate AI solutions with cloud and on-premise backend infrastructure using AWS or Azure services.

- Implement robust LLMOps, model observability, evaluation frameworks, and guardrails.

- Optimize applications for performance, token efficiency, scalability, and cost reduction.

- Troubleshoot, debug, and resolve platform architecture issues across development and production environments.

- Conduct architecture reviews and contribute to enterprise AI governance and Responsible AI standards.

- Write and maintain evaluation benchmarks to ensure high-quality and safe model delivery.

- Participate in technical discussions, build-vs-buy decisions, target architecture mapping, and stakeholder consulting.

Required Skills & Qualifications:





- 10+ years of overall experience in software engineering and cloud infrastructure development.

- Strong hands-on experience with GenAI architecture ownership and up-to-date production deployment practices.

- Excellent knowledge of Large Language Models (LLMs), vector databases, reranking, and hybrid search.

- Strong understanding of Agentic AI, including state management, orchestration frameworks, and workflows.

- Strong knowledge of LLMOps/MLOps pipelines, enterprise security, data privacy, and governance.

- Experience taking end-to-end AI solutions from architecture to production and enterprise scale.

- Valuable understanding of cloud architecture (AWS or Azure preferred) and hybrid/on-prem environments.

- Experience with model evaluation tools, testing frameworks, and continuous telemetry optimization.

- Familiarity with Git, CI/CD pipelines, and standard software development workflows.

- Strong understanding of architectural tradeoffs regarding cost, performance, and security.

- Good problem-solving, analytical, stakeholder-facing, and communication skills.

- Experience working in a large enterprise, industrial, or manufacturing data environment.

What We Offer:

- Rapid-growing AI-driven platform engineering environment.

- Exposure to complex enterprise scale and next-generation AI tools.

- High ownership, strategic architectural influence, and learning opportunities.

- Employee centric work culture, market-competitive salary & perks with no constraint for the right talent.

📌 Artificial Intelligence Architect (Hyderabad)
🏢 Nxtwave Disruptive Technologies (Hiring for a client)
📍 Hyderabad