Artificial Intelligence Architect

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 modern 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.
• Good 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:

• Fast-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, competitive salary & perks with no constraint for the right talent.