AI Solution Architect

We are looking for an experienced AI Solution Architect responsible for designing scalable, enterprise-grade AI and data solutions within AI-native delivery pods. In this role, you will act as a pivotal bridge—ensuring perfect alignment between business objectives, product requirements, and technical architecture while driving the implementation of modern Data & AI platforms.

• Deep understanding of AI engineering patterns like RAG, agentic workflows, and hybrid AI systems using frameworks such as LangChain, Semantic Kernel, and LlamaIndex
• Proven experience with MLOps / LLMOps pipelines, evaluation frameworks, feedback loops, vector databases, and embedding pipelines
• Hands-on familiarity with Databricks and Snowflake, ETL/ELT pipelines (both batch and streaming processing), data modeling, and semantic layers
• High-level awareness of business intelligence tools like Power BI, Qlik, and Qlik Sense
• Solid track record as a Solution Architect or Lead Engineer specializing in enterprise-grade Data & AI systems
• Strong communication skills with the ability to articulate complex technical concepts to non-technical business stakeholders and Product Leads
• Proactive focus on enterprise-grade security, scalability, performance tuning, and data governance

End-to-End Architecture:

• Define and design comprehensive, scalable architecture for enterprise AI and data solutions

AI-Native Innovations:

• Design advanced AI-native patterns including RAG, agentic workflows, and robust data pipelines

Bridge Product & Tech:

• Translate complex business objectives and product requirements into clear, executable technical designs

Engineering Mentorship:

• Guide and mentor engineering teams on implementation standards, coding guidelines, and best practices

Governance & Principles:

• Define, implement, and enforce strict architecture principles and data governance frameworks

Cross-functional Collaboration:

• Partner closely with Product Leads, Data Architects, and Engineers to ensure seamless delivery

Quality Assurance:

• Guarantee the highest standards of scalability, high performance, and robust security across all solutions

Tech Selection:

• Support and lead technology evaluation, selection, and platform-level decisions