AI Architect

Location:

Noida

Experience:

• 12 to 15 years We are seeking an experienced and hands-on Solution Architect to lead our AI/ML and GenAI solution initiatives.
• Lead the architecture and delivery of end-to-end Gen AI and automation solutions for financial services clients, leveraging Dailoqa’s proprietary agentic AI platform.
• Design, implement, and guide the delivery of technical solutions across diverse business domains, ensuring scalable, robust, and secure architectures.
• Leverage foundational knowledge of Gen AI to identify opportunities for innovation, automation, and enhanced user experience within projects.

Key Responsibilities:

⦁ Lead architecture and end-to-end design of enterprise-grade systems, integrating cloud platforms, APIs, and modern application frameworks to meet business objectives. ⦁ Translate client requirements and business goals into technical blueprints, balancing functional needs, scalability, security, and cost-effectiveness. ⦁ Collaborate with engineering teams to enforce best practices, architectural standards, and code quality throughout the development lifecycle. ⦁ Advise stakeholders on emerging technology trends, including the practical application of Gen AI models, while supporting pilot use cases or feature enhancements. ⦁ Conduct technology evaluations, facilitate design reviews, and recommend integration strategies for external platforms and services. ⦁ Lead technical design reviews, evaluate AI tools and APIs, and create system blueprints and data flows, ensuring modularity and scalability. ⦁ Guide, mentor, and upskill engineering teams on Gen AI patterns and responsible AI implementations. ⦁ Collaborate on solution co-creation with client stakeholders and cross-functional teams; demonstrate architectural options and trade-offs during proposals and delivery.

Skills:

⦁ 10–15 years of experience in technology architecture, system integration, or software engineering, ideally spanning multiple business domains. ⦁ Strong expertise in cloud solutions (AWS, Azure, or GCP), RESTful APIs, security, and platform scalability. ⦁ Exposure to Gen AI concepts and tools, willingness to explore AI-driven enhancement opportunities, and ability to collaborate with data science or R&D teams. ⦁ Proven leadership skills, stakeholder management ability, and strong verbal/written communication for technical and non-technical audiences. ⦁ Opportunity to drive foundational architectural decisions for business-critical systems. ⦁ Ability to shape how Gen AI is adopted and embedded within product and platform strategies.

Educational Qualification: ⦁ Bachelor's or Masters degree in Computer Science, Data Science, AI/ML, or related field. ⦁ Certifications in Azure AI, AWS ML, or Google AI will be an advantage