Solutions Architect

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