The Role
Lead the architecture and delivery of enterprise AI, ML, GenAI, automation, and integration solutions for financial services clients. Translate business requirements into scalable, secure, cost-effective technical blueprints; evaluate AI tools, APIs, cloud platforms, and external integrations; conduct design reviews; enforce architecture and engineering standards; and mentor teams on GenAI patterns and responsible AI. Collaborate with clients and cross-functional stakeholders to demonstrate solution trade-offs and guide AI adoption.
Summary Generated by Built In
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
Skills Required
- 10 to 15 years of experience in technology architecture, system integration, or software engineering
- Strong expertise in cloud solutions such as AWS, Azure, or GCP
- Strong expertise in RESTful APIs, security, and platform scalability
- Exposure to Generative AI concepts and tools
- Ability to collaborate with data science or R&D teams
- Proven leadership and stakeholder management skills
- Strong verbal and written communication skills for technical and non-technical audiences
- Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field
- Certifications in Azure AI, AWS ML, or Google AI
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The Company
What We Do
Dailoqa is a compliance-first, AI-native, engineering-powered consultancy that builds agentic, enterprise-scale AI solutions for regulated financial institutions. Focused exclusively on financial services — retail, investment banking, corporate, wealth and insurance — it delivers Broccoli™, a hyperscaler-agnostic platform for production-ready, regulation-aware workflows and deploys live solutions across multiple regions.
