Sr.AI Architect

About Dailoqa

Dailoqa’s mission is to bridge human expertise and artificial intelligence to solve the challenges facing financial services.

Our founding team of 20+ international leaders, including former CIOs and senior industry experts, combines extensive technical expertise with decades of real-world experience to create tailored solutions that harness the power of combined intelligence.

With a focus on Financial Services clients we have deep expertise across Risk & Regulations, Retail & Institutional Banking, Capital Markets, and Wealth & Asset Management. Dailoqa has global reach in UK, Europe, Africa, India, ASEAN, and Australia.

We integrate AI into business strategies to deliver tangible outcomes and set new standards for the financial services industry.

Working at Dailoqa will be hard work, our environment is fluid and fast-moving and you'll be part of a community that values innovation, collaboration, and relentless curiosity.

We’re looking at people who :

·       Are proactive, curious adaptable, and patient

·       Shape the company's vision and will have a direct impact on its success.

·       Have the opportunity for fast career growth.

·       Have the opportunity to participate in the upside of an ultra-growth venture.

·       Have fun 🙂

Don’t apply if:

·       You want to work on a single layer of the application.

·       You prefer to work on well-defined problems.

·       You need clear, pre-defined processes.

·       You prefer a relaxed and slow paced environment.

Our Philosophy

Small team

Simple where possible:

Customer obsessed:

Role Brief :

As a Senior AI Architect at Dailoqa, you will play a pivotal role in shaping, designing, and delivering agentic AI solutions that drive real-world business value. You will collaborate with business and technology stakeholders, lead cross-functional teams, and ensure our AI architectures are robust, scalable, and aligned with our vision of combined intelligence and financial inclusion.

• Agentic AI Solution Design

• Collaborate with stakeholders to identify high-impact agentic AI use cases, define success metrics, and determine data requirements tailored to Financial Services clients.
• Architect and oversee the implementation of end-to-end agentic AI solutions aligned with Dailoqa’s strategic objectives and client needs.

• Leadership & Cross-Functional Collaboration

• Lead and mentor cross-functional teams in the development and deployment of scalable agentic AI applications and infrastructures.
• Work closely with business stakeholders to translate complex requirements into actionable AI architecture and technical roadmaps.

• Technology Evaluation & Governance

• Evaluate, recommend, and integrate advanced AI/ML platforms, frameworks, and technologies that enable agentic AI capabilities.
• Develop and enforce AI governance frameworks, best practices, and ethical standards, ensuring compliance with industry regulations and responsible AI principles.

• Performance Optimization & Continuous Improvement

• Optimize AI models for performance, scalability, and efficiency, leveraging cloud-native and distributed computing resources.
• Stay ahead of emerging trends in agentic AI, machine learning, and data science, applying new insights to enhance solution quality and business impact.

• Technical Leadership & Talent Development

• Provide technical leadership, mentorship, and code review for junior and peer team members.
• Participate in the hiring, onboarding, and development of AI talent, fostering a culture of innovation and excellence.
• Lead sprint planning, technical assessments, and ensure high standards in code quality and solution delivery.

Required Qualifications:

·       15+ years of Total experience. 8+ years  in machine learning, and data science and more recent experience ( 4-5 yrs) in gen AI models applying AI to practical, comprehensive technology solutions and AI Consultancy

• Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
• Experience in implementing GenAI, NLP, computer vision, or other AI frameworks/ technologies

Tools & Technology :

LLMs and implementing RAG or different prompt strategies

Azure OpenAI, Off the shelf Platform native AI tools and Models

Knowledge or ML pipeline orchestration tools

Experienced in python; ideally working knowledge of various supporting packages

Experience in REST API development, NoSQL database design, and RDBMS design and optimizations

Strong experience in Data engineering and aligned Hyperscale Platforms e.g. Databricks, Synapse, Fivetran etc.

Education and Others Skills

·       Master's or Ph.D. in Computer Science, Data Science, or related field

·       Extensive experience with modern AI frameworks, cloud platforms, and big data technologies

·       Strong background in designing and implementing AI solutions for enterprise-level applications

·       Proven ability to lead and mentor technical teams

·       Excellent communication skills with the ability to explain complex AI concepts to both technical and non-technical audiences

·       Deep understanding of AI ethics and responsible AI practices