AI Architect

Role Brief :
As an 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.
Job Description :
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
· B.Tech,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

Work arrangement
Hybrid