
Chief Agentic AI Strategist
4 hours ago
Dailoqa bridges human expertise and AI to tackle financial services challenges.
This role involves shaping, designing, and delivering agentic AI solutions for real-world business value.
You will collaborate with 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:
- You will work with stakeholders to identify high-impact agentic AI use cases, define success metrics, and determine data requirements tailored to financial clients.
- You will architect and oversee the implementation of end-to-end agentic AI solutions aligned with our strategic objectives and client needs.
- Leadership & Cross-Functional Collaboration:
- You will lead and mentor cross-functional teams in developing and deploying scalable agentic AI applications and infrastructures.
- You will work closely with business stakeholders to translate complex requirements into actionable AI architecture and technical roadmaps.
- Technology Evaluation & Governance:
- You will evaluate, recommend, and integrate advanced AI/ML platforms, frameworks, and technologies that enable agentic AI capabilities.
- You will develop and enforce AI governance frameworks, best practices, and ethical standards, ensuring compliance with industry regulations and responsible AI principles.
- Performance Optimization & Continuous Improvement:
- You will optimize AI models for performance, scalability, and efficiency, leveraging cloud-native and distributed computing resources.
- You will 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:
- You will provide technical leadership, mentorship, and code review for junior and peer team members.
- You will participate in hiring, onboarding, and developing AI talent, fostering a culture of innovation and excellence.
- You will lead sprint planning, technical assessments, and ensure high standards in code quality and solution delivery.
Required Skills and Qualifications:
- A minimum of 15 years of total experience.
- At least 8 years in machine learning, data science, and recent experience (4-5 years) in general AI models applying AI to practical technology solutions and AI consultancy.
- Knowledge of basic algorithms, object-oriented design principles, and best-practice patterns.
Benefits:
Leverage cutting-edge technologies like LLMs, Azure OpenAI, and native AI tools and models.
Gain experience with ML pipeline orchestration tools and Python development.
Develop skills in REST API development, NoSQL database design, RDBMS design and optimizations, and Data engineering.
Education and Other Skills:
- A Master's or Ph.D. in Computer Science, Data Science, or a related field.
- Extensive experience with modern AI frameworks, cloud platforms, and big data technologies.
- A 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.
- A deep understanding of AI ethics and responsible AI practices.
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