AI Solution Architect

Job Description

• Designing scalable, secure AI and data architecture solutions tailored to specific banking use cases.
• Translating banking business requirements into technical solutions.
• Creating and presenting reference architectures, solution designs, and technical roadmaps.
• Conducting technical discovery sessions to understand client challenges.
• Developing compelling proof-of-concepts and demos.
• Collaborating with product teams to influence the Intelligence Fabric roadmap.
• Guiding customers through the evaluation process.
• Staying current with emerging AI technologies and banking industry trends.

• 5+ years of experience architecting enterprise-scale data and AI solutions, with at least 3 years focusing on banking or financial services applications.
• Deep understanding of data lake architectures, data governance frameworks, and AI implementation strategies.
• Experience designing and implementing solutions utilizing large language models, agentic AI, and machine learning in banking contexts.
• Strong knowledge of cloud platforms (Azure, AWS, GCP) with emphasis on their AI and data services.
• Expertise in data security, privacy, and compliance requirements specific to the banking industry.
• Excellent communication skills with the ability to convey complex technical concepts to both technical and business audiences.
• Bachelor's or Master's degree in Computer Science, Data Science, or related field; relevant certifications are a plus.

• Opportunity to shape the future of AI in banking with industry-leading technology.
• Collaborative environment working alongside top talent in fintech.
• Exposure to diverse banking challenges across global markets.
• Professional development and continuous learning in emerging AI technologies.
• Competitive compensation package with performance incentives.