Software Engineer - AI Builder

As an AI Builder, you will be a full-stack AI software engineer driving core AI innovation by leveraging cutting-edge tools and methodologies to deliver high-quality solutions rapidly. You will work at the intersection of executive strategy and technical execution, guiding a team of engineers to transform theoretical explorations into practical solutions while promoting a high-performance culture and advocating for process transformation through automation and AI technologies.

Roles & Responsibilities

• Analyze current processes with the Process Owner to identify challenges and opportunities for improvement.
• Architect and govern scalable, secure, and maintainable enterprise AI solutions.
• Coordinate business readiness and ensure all requirements are met through project documentation.
• Produce and centralize project documentation, including Solution Design Documents and API specifications.
• Promote a Lean Six Sigma mindset to encourage problem identification and quality improvement.
• Lead solution development using AI-powered IDEs and advanced code generation tools.
• Integrate AI models into existing systems and design robust APIs for seamless data flow.
• Drive the horizontal application of AI models across different business units.
• Collaborate with data science teams to operationalize AI models into production systems.
• Ensure security by design throughout the AI lifecycle.
• Drive agile delivery through iterative sprints and continuous feedback loops.
• Establish optimized CI/CD pipelines and DevOps practices for AI development.
• Communicate architectural trade-offs and technical decisions to leadership.
• Partner with stakeholders to ensure robust data governance and system integration.
• Evangelize AI best practices among peers.

Required Qualifications

• 6+ years of experience in software development and solution architecture.
• At least 3 years of hands-on experience in building Machine Learning models.
• 1+ years of experience with AI-powered development tools such as Cursor or GitHub Copilot.
• Deep proficiency in programming languages like Python, Java, TypeScript, or Go.
• Strong knowledge of microservices, APIs, containerization, and event-driven systems.
• Proven track record implementing Agile/Scrum and DevOps methodologies.
• Master's degree in Computer Science, Information Technology, AI, or a related field.
• Certifications such as AWS/Azure/GCP Solutions Architect or Lean Six Sigma.
• Experience in banking, fintech, or other regulated industries.
• Active contributions to open-source projects.
• Familiarity with MLOps principles and advanced understanding of LLM integration.