Principal Software Engineer - Digital Transformation & AI Customer Experience (US)

TD-posted 4 days ago
$153,920 - $230,880/Yr
Full-time • Senior
New York, NY
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We are seeking a visionary Principal Engineer to spearhead transformational initiatives across our digital banking ecosystem, leveraging cutting-edge AI technologies to revolutionize customer experience. This role combines deep technical expertise in full-stack development with advanced AI/ML knowledge to architect next-generation solutions spanning mobile, web, and mid-tier services.

  • Define and implement transformational patterns for modernizing legacy systems while maintaining business continuity.
  • Design scalable architectures spanning mobile applications, web platforms, and mid-tier services with seamless integration geared towards AI utilization.
  • Drive adoption of emerging technologies and architectural patterns that enhance scalability, performance, and maintainability.
  • Establish comprehensive API-first design principles, including GraphQL, REST, and event-driven architectures.
  • Architect and implement AI/ML solutions that enhance customer interactions across all digital touchpoints.
  • Design intelligent personalization systems that adapt to customer behavior and preferences in real-time.
  • Implement ML models for customer journey optimization, churn prediction, and proactive service delivery.
  • Integrate conversational AI, chatbots, and voice interfaces to create intuitive customer interactions.
  • Define mobile development strategies for AMCB Digital including native iOS/Android, and/or cross-platform implementations.
  • Lead development of PWA capabilities that bridge mobile and web experiences.
  • Implement advanced performance optimization techniques including lazy loading, caching strategies, and CDN optimization.
  • Ensure seamless experiences across devices with adaptive UI/UX patterns.
  • Architect scalable microservices ecosystems with proper service boundaries and communication patterns.
  • Implement event streaming and messaging architectures for real-time data processing and customer engagement.
  • Design robust data pipelines that support AI/ML model training and real-time inference.
  • Research and prototype cutting-edge technologies including generative AI integration.
  • Implement advanced analytics to understand and optimize customer behavior patterns.
  • Design sophisticated experimentation platforms for continuous customer experience optimization.
  • Establish MLOps practices for model deployment, monitoring, and continuous improvement.
  • Undergraduate degree, Post Graduate degree or Technical Certificate.
  • Strong academic background (e.g., computer science, engineering).
  • 15 years relevant experience.
  • 8+ years of experience in full-stack development with 3+ years in senior/principal engineering roles.
  • Expert knowledge in multiple programming languages (Python, JavaScript/TypeScript, Java, Swift, Kotlin).
  • Advanced experience with AI/ML frameworks and cloud AI services.
  • Strong background in web and mobile development.
  • Modern web frameworks expertise (React, Vue.js, Angular, Node.js).
  • Experience with real-time analytics and streaming platforms (Kafka, Spark).
  • Knowledge of design systems and component libraries.
  • Experience with A/B testing platforms and experimentation frameworks.
  • Understanding of accessibility standards and inclusive design.
  • Experience in regulated industries or enterprise environments.
  • Graduate degree.
  • Cloud certifications with focus on AI/ML services.
  • Deep understanding of ML algorithms, deep learning, and neural network architectures.
  • Experience with natural language processing and recommendation systems.
  • Knowledge of MLOps practices, model versioning, and continuous deployment.
  • Familiarity with generative AI, large language models, and prompt engineering.
  • Understanding of AI ethics, bias detection, and responsible AI practices.
  • Proven experience designing large-scale, distributed systems.
  • Expertise in microservices architecture, API design, and event-driven systems.
  • Knowledge of database technologies (SQL, NoSQL, Vector databases).
  • Understanding of caching strategies, CDNs, and performance optimization.
  • Experience with containerization and orchestration technologies.
  • Track record of leading digital transformation initiatives.
  • Excellent communication skills with ability to influence technical direction.
  • Experience mentoring engineering teams and establishing technical standards.
  • Ability to translate business requirements into technical solutions.
  • Strong analytical and problem-solving capabilities.
  • Base salary and variable compensation/incentive awards.
  • Health and well-being benefits.
  • Savings and retirement programs.
  • Paid time off (including Vacation PTO, Flex PTO, and Holiday PTO).
  • Banking benefits and discounts.
  • Career development opportunities.
  • Reward and recognition programs.
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