We are seeking a hands-on Technical Architect to define & develop the technical vision & implementation approach for our most ambitious projects, such as Retirement Solutions.
In this role, you will hold strategic responsibility for project architecture, looking beyond immediate feature delivery to design scalable, resilient systems capable of handling complex financial workflows. Acting as the bridge between business goals and engineering execution, you will ensure our technical choices support long-term scalability & stability while adhering to strict regulatory standards.
Design System Architecture: Translate complex business requirements into robust, scalable technical designs for the retirement vertical.
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Develop scalable software, APIs, and automation workflows that improve performance, reliability, usability, and engineering productivity.
Design and integrate AI-assisted solutions, including machine learning and generative AI technologies, to automate engineering workflows, improve model extraction accuracy, and accelerate device modeling.
Collaborate with device modeling engineers and cross-functional teams to deliver innovative software solutions that meet customer and business requirements.
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Develop scalable software, APIs, and automation workflows that improve performance, reliability, usability, and engineering productivity.
Design and integrate AI-assisted solutions, including machine learning and generative AI technologies, to automate engineering workflows, improve model extraction accuracy, and accelerate device modeling.
Collaborate with device modeling engineers and cross-functional teams to deliver innovative software solutions that meet customer and business requirements.
...
Develop scalable software, APIs, and automation workflows that improve performance, reliability, usability, and engineering productivity.
Design and integrate AI-assisted solutions, including machine learning and generative AI technologies, to automate engineering workflows, improve model extraction accuracy, and accelerate device modeling.
Collaborate with device modeling engineers and cross-functional teams to deliver innovative software solutions that meet customer and business requirements.
...
Code Quality: Conduct code reviews, write unit/integration tests, and adhere to industry best practices for continuous integration and deployment (CI/CD).
Problem Solving: Diagnose and resolve production bottlenecks, bugs, and performance issues to ensure high availability and optimization.
Education: Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
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Apply basic AI/ML and neural-network concepts, including embeddings, retrieval, model evaluation, surrogate-model awareness, and data preparation for engineering use cases.
Participate in code reviews, testing, documentation, debugging, and continuous improvement of production software quality.
Bachelor’s or master’s degree in computer science, electrical engineering, software engineering, artificial intelligence, applied mathematics, or a related technical field.
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