WEX
Responsibilities
Lead and drive the development of technology and platform for the company's AI/ML engineering needs, ensuring the functional richness, reliability, performance, and flexibility of this platform.
Help design the architecture and lead the implementation of the AI/ML infrastructure, platform, and services.
Challenge the status quo and hold a high bar to drive for better technical solutions to effectively serve all needs in the broad risk area of Wex.
Guide your team to leverage data and/or AI technology or tools in your design and development for high productivity and better solution quality. Show strong thought leadership and influence your peers in this area.
Closely partner with other senior engineers across the organization at Wex to deeply understand business needs and jointly develop technical solutions.
Partner closely with information security teams to ensure the security and privacy of data, implementing encryption and access controls as required.
Collaborate with solutions architecture and LOB product and engineering orgs on integrations of the AI/ML Platform with their products/systems, ensuring reliable execution.
Engage with external partners and vendors to evaluate technologies and services that complement the company’s AI/ML strategy.
Create, prioritize, communicate, manage, and execute roadmaps, project plans, and commitments.
Report on the status of development, quality, operations, and system performance to management and partners.
Drive the technical vision and strategy of AI/ML infrastructure to serve business needs for the near and long term, closely partnering with Data Science and ML Engineering teams.
Set a high bar and provide technical guidance and effective training & mentorship to the engineering teams, fostering an environment of continuous learning and innovation.
Set clear, measurable quality goals for your group in a data-driven way.
Partner with the security org and SRE org to ensure continuous improvement and meeting of security requirements, SLOs, and error budget.
Take strong financial responsibility for your team.
Hold yourself and your team accountable for delivering quality results using defined OKRs.
Advise the Senior Leadership team on complex situations impacting the organization and lead teams through initiatives, driving excellent quality results.
Provide strategic thought leadership on business initiatives using your deep technical and business industry expertise.
Qualifications & Experience A technically deep and innovative Software Engineer leader able to act and deliver to business needs.
15-20 years of software design and development experience at a large scale.
Strong software development skills in a chosen programming language, with readiness to learn and program in Java and Python.
Good experience in building machine learning supervised and unsupervised models; experience in Reinforcement Learning is a plus.
Experience in using LLM models is a plus.
Broad understanding of distributed computing frameworks like Ray and Spark.
Demonstrable experience in Kubernetes and Terraform.
Experience with Sagemaker is a plus.
Broad understanding of cloud architecture tools and services, such as S3, EMR, Kubernetes, and Lambda functions; experience in AWS and Azure is highly desirable.
Deep technical expertise in architecture design, development, deployment, and production operation; familiar with agile software development and modern development tools.
Rich experience and deep expertise in Big Data and large-scale data platforms, especially in AI and ML.
Highly experienced with CI/CD automation.
Rich experience in combined engineering practice and agile development; experienced in leading and guiding teams.
Excellent analytical skills; capability in identifying and resolving complex problems.
An understanding of and experience in payment organizations is a plus.
A mentor to individual contributors of different seniority levels and expertise.
Ability to encourage and foster a culture of visibility and transparency across teams.
Strong written and verbal communication skills.
Strong philosophy of continuous improvement.
Bachelor's degree in Computer Science or a related field; a higher degree is a plus.
Leadership & Personal Characteristics Demonstrates a collaborative, engaging, mission-driven style with good listening skills combined with gravitas and self-confidence.
Champions a culture of high standards, embraces change, and challenges the status quo based on integrity and strong partnership.
Able to operate in a fast-paced entrepreneurial environment with a hands-on approach.
Communicates effectively in small and large group formats and articulates a compelling vision.
Possesses a high level of intellectual curiosity and learning agility.
Understands nuance and how to drive change through influence across a complex business.
#J-18808-Ljbffr
Help design the architecture and lead the implementation of the AI/ML infrastructure, platform, and services.
Challenge the status quo and hold a high bar to drive for better technical solutions to effectively serve all needs in the broad risk area of Wex.
Guide your team to leverage data and/or AI technology or tools in your design and development for high productivity and better solution quality. Show strong thought leadership and influence your peers in this area.
Closely partner with other senior engineers across the organization at Wex to deeply understand business needs and jointly develop technical solutions.
Partner closely with information security teams to ensure the security and privacy of data, implementing encryption and access controls as required.
Collaborate with solutions architecture and LOB product and engineering orgs on integrations of the AI/ML Platform with their products/systems, ensuring reliable execution.
Engage with external partners and vendors to evaluate technologies and services that complement the company’s AI/ML strategy.
Create, prioritize, communicate, manage, and execute roadmaps, project plans, and commitments.
Report on the status of development, quality, operations, and system performance to management and partners.
Drive the technical vision and strategy of AI/ML infrastructure to serve business needs for the near and long term, closely partnering with Data Science and ML Engineering teams.
Set a high bar and provide technical guidance and effective training & mentorship to the engineering teams, fostering an environment of continuous learning and innovation.
Set clear, measurable quality goals for your group in a data-driven way.
Partner with the security org and SRE org to ensure continuous improvement and meeting of security requirements, SLOs, and error budget.
Take strong financial responsibility for your team.
Hold yourself and your team accountable for delivering quality results using defined OKRs.
Advise the Senior Leadership team on complex situations impacting the organization and lead teams through initiatives, driving excellent quality results.
Provide strategic thought leadership on business initiatives using your deep technical and business industry expertise.
Qualifications & Experience A technically deep and innovative Software Engineer leader able to act and deliver to business needs.
15-20 years of software design and development experience at a large scale.
Strong software development skills in a chosen programming language, with readiness to learn and program in Java and Python.
Good experience in building machine learning supervised and unsupervised models; experience in Reinforcement Learning is a plus.
Experience in using LLM models is a plus.
Broad understanding of distributed computing frameworks like Ray and Spark.
Demonstrable experience in Kubernetes and Terraform.
Experience with Sagemaker is a plus.
Broad understanding of cloud architecture tools and services, such as S3, EMR, Kubernetes, and Lambda functions; experience in AWS and Azure is highly desirable.
Deep technical expertise in architecture design, development, deployment, and production operation; familiar with agile software development and modern development tools.
Rich experience and deep expertise in Big Data and large-scale data platforms, especially in AI and ML.
Highly experienced with CI/CD automation.
Rich experience in combined engineering practice and agile development; experienced in leading and guiding teams.
Excellent analytical skills; capability in identifying and resolving complex problems.
An understanding of and experience in payment organizations is a plus.
A mentor to individual contributors of different seniority levels and expertise.
Ability to encourage and foster a culture of visibility and transparency across teams.
Strong written and verbal communication skills.
Strong philosophy of continuous improvement.
Bachelor's degree in Computer Science or a related field; a higher degree is a plus.
Leadership & Personal Characteristics Demonstrates a collaborative, engaging, mission-driven style with good listening skills combined with gravitas and self-confidence.
Champions a culture of high standards, embraces change, and challenges the status quo based on integrity and strong partnership.
Able to operate in a fast-paced entrepreneurial environment with a hands-on approach.
Communicates effectively in small and large group formats and articulates a compelling vision.
Possesses a high level of intellectual curiosity and learning agility.
Understands nuance and how to drive change through influence across a complex business.
#J-18808-Ljbffr