Job Title: Principal AI/ML Engineer

Learn more about the general tasks related to this opportunity below, as well as required skills. Position Type: Full-Time / Permanent Location: Remote (Must be based in Bay Area, Chicago, Boston, Portland ME, or Seattle for occasional in-person collaboration) Salary Range: $230,000 – $295,000 + Bonus + RSU + Comprehensive Benefits Job ID#: 155324 Job Description: As a Principal AI/ML Engineer, you will play a foundational role in designing, building, and scaling production-grade machine learning platforms for a global leader in payments and financial technology. This is a high-impact leadership opportunity for an experienced engineering professional who thrives on driving innovation in AI/ML infrastructure, distributed systems, and data platforms. You will define the technical roadmap, lead implementation, and collaborate with cross-functional teams to operationalize real-time ML services at scale. Responsibilities: Architect and lead development of scalable AI/ML infrastructure and services across the enterprise

Drive innovation in platform design, data engineering, observability, and ML system performance

Lead end-to-end initiatives—from strategy to deployment—ensuring production-grade quality, security, and reliability

Collaborate with Data Science, Security, Product, and SRE teams to deploy and monitor ML models (including LLMs and RL approaches)

Champion modern engineering practices including CI/CD, Infrastructure as Code (Terraform, Kubernetes), and metrics-driven operations

Mentor engineering talent and promote a high-performing, inclusive, and experimentation-driven culture

Influence key architectural decisions and ensure the long-term scalability and maintainability of AI/ML systems

Requirements: 15+ years of software engineering experience with significant expertise in backend systems and machine learning infrastructure

Hands-on experience with Spark, Ray, Kubernetes, Terraform, and AWS services such as EMR, S3, and Lambda

Proficient in Java or Python, and comfortable contributing to codebase when needed

Proven experience deploying ML systems in production—spanning supervised/unsupervised models, reinforcement learning, or large language models (LLMs)

Track record of designing ML platforms and data pipelines in large-scale, cloud-native environments

Demonstrated ability to mentor, lead, and collaborate cross-functionally at the enterprise level

Strong communication and stakeholder influence skills

Nice to Have: Experience with SageMaker, Azure ML, or big data ecosystems (e.g., Hadoop, Hive, HBase)

Background in payments, fintech, or risk-focused ML systems

About Us: Founded in 2009, IntelliPro stands as a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. With a dynamic presence in the USA, China, Canada, Singapore, Philippines, UK, India, Netherlands, and Germany, we continue to lead the way in global talent solutions. IntelliPro is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We also ensure that all applicants have access to accommodations throughout the hiring process. Learn more at https://intelliprogroup.com Compensation: The compensation offered will depend on various factors, including location, experience, education, and job-related skills. This role includes a competitive base salary, bonus, equity, and a comprehensive benefits package, subject to eligibility.

#J-18808-Ljbffr Remote working/work at home options are available for this role.