Principal AI/ML Engineer (Remote in Boston; Chicago; Seattle; SF Bay Area;
Portland, ME)
Full-Time | Remote or Hybrid Options | $230K–$295K Base + Bonus + RSU
+ Comprehensive Benefits
We’re a leading staffing partner working with a global payments and technology
company seeking an experienced Principal AI/ML Engineer to lead the development
of AI/ML infrastructure at scale. This is a high-impact leadership role ideal
for someone who thrives in fast-moving, data-driven environments and is
passionate about building production-grade AI/ML platforms.
?? Location Requirement:
This role is remote, but candidates must reside in one of our designated virtual
hub locations: Boston, MA; Chicago, IL; Portland, ME; Seattle, WA; or the San
Francisco Bay Area, CA. While there is no requirement to be in an office
regularly, proximity to one of these hubs is necessary for occasional in-person
collaboration.
WHAT YOU'LL DO:
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Architect and lead the development of scalable AI/ML platforms and services
used across the organization.
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Drive technical strategy and innovation in AI/ML infrastructure, data
pipelines, and real-time systems.
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Own end-to-end system performance, reliability, security, and observability.
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Guide your team and peers in using machine learning, reinforcement learning,
and LLM technologies to solve complex business problems.
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Collaborate with cross-functional teams—including data science, product,
security, and SRE—to deliver highly reliable solutions.
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Champion engineering excellence: CI/CD, Infrastructure as Code
(Terraform/Kubernetes), DORA metrics, and code quality.
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Serve as a mentor and thought leader, fostering a culture of innovation,
ownership, and continuous improvement.
QUALIFICATIONS:
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15+ years of software engineering experience, with deep expertise in scalable
backend systems, AI/ML frameworks, and cloud platforms.
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Hands-on experience with distributed systems and tools like Spark, Ray,
Kubernetes, Terraform, and AWS services (S3, EMR, Lambda, etc.).
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Strong skills in Java or Python, with the willingness to code when needed.
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Demonstrated experience deploying ML models in production
(supervised/unsupervised, RL, or LLMs).
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Track record of architecting and operationalizing AI/ML platforms and data
pipelines in cloud environments.
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Ability to mentor engineers, set technical direction, and build
high-performing teams.
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Strong communication and leadership presence—able to influence at all levels
of the organization.
NICE TO HAVE:
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Experience with SageMaker, Azure, and big data tools like Hadoop, HBase,
Hive, or Spark.
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Understanding of payments, fintech, or risk modeling systems.
COMPENSATION & BENEFITS:
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Base Salary: $230,000–$295,000 annually (commensurate with experience)
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Bonus & RSU package
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Comprehensive Benefits Package:
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Medical, dental, vision, HSA/FSA
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401(k) with company match
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Paid vacation, sick leave, and holidays
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Life and disability insurance
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Tuition reimbursement
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Employee wellness and assistance programs
Note: This is a direct-hire opportunity through our agency. You’ll work directly
with the client company in a full-time capacity.
