Solutions Engineer
Solutions Engineer
Posted on :
21-06-2025
Employer Active
1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
21-06-2025
Job Description
Are You Ready
CAI is a professional services company established in 1996 that has grown year over year to nearly 800 people worldwide. For Mission Critical and regulated industries that need to deliver critical solutions in high-stakes environments we provide accelerated operational readiness and unparalleled performance at the highest standard through our rigorous approach field tested processes and elite expertise developed over 30 years.
Our approach is simple because our Purpose informs everything we do:
We exist to be the trusted solution for our clients as they strive to build a better working world and improve the human experience.
At CAI we are committed to living our Foundational Principles both professionally and personally:
We act with integrity
We serve each other
We serve society
We work for our future
At CAI we believe in a relentless dedication to excellence pushing boundaries and surpassing expectations. From the beginning weve challenged ourselves to do what others wouldnt. Not just setting industry standards but redefining them entirely. We are bold in our thinking and creative in our approach. We operate at the intersection of wisdom and technology and thrive when they come together with humanity. For us operational readiness isnt simply a goal. Its a way of life. Because tomorrow demands to be at the forefront of today. We do this through tireless effort precision efficiency and an unwavering belief that there is always room for advancement. Were not interested in how it used to be done. Were obsessed with how it will be done.
Position Overview
We are seeking an experienced Solutions Engineer with extensive AI/ML experience to join our Technology team. This is a fully remote role within the United States reporting to the Director of Information Technology and will be instrumental in designing and deploying scalable machine learning and business intelligence solutions that directly serve business needs. The ideal candidate has strong experience in model development and deployment combined with a solid foundation in modern data platforms such as Snowflake.
Reports to: Director Information Technology
Key Responsibilities
Model Development & Deployment
Design train and optimize machine learning models for tasks such as prediction classification ranking or generative AI.
Build production-ready ML pipelines using Python SQL and modern orchestration tools.
Deploy models in scalable secure and monitored environments using MLOps best practices.
Data Engineering Integration
Work with data teams to access and manipulate large datasets primarily within Snowflake.
Build end-to-end solutions that connect data ingestion transformation modeling and output delivery.
Collaborate on building data and ML pipelines that are integrated with orchestration tools and ETL platforms.
Write and maintain SQL models using dbt and Snowflake.
Collaboration & Architecture
Collaborate with Solution Architects and cross-functional stakeholders to design ML components that fit into larger enterprise systems.
Provide input on system design infrastructure scalability and model performance in production.
Understand CAI Internal System infrastructure to effectively build models for internal business intelligence reporting.
Mentorship & Innovation
Mentor junior engineers and data scientists sharing best practices and offering technical guidance.
Research and propose new methods tools and models to improve existing ML workflows.
Qualifications and Experience
Bachelors or Masters degree in Computer Science Engineering or related technical field.
5 years of hands-on experience in machine learning engineering roles.
Strong experience with Snowflake including working with large datasets writing performant SQL and integrating ML workflows with Snowflake.
Proficiency in Python and machine learning libraries such as PyTorch TensorFlow Scikit-learn.
Experience deploying ML models using MLOps tooling (e.g. MLflow Airflow Docker Kubernetes).
Familiarity with cloud platforms (AWS GCP or Azure).
Critical Competencies
Experience with Matillion or Fivetran for ETL/ELT and data integration workflows and data ingestion.
Experience with dbt GitHub and integrated development environment (IDE) software.
Experience working with large language models (LLMs) RAG architectures or vector databases.
Exposure to real-time or streaming model inference.
Experience with CI/CD practices and infrastructure-as-code in ML environments.
Comfortable working in regulated data environments or with PII/PHI.
What We Offer
100% remote work (U.S.-based).
Flexible working hours and a high degree of autonomy.
A collaborative environment that values innovation continuous learning and knowledge sharing.
Competitive compensation including performance-based incentives and benefits.
#LI-MV1
$105000 - $135000 a year
Average base salary range - not including benefits metric based performance bonus and/or Cost of Living Adjustment.
We are an equal opportunity employer; we are proud to employ veterans and promote diversity and inclusion in our workplace. Diversity is a strength for our global pledge that CAI will be operated in a way that is fair and equitable to all our employees our customers and the broader society.
This job description is not all inclusive and you may be asked to do other duties. CAI will also consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Chance Act (FCA) / Fair Chance Ordinance (FCO).
Employment Type
Full-Time
Key Skills
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