Top 12 Senior validation engineer Jobs in North Dakota

Senior Machine Learning Engineer - Generative AI & Full-Stack Applications
CVS Health —Bismarck, ND
- $83,430 - $222,480 a year
- Full-time
- 3 years
- High school diploma or GED
- Bachelor's degree
- Health insurance
- Dental insurance
Senior Outside Plant (OSP) Engineer
Ziply Fiber —Bismarck, ND
- $88,000 - $115,000 a year
- Weekends as needed
- Background check
- Writing skills
- Engineering
- Health insurance
- Dental insurance
Quick Apply
10d
Sr Manufacturing Process Engineer
Continental Group Sector ContiTech —Wahpeton, ND
- Full-time
- 5 years
- Bachelor of Science
- Driving
Quick Apply
Senior Software Engineer
TaxPlanIQ —United States
- $100,000 - $140,000 a year
- Email
- Remote
- Background check
- System design
- Java
- Health insurance
- Dental insurance
Quick Apply
Senior Electrical Commissioning Engineer (Data Centers)
CAI —United States
- $91,300 - $107,300 a year
- Full-time
- Hybrid work
- Microsoft Word
- Construction site
- Customer service
- Disability insurance
- Health insurance
Quick Apply

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Senior Machine Learning Engineer - Generative AI & Full-Stack Applications
CVS Health —Bismarck, ND
This is an experienced individual-contributor role focused on evaluating, documenting, building and scaling GenAI and AI-powered capabilities, contributing to…
$83,430 - $222,480 a year
Sr Manufacturing Process Engineer
Continental Group Sector ContiTech —Wahpeton, ND
Maintains records for purposes of monitoring, analyzing, and reporting manufacturing engineering and production process performance, initiating and implementing…
Quick Apply

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Senior Infrastructure Engineer - AIX & Linux - hybrid | 1060710
Revel IT —Columbus, OH
Experience with enterprise-approved AI coding assistants and structured log analysis tooling in regulated environments is also valued.
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6461 - Senior CQV Engineer / Senior Validation Engineer
Verista, Inc. —Columbus, OH
Conducting and documenting impact and risk assessments with a full understanding of equipment/system/software operation and ability to assess direct, indirect,…
$70,491 - $109,900 a year
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3d

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Senior Machine Learning Engineer - Generative AI & Full-Stack Applications

CVS Health -
Bismarck, ND

Apply Now

Job Details

Full-time
$83,430 - $222,480 a year

Benefits

Health insurance
Dental insurance
Paid time off
Vision insurance

Qualifications

AI models
Software engineering
Improving system uptime or availability
Enterprise software systems development
Machine intelligence
Implementing APIs
High availability

Full Job Description

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

At CVS Health, our purpose is to deliver better health outcomes by meeting consumers where they are—through local care, digital experiences, and a nationwide team committed to quality, safety, and affordability.

Our Solutions Engineering and Infrastructure organization is building an enterprise AI/ML capability that delivers reliable, responsible, and secure AI-powered platforms and solutions at Fortune 5 scale, and this role is foundational to help us develop that capability.

This is an experienced individual-contributor role focused on evaluating, documenting, building and scaling GenAI and AI-powered capabilities, contributing to solution design, implementation, and production support in partnership with business partners and senior technical leaders.

Key Responsibilities:

Solution Development & Delivery

Implement AI-powered services and application features that integrate enterprise data and systems with LLMs and ML models.
Contribute to solution design by proposing approaches, identifying dependencies, and documenting tradeoffs and implementation plans.
Deliver features using strong engineering practices: test automation, code review, CI/CD, and operational readiness.

GenAI Engineering Practices

Build and tune RAG pipelines (retrieval, ranking, grounding) and implement prompt patterns that improve reliability and user experience.
Contribute to evaluation suites and regression testing to ensure quality and safety over time.
Implement guardrails and security controls (input/output validation, policy filtering, and data protection patterns) under guidance from senior engineers.

Reliability, Observability & Support

Instrument services with metrics, traces, logs, and dashboards; participate in incident response and post-incident improvements.
Support performance and cost optimization efforts (latency, throughput, caching, and model selection).
Follow and reinforce platform standards for deployment, versioning, monitoring, and documentation.

Collaboration & Continuous Improvement

Work closely with product, design, security, and platform teams to refine requirements and deliver customer-focused outcomes.
Mentor engineers at earlier career stages and share practical learnings with the broader AI/ML community of practice.
Stay current on GenAI and ML platform trends; propose incremental improvements that raise quality and accelerate delivery.

Required Qualifications

5+ years of software engineering experience delivering production systems, including modern APIs and application development.
3+ years of experience applying ML/AI concepts in real systems; GenAI exposure (LLMs, RAG, evaluation) strongly preferred.
3+ years of experience delivering solutions in high-scale, high-availability environments with strong security and compliance requirements.

Preferred Qualifications

Proficiency in backend engineering (APIs, services) and comfort contributing across the stack when needed.
Working knowledge of LLM application development (prompting, RAG, tool calling) and evaluation practices.
Experience with CI/CD, testing, containerization, and basic Kubernetes concepts.
Strong debugging and operational skills; ability to improve reliability and performance based on telemetry and root cause analysis.
Effective collaboration and communication skills across technical and non-technical stakeholders.

Education

Bachelor’s degree or equivalent experience (High School Diploma and 4 years relevant experience)

Anticipated Weekly Hours

Time Type

Full time

Pay Range

The typical pay range for this role is:

$83,430.00 - $222,480.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 08/03/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Apply Now

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senior validation engineer jobs in north dakota

Senior Machine Learning Engineer - Generative AI & Full-Stack Applications

Senior Outside Plant (OSP) Engineer

Sr Manufacturing Process Engineer

Senior Software Engineer

Senior Electrical Commissioning Engineer (Data Centers)

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