Mlops Engineer Jobs in North Carolina
Mlops Engineer jobs in North Carolina are open across Charlotte, Wilmington, and Morrisville and other North Carolina metros, with employers like Alvarez & Marsal, Vantaca, and Cognizant hiring at every experience level. Find a role that fits below and apply directly.
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Showing 5 of 9+ Mlops Engineer jobs
ABOUT COGNIZANT CONSULTING
Cognizant Consulting is more than Cognizant’s consulting practice—we’re a global community of experts dedicated to helping clients reimagine their business. Blending deep industry knowledge with advanced technology capabilities, we deliver transformative solutions to Fortune 500 clients.
ABOUT THE ROLE
As a Senior Manager – AI Engineer, you will play a critical hands-on leadership role in designing, building, and scaling enterprise-grade AI solutions. You will focus on LLM-powered systems, retrieval-augmented generation (RAG), and emerging agentic workflows, translating advanced AI concepts into production-ready applications.
You will be a key member of the AI & Data Consulting team, working closely with architects, clients, and engineering teams to deliver high-quality, scalable AI solutions that drive measurable business outcomes. In this role, you will:
- Design, develop, and deploy enterprise-grade AI/LLM solutions, including context handling, memory patterns, and prompt engineering strategies
- Build and optimize RAG pipelines, including embeddings, retrieval strategies, re-ranking, and evaluation frameworks for quality and performance
- Lead the development of agentic workflows and AI-powered applications, integrating APIs, enterprise tools, and data systems with appropriate guardrails
- Collaborate with architects and business stakeholders to integrate AI solutions with enterprise platforms (ERP, CRM, data platforms), ensuring security, scalability, and data integrity
- Own end-to-end engineering delivery, including code quality, testing, deployment, and performance optimization
- Provide technical leadership by mentoring junior engineers, conducting code reviews, and driving best practices in AI engineering and MLOps
- Partner with cross-functional teams to ensure alignment of AI solutions with business needs and production readiness standards
WORK MODEL
We strive to provide flexibility wherever possible. Based on this role’s business requirements, this position requires travel as needed and a hybrid work model, with time spent in a client or Cognizant office in the United States. We are committed to supporting a healthy work-life balance through our wellbeing programs.
The working arrangements for this role are accurate as of the date of posting and may change based on project and client requirements.
BASIC QUALIFICATIONS
- 8–12 years of experience in software engineering, AI/ML, or applied AI development, with strong hands-on expertise in Python-based systems
- Proven experience building and deploying LLM applications, including RAG architectures and vector databases
- Hands-on experience with LLM frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel, or equivalents)
- Strong understanding of prompt engineering, context design, and structured outputs, including security considerations such as prompt injection mitigation
- Experience developing scalable AI systems and APIs in cloud environments (AWS, Azure, or GCP)
- Demonstrated experience leading engineering teams or owning modules/workstreams in a delivery environment
- Strong problem-solving skills and ability to translate business requirements into technical solutions
PREFERRED QUALIFICATIONS
- Experience integrating AI solutions with enterprise systems, identity platforms (SSO/IAM), and secure data environments
- Familiarity with evaluation, observability, and monitoring tools for AI/LLM systems
- Experience with MLOps practices, CI/CD pipelines, and production deployment of AI applications
- Exposure to distributed systems and scalable cloud-native architectures
- Experience working in consulting or client-facing environments
- Advanced degree in Computer Science, Engineering, or related field is a plus
WHY YOU’LL LOVE THIS ROLE
You’ll have the opportunity to work on cutting-edge AI technologies, shape real-world enterprise AI solutions, and grow into broader technical leadership roles while working with a global team of experts.
We’re excited to meet people who share our mission and can make an impact in a variety of ways. Don’t hesitate to apply, even if you only meet the minimum requirements listed.
COMPENSATION
- Salary: $130,000 – $158,500
This position is eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
BENEFITS
- Medical, dental, vision, and life insurance
- 401(k) plan and contributions
- Employee stock purchase plan
- Employee assistance program
- 10 paid holidays plus PTO
- Paid parental leave and fertility assistance
- Learning and development certifications and programs
ABOUT COGNIZANT CONSULTING
Cognizant Consulting is more than Cognizant’s consulting practice—we’re a global community of experts dedicated to helping clients reimagine their business. Blending deep industry knowledge with advanced technology capabilities, we deliver transformative solutions to Fortune 500 clients.
ABOUT THE ROLE
As a Senior Manager – AI Engineer, you will play a critical hands-on leadership role in designing, building, and scaling enterprise-grade AI solutions. You will focus on LLM-powered systems, retrieval-augmented generation (RAG), and emerging agentic workflows, translating advanced AI concepts into production-ready applications.
You will be a key member of the AI & Data Consulting team, working closely with architects, clients, and engineering teams to deliver high-quality, scalable AI solutions that drive measurable business outcomes. In this role, you will:
- Design, develop, and deploy enterprise-grade AI/LLM solutions, including context handling, memory patterns, and prompt engineering strategies
- Build and optimize RAG pipelines, including embeddings, retrieval strategies, re-ranking, and evaluation frameworks for quality and performance
- Lead the development of agentic workflows and AI-powered applications, integrating APIs, enterprise tools, and data systems with appropriate guardrails
- Collaborate with architects and business stakeholders to integrate AI solutions with enterprise platforms (ERP, CRM, data platforms), ensuring security, scalability, and data integrity
- Own end-to-end engineering delivery, including code quality, testing, deployment, and performance optimization
- Provide technical leadership by mentoring junior engineers, conducting code reviews, and driving best practices in AI engineering and MLOps
- Partner with cross-functional teams to ensure alignment of AI solutions with business needs and production readiness standards
WORK MODEL
We strive to provide flexibility wherever possible. Based on this role’s business requirements, this position requires travel as needed and a hybrid work model, with time spent in a client or Cognizant office in the United States. We are committed to supporting a healthy work-life balance through our wellbeing programs.
The working arrangements for this role are accurate as of the date of posting and may change based on project and client requirements.
BASIC QUALIFICATIONS
- 8–12 years of experience in software engineering, AI/ML, or applied AI development, with strong hands-on expertise in Python-based systems
- Proven experience building and deploying LLM applications, including RAG architectures and vector databases
- Hands-on experience with LLM frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel, or equivalents)
- Strong understanding of prompt engineering, context design, and structured outputs, including security considerations such as prompt injection mitigation
- Experience developing scalable AI systems and APIs in cloud environments (AWS, Azure, or GCP)
- Demonstrated experience leading engineering teams or owning modules/workstreams in a delivery environment
- Strong problem-solving skills and ability to translate business requirements into technical solutions
PREFERRED QUALIFICATIONS
- Experience integrating AI solutions with enterprise systems, identity platforms (SSO/IAM), and secure data environments
- Familiarity with evaluation, observability, and monitoring tools for AI/LLM systems
- Experience with MLOps practices, CI/CD pipelines, and production deployment of AI applications
- Exposure to distributed systems and scalable cloud-native architectures
- Experience working in consulting or client-facing environments
- Advanced degree in Computer Science, Engineering, or related field is a plus
WHY YOU’LL LOVE THIS ROLE
You’ll have the opportunity to work on cutting-edge AI technologies, shape real-world enterprise AI solutions, and grow into broader technical leadership roles while working with a global team of experts.
We’re excited to meet people who share our mission and can make an impact in a variety of ways. Don’t hesitate to apply, even if you only meet the minimum requirements listed.
COMPENSATION
- Salary: $130,000 – $158,500
This position is eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
BENEFITS
- Medical, dental, vision, and life insurance
- 401(k) plan and contributions
- Employee stock purchase plan
- Employee assistance program
- 10 paid holidays plus PTO
- Paid parental leave and fertility assistance
- Learning and development certifications and programs
See All 9 Mlops Engineer Jobs in North Carolina
Find roles in North Carolina that match your experience and apply in just a few clicks.
Find Mlops Engineer JobsMlops Engineer Jobs by City in North Carolina
Where North Carolina roles are concentrated, by current openings.
Mlops Engineer Job Market in North Carolina
A snapshot from current North Carolina openings, updated as new roles post.
Who's Hiring
- Alvarez & Marsal2
- Vantaca2
- Cognizant1
- GlobalPoint1
- LTIMindtree1
Top Industries Hiring
- Consulting & Professional Services4
- Technology & Software3
- Electronics & Hardware1
- Manufacturing1
What North Carolina Employers Look For
The qualifications that appear most often in mlops engineer jobs across North Carolina.
- Proficiency in Python and experience building and maintaining ML pipelines at scale
- Hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
- Familiarity with at least one major cloud platform including AWS, GCP, or Azure ML services
- Experience with ML experiment tracking and model registry tools such as MLflow or Weights and Biases
- Understanding of CI/CD principles and tooling applied to machine learning model deployment workflows
- Bachelor's degree in computer science, data engineering, or a closely related technical field
Mlops Engineer Jobs in North Carolina: Frequently Asked Questions
How many mlops engineer jobs are there in North Carolina?
There are 9+ mlops engineer openings in North Carolina on Migrate Mate as of June 2026, with the most roles in Charlotte, Wilmington, and Morrisville. New positions post regularly as employers across North Carolina hire.
Which North Carolina cities have the most mlops engineer jobs?
Charlotte, Wilmington, and Morrisville have the most mlops engineer openings in North Carolina right now, with additional roles spread across smaller metros statewide.
Which companies hire mlops engineers in North Carolina?
Employers hiring mlops engineers in North Carolina include Alvarez & Marsal, Vantaca, and Cognizant, based on current listings on Migrate Mate as of June 2026.
Are there remote mlops engineer jobs in North Carolina?
Yes. About 33% of mlops engineer openings tied to North Carolina are remote or hybrid as of June 2026. The rest are on-site roles based in North Carolina metros.
How do I apply for mlops engineer jobs in North Carolina?
You can apply to mlops engineer jobs in North Carolina directly on Migrate Mate. Search the listings above, find roles that match your experience and preferred North Carolina location, then apply to each one that fits.
See All 9 Mlops Engineer Jobs in North Carolina
Find roles in North Carolina that match your experience and apply in just a few clicks.
Find Mlops Engineer Jobs