Vaco by Highspring
This range is provided by Vaco by Highspring. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $110,000.00/yr - $120,000.00/yr
AI Operations Engineer
Direct Hire
110k - 120k / Bonus
Overview We’re looking for an
AI / ML Operations Engineer
to play a key role in supporting and maintaining the reliability of advanced AI systems. You will ensure smooth operations, optimize AI agent performance, and integrate third‑party solutions within secure, compliant environments. You’ll work with
Azure cloud platforms ,
containerized deployments , and
microservices , bringing a strong operations background to keep complex AI / ML systems running at scale.
Must Haves / Mandatory
Ensure operational reliability
of AI/ML systems and optimize AI agent performance.
Support and maintain integrations
with third‑party tools while upholding data security and compliance standards.
Work with
Azure cloud platforms ,
containerized deployments
(Docker/Kubernetes), and
microservices architectures .
Bring a strong
operations background
to manage and scale complex AI/ML environments effectively.
Nice to Have / Preferred
Experience with workflow orchestration tools (Workato, Make, n8n)
Exposure to agentic workflows
Familiarity with machine learning frameworks
Experience with SQL / NoSQL databases and data processing tools
Qualifications
Strong foundation in Azure cloud and scalable infrastructure
Proven ability to integrate and troubleshoot third‑party APIs and services
Hands‑on experience with AI / ML systems, including LLMs and Voice AI
Proficiency in C# or Python with a focus on fault‑tolerant system design
Ability to produce clear, comprehensive technical documentation and collaborate cross‑functionally
Responsibilities
Maintain and optimize integrations with services like Twilio, OpenAI, Azure AKS, and Google Workspace
Monitor AI system health, triage incidents, and implement fault‑tolerant solutions
Collaborate with development teams to refine generative prompts and improve AI agent outputs
Ensure strict adherence to HIPAA and internal data security policies
Provide on‑call support and document systems, integrations, and operational procedures
Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Information Technology
Industries Hospitals and Health Care, Health and Human Services, and Public Health
Benefits
Medical insurance
Vision insurance
401(k)
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Base pay range $110,000.00/yr - $120,000.00/yr
AI Operations Engineer
Direct Hire
110k - 120k / Bonus
Overview We’re looking for an
AI / ML Operations Engineer
to play a key role in supporting and maintaining the reliability of advanced AI systems. You will ensure smooth operations, optimize AI agent performance, and integrate third‑party solutions within secure, compliant environments. You’ll work with
Azure cloud platforms ,
containerized deployments , and
microservices , bringing a strong operations background to keep complex AI / ML systems running at scale.
Must Haves / Mandatory
Ensure operational reliability
of AI/ML systems and optimize AI agent performance.
Support and maintain integrations
with third‑party tools while upholding data security and compliance standards.
Work with
Azure cloud platforms ,
containerized deployments
(Docker/Kubernetes), and
microservices architectures .
Bring a strong
operations background
to manage and scale complex AI/ML environments effectively.
Nice to Have / Preferred
Experience with workflow orchestration tools (Workato, Make, n8n)
Exposure to agentic workflows
Familiarity with machine learning frameworks
Experience with SQL / NoSQL databases and data processing tools
Qualifications
Strong foundation in Azure cloud and scalable infrastructure
Proven ability to integrate and troubleshoot third‑party APIs and services
Hands‑on experience with AI / ML systems, including LLMs and Voice AI
Proficiency in C# or Python with a focus on fault‑tolerant system design
Ability to produce clear, comprehensive technical documentation and collaborate cross‑functionally
Responsibilities
Maintain and optimize integrations with services like Twilio, OpenAI, Azure AKS, and Google Workspace
Monitor AI system health, triage incidents, and implement fault‑tolerant solutions
Collaborate with development teams to refine generative prompts and improve AI agent outputs
Ensure strict adherence to HIPAA and internal data security policies
Provide on‑call support and document systems, integrations, and operational procedures
Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Information Technology
Industries Hospitals and Health Care, Health and Human Services, and Public Health
Benefits
Medical insurance
Vision insurance
401(k)
#J-18808-Ljbffr