1

Technical Support Associate Jobs in Boise, ID (NOW HIRING)

AI Technical Lead

Meridian, ID ยท On-site

$118.51 - $177.76/hr

Define architecture patterns that support experimentation, rapid prototyping, and production ... Associate Degree in Computer Science, Electrical Engineering, Information Systems, or closely ...

Associate degree in Electronics, Electro-Mechanical Technology, or a related technical discipline, or equivalent military technical training. * 5+ years of field service, customer support, or ...

Controls Technician

Boise, ID ยท On-site

$60K - $80K/yr

Technical Support: Respond to service and warranty calls, providing front-line technical repair ... A vocational program or Associate degree or Military Training in a relevant field is preferred.

Associate degree in Electronics, Electro-Mechanical Technology, or a related technical discipline, or equivalent military technical training. * 5+ years of field service, customer support, or ...

Technical Support: Respond to service and warranty calls, providing front-line technical repair ... A vocational program or Associate degree or Military Training in a relevant field is preferred.

Technical Support: Respond to service and warranty calls, providing front-line technical repair ... A vocational program or Associate degree or Military Training in a relevant field is preferred.

Showing results 21-40

Technical Support Associate information

See Boise, ID salary details

$10

$23

$54

How much do technical support associate jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for technical support associate in Boise, ID is $23.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.60 and $25.14 per hour, depending on experience, location, and employer.

What does a technical support associate do?

A Technical Support Associate assists customers by diagnosing and resolving technical issues related to products or services, often via phone, email, or chat. They provide guidance on troubleshooting hardware and software problems, help with installations, and answer user queries. In addition, they may document issues, escalate complex problems to higher-level technicians, and ensure customer satisfaction. Their goal is to ensure users can effectively use the technology and have a positive support experience.

What are the key skills and qualifications needed to thrive as a technical support associate?

To thrive as a Technical Support Associate, you need strong problem-solving abilities, a solid understanding of IT fundamentals, and typically a degree or certification in computer science or a related field. Familiarity with help desk ticketing systems, remote troubleshooting tools, and common operating systems is crucial. Excellent communication, patience, and customer service skills help you effectively assist users and manage potentially stressful situations. These skills ensure timely resolution of technical issues, high customer satisfaction, and efficient support operations.

What are some common challenges technical support associates face, and how can they effectively manage them?

Technical Support Associates often encounter challenges such as handling high volumes of support tickets, troubleshooting complex issues under time pressure, and communicating technical information to non-technical users. To manage these effectively, it's important to stay organized, prioritize tasks based on urgency, and continually update technical knowledge. Strong interpersonal skills and patience are also key, as associates frequently collaborate with both customers and internal teams to resolve issues and improve service quality.

What is the difference between Technical Support Associate vs Customer Support Specialist?

AspectTechnical Support AssociateCustomer Support Specialist
Required CredentialsHigh school diploma or equivalent; technical certifications often preferredHigh school diploma or equivalent; customer service certifications optional
Work EnvironmentCall centers, IT departments, technical help desksCall centers, retail, online support platforms
Industry UsageIT, software, hardware companiesRetail, telecom, service industries
Common Search/ComparisonTechnical Support Associate vs Customer Support Specialist

The main difference is that Technical Support Associates focus on resolving technical issues related to hardware or software, requiring technical knowledge and certifications. Customer Support Specialists handle general customer inquiries, focusing on service and satisfaction. Both roles are essential in customer-facing environments but differ in technical complexity and scope.

What are the most commonly searched types of Technical Support jobs in Boise, ID?

The most popular types of Technical Support jobs in Boise, ID are:

What are popular job titles related to Technical Support Associate jobs in Boise, ID?

For Technical Support Associate jobs in Boise, ID, the most frequently searched job titles are:

What job categories do people searching Technical Support Associate jobs in Boise, ID look for?

The top searched job categories for Technical Support Associate jobs in Boise, ID are:

What cities near Boise, ID are hiring for Technical Support Associate jobs?

Cities near Boise, ID with the most Technical Support Associate job openings:

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Job description

Our AI Technical Lead is responsible for designing and delivering scalable AI systems that enable intelligent applications across the organization. This role combines hands-on engineering, system architecture, and technical leadership to build production-grade machine learning and generative AI platforms. The Lead works closely with product, data engineering, and infrastructure teams to bring AI capabilities from experimentation into reliable production systems while supporting the organization's broader AI strategy and innovation initiatives.
Location: this position has preference to based in hybrid work location (onsite and WFH). There may be opportunity for fully remote within a mutually acceptable location. #LI-Hybrid
Success Looks Like:
  • AI systems move efficiently from experimentation and pilot phases into reliable production environments.
  • Engineering teams operate within clear architectural standards and scalable development practices.
  • AI capabilities deliver measurable business impact.
  • The organization is able to rapidly develop, test, and scale new AI-driven solutions

Key Responsibilities:
Technical Leadership
  • Provide technical leadership and mentorship to a team of AI engineers.
  • Establish engineering standards, coding practices, and architectural guidelines for AI system development.
  • Lead design reviews, guide technical decision making, and resolve complex engineering challenges.
  • Serve as a technical escalation point for AI system architecture and implementation

AI System Architecture
  • Architect end-to-end AI systems including data pipelines, model training workflows, AI service layers, and scalable AI application infrastructure.
  • Design and implement AI-powered applications including large language model (LLM) systems and retrieval-based knowledge applications.
  • Define architecture patterns that support experimentation, rapid prototyping, and production deployment of AI capabilities.
  • Develop service-based architectures that enable AI functionality to be integrated across enterprise applications.

AI Engineering & Development
  • Develop and deploy machine learning and generative AI solutions that support enterprise use cases.
  • Build reusable AI services and platform components that enable teams to rapidly develop and scale AI capabilities.
  • Implement evaluation, monitoring, and reliability systems to ensure consistent model performance.
  • Optimize AI pipelines for performance, scalability, and operational efficiency.

Cloud & MLOps
  • Design cloud-native infrastructure supporting AI and machine learning workloads.
  • Implement containerized AI services and automated deployment pipelines.
  • Support the development of scalable AI platforms that enable experimentation, model deployment, and operational monitoring.
  • Ensure AI systems follow best practices for reliability, observability, and cost management.

Collaboration & Delivery
  • Work closely with product managers, data engineers, and business stakeholders to identify and deliver high-value AI use cases.
  • Translate business requirements into scalable AI architecture and engineering solutions.
  • Partner with cross-functional teams to move AI solutions from pilots and experimentation into production environments.
  • Support initiatives that enable the organization to scale AI capabilities across multiple business domains.

Responsible AI & Governance
  • Promote responsible AI practices including transparency, fairness, and privacy considerations.
  • Implement safeguards and monitoring systems for AI applications operating in production.
  • Collaborate with security and compliance teams to ensure AI systems meet regulatory and organizational standards.

Required Education (must meet one of the following):
  • Bachelor or International Equivalency degree in Cybersecurity, Computer Science, Electrical Engineering, Information Systems, or closely related field of study; or equivalent work experience (Two years' relevant work experience is equivalent to one-year college)
  • Associate Degree in Computer Science, Electrical Engineering, Information Systems, or closely related field of study + 2 years additional experience

Required Experience: 6/+ years of experience in software engineering, machine learning engineering, and/or related AI/ML technical roles. Experience should include:
  • Experience designing and deploying machine learning or generative AI systems.
  • Strong programming experience in Python and modern backend technologies.
  • Experience building distributed systems or cloud-native architectures.
  • Experience implementing machine learning workflows or model deployment pipelines.

Preference for additional experience in:
  • Developing large language model (LLM) applications.
  • Experience with retrieval-based AI systems or knowledge-driven applications.
  • Working with cloud platforms and modern DevOps practices.
  • Mentoring engineers, leading technical initiatives, and/or serving as a technical lead
  • Working with large-scale data pipelines

As of the date of this posting, a good faith estimate of the current pay range is $118,506 - $177,758. The position is eligible for an annual incentive bonus (variable depending on company and employee performance). The pay range for this position takes into account a wide range of factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, relevant experience, skills, seniority, performance, travel requirements, internal equity, business or organizational needs, and alignment with market data. At Blue Cross of Idaho, it is not typical for an individual to be hired at or near the top range for the position. Compensation decisions are dependent on factors and circumstances at the time of offer.
We offer a robust package of benefits including paid time off, paid holidays, community service and self-care days, medical/dental/vision/pharmacy insurance, 401(k) matching and non-contributory plan, life insurance, short and long term disability, education reimbursement, employee assistance plan (EAP), adoption assistance program and paid family leave program.
We will adhere to all relevant state and local laws concerning employee leave benefits, in line with our plans and policies.
Reasonable accommodations
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.