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Technical Associate Jobs in Idaho (NOW HIRING)

AI Technical Lead

Meridian, ID ยท On-site

$118.51 - $177.76/hr

## AI Technical LeadApplylocations: Meridian - Maintime type: Full timeposted on: Posted 30+ Days ... Associate Degree in Computer Science, Electrical Engineering, Information Systems, or closely ...

As a Technical Support Analyst, you'll be the go-to problem solver who keeps systems secure ... Associate's/Bachelor's degree in an IT-related field, or relevant coursework/bootcamps. * Relevant ...

Associate's or Bachelor's degree preferred * Experience or training in customer service, technical support, or a related field is a plus * Strong communication skills with a customer-focused, problem ...

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Technical Associate information

See Idaho salary details

$10

$23

$53

How much do technical associate jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for technical associate in Idaho is $23.23, according to ZipRecruiter salary data. Most workers in this role earn between $17.40 and $24.86 per hour, depending on experience, location, and employer.

What is a technical associate?

A Technical Associate is a professional who supports technical operations within an organization, often working in fields such as IT, engineering, or research. Their responsibilities typically include assisting with troubleshooting, maintaining equipment or systems, and providing technical support to teams or clients. They may also help in implementing new technologies and ensuring smooth day-to-day technical functions. Technical Associates usually work under the guidance of senior technical staff and may have opportunities to advance as they gain experience.

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

To thrive as a Technical Associate, you need a strong background in information technology or engineering, analytical problem-solving abilities, and a relevant bachelor's degree. Familiarity with systems such as Windows/Linux, basic programming languages, and enterprise software tools like SQL or ticketing systems is often required. Excellent communication, teamwork, and time management skills distinguish top performers in this role. These capabilities ensure efficient technical support, smooth project execution, and effective collaboration within technical teams.

What are some common challenges technical associates face when transitioning into more complex project work?

Technical Associates often encounter challenges such as adapting to rapidly changing technologies, managing multiple tasks with tight deadlines, and collaborating with cross-functional teams on intricate projects. As the scope of work expands, they may need to quickly learn new tools or methodologies and ensure clear communication between technical and non-technical stakeholders. Successfully overcoming these challenges helps Technical Associates build valuable problem-solving skills and prepares them for advanced roles within the organization.

What is the difference between Technical Associate vs Technical Specialist?

AspectTechnical AssociateTechnical Specialist
Required CredentialsAssociate's degree or equivalent, relevant certificationsSimilar credentials, often with additional certifications or experience
Work EnvironmentEntry-level, team-based, support roles in technical settingsMore focused, specialized roles often involving troubleshooting and analysis
Employer & Industry UsageCommon in IT, engineering, and technical support sectorsUsed in similar industries, emphasizing expertise in specific technical areas
Search & Comparison IntentPeople looking for entry-level technical roles or support positionsIndividuals seeking specialized technical roles with more responsibility

The main difference between a Technical Associate and a Technical Specialist lies in their level of expertise and responsibilities. Technical Associates typically perform support and entry-level tasks, while Technical Specialists focus on specialized technical functions requiring more experience. Both roles are common in technical industries and often require similar educational backgrounds, but the Specialist role involves a higher level of expertise and problem-solving.

What are the most commonly searched types of Technical jobs in Idaho?

The most popular types of Technical jobs in Idaho are:

What cities in Idaho are hiring for Technical Associate jobs?

Cities in Idaho with the most Technical Associate job openings:

Infographic showing various Technical Associate job openings in Idaho as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 9% Part Time, 4% Contract, and 1% Nights. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $48,327 per year, or $23.2 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 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.