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Technical Implementation Manager Jobs in Boise, ID

Blue Cross of Idaho

AI Technical Lead

Meridian, ID · On-site

$118.51 - $177.76/hr

Design and implement AI-powered applications including large language model (LLM) systems and ... Work closely with product managers, data engineers, and business stakeholders to identify and ...

Amat

Technical Project/Program Manager

Boise, ID · On-site +1

$96K - $132K/yr

Will contribute to the team's technical development in the pursuit of the team's project goals ... Will research causes to project obstacles and assist in implementing solutions for resolution.

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Technical Implementation Manager information

See Boise, ID salary details

$37.1K

$98.5K

$159.9K

How much do technical implementation manager jobs pay per year?

As of Aug 22, 2026, the average yearly pay for technical implementation manager in Boise, ID is $98,527.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,900.00 and $115,200.00 per year, depending on experience, location, and employer.

What is a technical implementation manager?

A Technical Implementation Manager oversees the deployment and integration of technology solutions for clients or internal teams. They collaborate with stakeholders to understand requirements, manage project timelines, and ensure successful implementation. This role involves coordinating technical teams, troubleshooting issues, and optimizing system performance. Strong communication, project management, and problem-solving skills are essential.

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

To thrive as a Technical Implementation Manager, you need a strong background in project management, technical solution deployment, and systems integration, typically supported by a degree in computer science or a related field. Familiarity with tools like Jira, Salesforce, various ERP systems, and certifications such as PMP or Agile Scrum are often required. Exceptional problem-solving skills, effective communication, and the ability to manage cross-functional teams set top performers apart. These competencies are crucial for ensuring successful technical implementations that meet client needs and organizational goals.

What are the main challenges technical implementation managers usually face in their role?

Technical Implementation Managers often face challenges such as managing tight project timelines, coordinating between diverse technical and non-technical stakeholders, and handling unexpected technical issues during deployment. Navigating shifting client requirements and aligning them with existing system capabilities is common. Success in the role frequently depends on the ability to balance technical complexity with clear communication, all while ensuring projects are delivered on time and within scope. These challenges make the role dynamic and engaging, requiring adaptability and strong organizational skills.

What job categories do people searching Technical Implementation Manager jobs in Boise, ID look for?

The top searched job categories for Technical Implementation Manager jobs in Boise, ID are:

What cities near Boise, ID are hiring for Technical Implementation Manager jobs?

Cities near Boise, ID with the most Technical Implementation Manager job openings:

Technical Implementation Manager jobs near you

AI Technical Lead

Blue Cross of Idaho Health Service, Inc.

Meridian, ID • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 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.

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