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Client Integration Manager Jobs in Minnesota (NOW HIRING)

defi AUTO LLC

Senior Client Executive

Saint Paul, MN · On-site

$100K - $150K/yr

The Senior Client Executive assumes the leadership role in managing defi SOLUTIONS business ... Develop and document an Account Plan at least annually that includes the integration of other defi ...

Fast Horse

Director, Integrated Teams

Minneapolis, MN · On-site

Establish and manage client relationships, including managing expectations and delivering truly ... on how integration can produce amazing work and bring value to our clients and people * Step ...

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Client Integration Manager information

See Minnesota salary details

$63.2K

$98.2K

$121.9K

How much do client integration manager jobs pay per year?

As of Jul 17, 2026, the average yearly pay for client integration manager in Minnesota is $98,154.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,400.00 and $120,000.00 per year, depending on experience, location, and employer.

What are some common challenges a Client Integration Manager faces during the onboarding process?

Client Integration Managers often navigate complex technical requirements and diverse client expectations during onboarding. A key challenge is ensuring seamless communication between internal teams (like development and support) and the client's stakeholders to address integration needs and troubleshoot issues efficiently. They must also coordinate project timelines and manage multiple integrations simultaneously, balancing customization requests with standardized best practices. Building strong client relationships and proactively addressing potential roadblocks are essential to a successful integration process.

What is the difference between Client Integration Manager vs Client Services Manager?

AspectClient Integration ManagerClient Services Manager
Primary FocusImplementing and integrating client solutionsManaging ongoing client relationships and support
ResponsibilitiesTechnical onboarding, system setup, process integrationCustomer support, account management, satisfaction enhancement
Required SkillsTechnical knowledge, project management, communicationCustomer service, relationship building, problem-solving
Work EnvironmentProject-based, technical teams, client sites

The Client Integration Manager primarily focuses on onboarding and integrating clients' systems, ensuring smooth technical implementation. In contrast, the Client Services Manager concentrates on maintaining ongoing client relationships and satisfaction. Both roles require strong communication skills, but the Integration Manager leans more toward technical expertise, while the Services Manager emphasizes customer support and relationship management.

What are the key skills and qualifications needed to thrive as a Client Integration Manager, and why are they important?

To thrive as a Client Integration Manager, you need expertise in project management, client onboarding processes, and a solid understanding of business systems, often supported by a bachelor’s degree in business or a related field. Familiarity with integration platforms, CRM tools, and data mapping software, along with relevant certifications like PMP or ITIL, is typically required. Strong communication, problem-solving, and relationship-building skills help foster client satisfaction and drive successful implementations. These competencies ensure seamless client integrations, efficient project delivery, and long-term client partnerships.

What does a Client Integration Manager do?

A Client Integration Manager is responsible for overseeing the seamless onboarding and integration of new clients into a company’s systems, processes, or services. They act as the primary point of contact between the client and internal teams, ensuring all technical and operational requirements are met. Their duties often include project management, troubleshooting issues, coordinating with various departments, and providing ongoing support to ensure client satisfaction and successful integration.
What job categories do people searching Client Integration Manager jobs in Minnesota look for? The top searched job categories for Client Integration Manager jobs in Minnesota are:
What cities in Minnesota are hiring for Client Integration Manager jobs? Cities in Minnesota with the most Client Integration Manager job openings:
Client Integration Manager jobs near you
Integration Engineer II - AI and Python Developer

Integration Engineer II - AI and Python Developer

Deloitte

Minneapolis, MN • Hybrid

$108K - $146K/yr

Other

Re-posted yesterday

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

59th of 148 rated financial services

Job description

Integration Engineer II, AI & Engineering/Engineering as a Service
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

Recruiting for this role ends on 8/1/26.

Work You'll Do

You are a hands-on Python and AI Developer who builds, tests, and ships reliable software as part of an agile engineering team. You contribute to the design and implementation of cloud-native applications and AI-augmented features, growing your technical depth across the stack. You will work alongside senior engineers to grow your technical skills while making meaningful contributions to our projects.

Key Responsibilities

  • Support AI and emerging technology initiatives across business and technology teams.
  • Work hands-on with AI/ML, Generative AI, and agentic AI solutions.
  • Help develop and prototype AI use cases that solve real business problems.
  • Evaluate and apply foundation models, LLMs, and modern AI frameworks.
  • Contribute to RAG, memory systems, tool use, and function-calling patterns.
  • Support multi-agent workflows and autonomous AI capabilities.
  • Assist with AI experimentation, proof-of-concepts, and solution testing.
  • Partner with data, engineering, and business teams to move AI solutions toward production.
  • Support MLOps, AI Ops, deployment, monitoring, and CI/CD practices.
  • Communicate technical AI concepts clearly to both technical and non-technical audiences.
  • Promote responsible AI practices, including ethics, governance and bias mitigation.
  • Collaborate with product managers, designers, and fellow engineers to translate requirements into technical solutions.
  • Identify, diagnose, and resolve bugs and performance issues in development and production environments.
  • Assist in breaking down technical requirements into well-scoped tasks and estimates.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines

Qualifications - Required

Candidates must be based in one of the following locations: Hunt Valley, MD (Baltimore), Atlanta, Hartford or Minneapolis - available to work at a client site in one of these locations a few days a week.

  • 4+ years of professional software engineering experience with hands-on experience in Python and ReactJS.
  • 3+ years of full system lifecycle development experience, from requirements through production deployment.
  • 1+ years' experience in AI/ML, Generative AI, or advanced analytics.
  • 2+ years' experience in ML fundamentals and model evaluation.
  • 1+ years' experience in LLMs, prompt engineering, fine-tuning, and multimodel AI.
  • 2+ years in a client-facing development role, or a demonstrated ability to engage professionally with external stakeholders.
  • Familiarity with agentic frameworks such as LangChain, Strands, or Crew AI.
  • 1+ years' experience with vector databases, RAG, and tool/function calling.
  • 1+ years' experience with Cloud AI platforms such as AWS Bedrock; Azure or GCP is a plus.
  • Strong understanding of MLOps and CI/CD for AI solutions.
  • Strong verbal and written communication skills with the ability to work effectively in a team environment.
  • Bachelor's degree in computer science, Engineering, or a related discipline.
  • Ability to travel up to 50% based on the work you do and the clients and industries/sectors you serve.
  • Must be currently based in the Baltimore, MD area, Hartford, CT, Atlanta or Minneapolis for onsite work a few days a week.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

In addition, successful Software Engineer II candidates will have the following preferred background:

  • Experience working with global Agile teams and cross-functional teams.
  • Familiarity with CI/CD pipelines and DevOps practices.
  • Interest in mentoring others and taking on increased technical responsibility over time.
  • Industry-recognized cloud certifications (AWS Certified Developer, Azure Developer Associate, GCP Professional Developer, or equivalent).

Wages + Salary

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $86,700 to $170,900

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


Qualifications:

Integration Engineer II, AI & Engineering/Engineering as a Service
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

Recruiting for this role ends on 8/1/26.

Work You'll Do

You are a hands-on Python and AI Developer who builds, tests, and ships reliable software as part of an agile engineering team. You contribute to the design and implementation of cloud-native applications and AI-augmented features, growing your technical depth across the stack. You will work alongside senior engineers to grow your technical skills while making meaningful contributions to our projects.

Key Responsibilities

  • Support AI and emerging technology initiatives across business and technology teams.
  • Work hands-on with AI/ML, Generative AI, and agentic AI solutions.
  • Help develop and prototype AI use cases that solve real business problems.
  • Evaluate and apply foundation models, LLMs, and modern AI frameworks.
  • Contribute to RAG, memory systems, tool use, and function-calling patterns.
  • Support multi-agent workflows and autonomous AI capabilities.
  • Assist with AI experimentation, proof-of-concepts, and solution testing.
  • Partner with data, engineering, and business teams to move AI solutions toward production.
  • Support MLOps, AI Ops, deployment, monitoring, and CI/CD practices.
  • Communicate technical AI concepts clearly to both technical and non-technical audiences.
  • Promote responsible AI practices, including ethics, governance and bias mitigation.
  • Collaborate with product managers, designers, and fellow engineers to translate requirements into technical solutions.
  • Identify, diagnose, and resolve bugs and performance issues in development and production environments.
  • Assist in breaking down technical requirements into well-scoped tasks and estimates.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines

Qualifications - Required

Candidates must be based in one of the following locations: Hunt Valley, MD (Baltimore), Atlanta, Hartford or Minneapolis - available to work at a client site in one of these locations a few days a week.

  • 4+ years of professional software engineering experience with hands-on experience in Python and ReactJS.
  • 3+ years of full system lifecycle development experience, from requirements through production deployment.
  • 1+ years' experience in AI/ML, Generative AI, or advanced analytics.
  • 2+ years' experience in ML fundamentals and model evaluation.
  • 1+ years' experience in LLMs, prompt engineering, fine-tuning, and multimodel AI.
  • 2+ years in a client-facing development role, or a demonstrated ability to engage professionally with external stakeholders.
  • Familiarity with agentic frameworks such as LangChain, Strands, or Crew AI.
  • 1+ years' experience with vector databases, RAG, and tool/function calling.
  • 1+ years' experience with Cloud AI platforms such as AWS Bedrock; Azure or GCP is a plus.
  • Strong understanding of MLOps and CI/CD for AI solutions.
  • Strong verbal and written communication skills with the ability to work effectively in a team environment.
  • Bachelor's degree in computer science, Engineering, or a related discipline.
  • Ability to travel up to 50% based on the work you do and the clients and industries/sectors you serve.
  • Must be currently based in the Baltimore, MD area, Hartford, CT, Atlanta or Minneapolis for onsite work a few days a week.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

In addition, successful Software Engineer II candidates will have the following preferred background:

  • Experience working with global Agile teams and cross-functional teams.
  • Familiarity with CI/CD pipelines and DevOps practices.
  • Interest in mentoring others and taking on increased technical responsibility over time.
  • Industry-recognized cloud certifications (AWS Certified Developer, Azure Developer Associate, GCP Professional Developer, or equivalent).

Wages + Salary

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $86,700 to $170,900

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


Education:Bachelor's DegreeEmployment Type:

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