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Solution Architect Associate Jobs in Minnesota (NOW HIRING)

Mayo Clinic

Cloud Security Architect - IS Mod

Rochester, MN · On-site

$64 - $85/hr

  • Medical

  • Dental

  • Vision

  • Retirement

... design/solution sessions, and consulting work. • Collaborate with senior leaders across ... Qualifications An Associate's degree and 10 years of experience related to Information Systems or ...

Mayo Clinic

Cloud Security Architect - IS Mod

Rochester, MN · Hybrid

$64 - $85/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Identify, help prioritize, and justify work efforts to IT, solution architects, enterprise ... Qualifications An Associate's degree and 10 years of experience related to Information Systems or ...

Mayo Clinic

Cloud Security Architect - IS Mod

Rochester, MN · On-site

$64 - $85/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Identify, help prioritize, and justify work efforts to IT, solution architects, enterprise ... An Associate's degree and 10 years of experience related to Information Systems or an accumulated ...

Mayo Clinic

Cloud Security Architect - IS Mod

Rochester, MN

$66.50 - $88.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Identify, help prioritize, and justify work efforts to IT, solution architects, enterprise ... An Associate's degree and 10 years of experience related to Information Systems or an accumulated ...

Widseth Smith Nolting and Associates

Architect

Perham, MN · On-site

  • Medical

  • Life

  • PTO

Architect Perham, MN As an Architect at Widseth, you'll work alongside a team of architectural ... Interpreting design concepts and translating them into workable solutions and evaluate alternatives ...

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Showing results 21-40

All JobsSolution Architect Associate JobsSolution Architect Associate Jobs in Minnesota

Solution Architect Associate information

See Minnesota salary details

$16

$68

$93

How much do solution architect associate jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for solution architect associate in Minnesota is $68.73, according to ZipRecruiter salary data. Most workers in this role earn between $59.33 and $78.17 per hour, depending on experience, location, and employer.

What is the difference between Solution Architect Associate vs Solution Engineer?

AspectSolution Architect AssociateSolution Engineer
CertificationsTypically AWS, Azure, or cloud-specific certificationsOften similar cloud certifications, plus technical sales or product-specific credentials
Work EnvironmentDesigns solutions, collaborates with teams, focuses on architectureImplements solutions, supports deployment, works closely with clients and sales
Employer & Industry UsageUsed in cloud, IT consulting, and enterprise tech companiesCommon in cloud providers, tech firms, and enterprise solutions

The Solution Architect Associate focuses on designing and planning cloud solutions, while the Solution Engineer is more involved in implementing and supporting those solutions. Both roles require similar certifications and work in overlapping environments, but their primary responsibilities differ in scope and focus.

What are some common challenges solution architect associates face when transitioning from technical roles, and how can they overcome them?

Solution Architect Associates often transition from hands-on technical positions, so adapting to a role that requires strong communication and stakeholder management can be challenging. Balancing technical depth with the ability to convey complex solutions to non-technical audiences is essential. To overcome these challenges, it's helpful to practice active listening, seek mentorship from experienced solution architects, and participate in cross-functional meetings to build confidence in presenting and defending architectural decisions. Continual learning about business priorities and focusing on collaborative problem-solving will also aid in a successful transition.

What is a solution architect associate?

A Solution Architect Associate is an IT professional who assists in designing and implementing technical solutions that meet business requirements. They work under the guidance of more senior solution architects to analyze client needs, select appropriate technologies, and ensure that systems are scalable, reliable, and secure. Their role often involves collaborating with developers, engineers, and stakeholders to translate business objectives into technical architectures. Solution Architect Associates typically have a foundational understanding of cloud services, software development, and IT infrastructure. This position is a common starting point for those aiming to become full Solution Architects.

What are the key skills and qualifications needed to thrive as a solution architect associate, and why are they important?

To thrive as a Solution Architect Associate, you need a solid understanding of systems design, cloud computing, and software development, often backed by a relevant degree and foundational certifications like AWS Certified Solutions Architect – Associate. Familiarity with cloud platforms (AWS, Azure, or Google Cloud), architecture frameworks, and tools such as UML or infrastructure-as-code solutions is typical. Strong problem-solving abilities, effective communication, and collaboration skills help translate business requirements into technical solutions. These skills ensure the delivery of scalable, secure, and efficient architectures that meet organizational needs.

What are the most commonly searched types of Solution Architect jobs in Minnesota?

The most popular types of Solution Architect jobs in Minnesota are:

What cities in Minnesota are hiring for Solution Architect Associate jobs?

Cities in Minnesota with the most Solution Architect Associate job openings:

Solution Architect Associate jobs near you
Infographic showing various Solution Architect Associate job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $142,958 per year, or $68.7 per hour.

Lead Forward Deployed Engineer - AWS

Deloitte

Minneapolis, MN

$107K - $140K/yr

Full-time

Re-posted 6 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services

Job description

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.

Work you'll do

As an AWS AI&Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.

Solution Engineering

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.


The team

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.

Required qualifications 

  • Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
  • 7+ years of experience in software engineering, data engineering, data science, or analytics engineering. 
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with AWS AI&Data including hands on experience with one of the following key platforms/products: Amazon Bedrock, Bedrock AgentCore, Strands Agents SDK, Knowledge Bases, Guardrails
  • 1+ years of experience with AWS Neptune and OpenSearch
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • At least 3 of 6 certifications from the following list: AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI Practitioner (AIF-C01), AWS Certified Generative AI Developer (Professional - AIP-C01), AWS Certified Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate)
  • 1+ years of experience building reliable, maintainable, and well-documented code 
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred qualifications

  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments 
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
  • Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management 
  • Experience with SageMaker fine-tuning (SFT and RFT) for domain SLMs
  • Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures 
  • Experience operating within hybrid onshore/offshore teams 
  • Familiarity with security, privacy, and compliance considerations

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 $189,200 to $372,900.

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:

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.

Work you'll do

As an AWS AI&Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.

Solution Engineering

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.


The team

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.

Required qualifications 

  • Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
  • 7+ years of experience in software engineering, data engineering, data science, or analytics engineering. 
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with AWS AI&Data including hands on experience with one of the following key platforms/products: Amazon Bedrock, Bedrock AgentCore, Strands Agents SDK, Knowledge Bases, Guardrails
  • 1+ years of experience with AWS Neptune and OpenSearch
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • At least 3 of 6 certifications from the following list: AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI Practitioner (AIF-C01), AWS Certified Generative AI Developer (Professional - AIP-C01), AWS Certified Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate)
  • 1+ years of experience building reliable, maintainable, and well-documented code 
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred qualifications

  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments 
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
  • Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management 
  • Experience with SageMaker fine-tuning (SFT and RFT) for domain SLMs
  • Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures 
  • Experience operating within hybrid onshore/offshore teams 
  • Familiarity with security, privacy, and compliance considerations

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 $189,200 to $372,900.

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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