ZipRecruiter

Log In

1

Automation Solution Architect Jobs (NOW HIRING)

Node.Digital

RPA Architect

Herndon, VA · On-site

RPA Architect Location: Herndon, VA (Hybrid Work) Required: US Citizenship Node ... Digital is an innovative solutions development company committed that combines agile development ...

Node.Digital

RPA Architect

Herndon, VA · On-site

RPA Architect Location: Herndon, VA (Hybrid Work) Required: US Citizenship Node ... Digital is an innovative solutions development company committed that combines agile development ...

Apply Early

Node.Digital

RPA Architect

Herndon, VA · Hybrid

RPA Architect Location: Herndon, VA (Hybrid Work) Required: US Citizenship Node ... Digital is an innovative solutions development company committed that combines agile development ...

Node.Digital

RPA Architect

Herndon, VA · Hybrid

RPA Architect Location: Herndon, VA (Hybrid Work) Required: US Citizenship Node ... Digital is an innovative solutions development company committed that combines agile development ...

Node.Digital

RPA Architect

Herndon, VA · On-site

RPA Architect Location: Herndon, VA (Hybrid Work) Required: US Citizenship Node ... Digital is an innovative solutions development company committed that combines agile development ...

Ignite Digital

Automation Architect

Charleston, SC

$110K/yr

Architecting end-to-end automation solutions leveraging RPA, AI/ML, workflow, and integration ... UiPath Certified Professional - Automation Solution Architect (ASA) (required) * UiPath Certified ...

NSS

UiPath Solution Architect (Part-Time)

Herndon, VA · Remote

$64.75 - $85.25/hr

About NSS NSS is a leader in Agentic Automation and a certified UiPath Public Sector Business ... The Opportunity We have an immediate opening for a part-time UiPath Solution Architect (10+ hours ...

next page

Showing results 1-20

All JobsAutomation Solution Architect Jobs

Automation Solution Architect information

See salary details

$19

$69

$91

How much do automation solution architect jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for automation solution architect in the United States is $69.00, according to ZipRecruiter salary data. Most workers in this role earn between $60.58 and $78.61 per hour, depending on experience, location, and employer.

How does an Automation Solution Architect typically collaborate with cross-functional teams during the implementation of automation projects?

An Automation Solution Architect works closely with cross-functional teams, including business analysts, software developers, IT operations, and project managers, to design and implement automation solutions that align with organizational goals. They often lead requirements-gathering sessions, translate business needs into technical specifications, and ensure integration with existing systems. Regular communication and collaboration are key, as the architect must balance technical feasibility with stakeholder expectations while addressing any challenges that arise during deployment. This collaborative approach helps ensure successful implementation and adoption of automation initiatives.

What does an automation architect do?

An automation solution architect designs and implements automated systems to improve business processes, often working with tools like robotic process automation (RPA) and workflow management software. They analyze requirements, develop technical solutions, and collaborate with teams to ensure scalable and efficient automation deployments.

Will AI replace Solution Architect?

AI is unlikely to fully replace Solution Architects, as their role involves complex problem-solving, designing systems, and understanding business needs that require human judgment. Instead, AI tools can augment their work by automating routine tasks and providing data-driven insights, allowing Solution Architects to focus on strategic planning and innovative solutions. Success in this role often depends on skills in cloud platforms, system integration, and certifications like TOGAF or AWS Certified Solutions Architect.

What are Automation Solution Architects?

Automation Solution Architects are professionals who design, implement, and oversee automation systems within organizations. They specialize in identifying processes that can be automated, selecting the right technologies, and creating scalable solutions that improve efficiency and reduce manual work. Their role involves collaborating with stakeholders, understanding business needs, and ensuring that automation initiatives align with organizational goals. They often work with tools such as Robotic Process Automation (RPA), artificial intelligence, and workflow orchestration platforms.

How much do automation architects make in the US?

Automation Solution Architects in the US typically earn between $100,000 and $150,000 annually, with experienced professionals and those working in high-demand industries earning higher salaries. Compensation can vary based on experience, certifications, and location, and many roles require strong knowledge of automation tools and programming skills.

Is Solution Architect a high paying job?

A Solution Architect is generally a high-paying role within the IT and technology sectors, often requiring advanced technical skills, certifications, and experience. Salaries can vary based on industry, location, and company size but are typically above average for technology professionals.

What are the key skills and qualifications needed to thrive as an Automation Solution Architect, and why are they important?

To thrive as an Automation Solution Architect, you need expertise in automation frameworks, systems integration, process analysis, and a background in computer science or engineering. Familiarity with tools like UiPath, Blue Prism, Automation Anywhere, and relevant certifications (e.g., RPA certifications) are commonly required. Strong problem-solving, stakeholder management, and communication skills differentiate top performers in this role. These skills ensure the architect can design scalable automation solutions that align with business goals and drive operational efficiency.

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

AspectAutomation Solution ArchitectAutomation Engineer
CredentialsTypically requires a bachelor’s degree in engineering, computer science, or related field; certifications like AWS, Azure, or Cisco are commonUsually holds a degree in engineering, computer science, or related field; certifications such as ISTQB, Cisco, or vendor-specific certifications are common
Work EnvironmentDesigns and oversees automation solutions at a strategic level, often collaborating with stakeholders and architectsDevelops, tests, and implements automation scripts and tools, working closely with development teams
Employer & Industry UsageUsed in IT, manufacturing, and business process automation across various industriesPrimarily in IT and software development sectors, focusing on testing and deployment automation

The Automation Solution Architect focuses on designing comprehensive automation strategies and solutions, while the Automation Engineer implements and maintains these automation processes. Both roles require technical expertise, but differ in scope and responsibilities.

More about Automation Solution Architect jobs
What job categories do people searching Automation Solution Architect jobs look for? The top searched job categories for Automation Solution Architect jobs are:
Automation Solution Architect jobs near you
AI & Automation Solution Architect- Hybrid Des Moines, Iowa

AI & Automation Solution Architect- Hybrid Des Moines, Iowa

American Enterprise Group, Inc.

Des Moines, IA • On-site

Full-time

Medical, Retirement, PTO

Posted 11 days ago

Job description

Wellabe is hiring for an AI & Automation Solution Architect. This role supports the AI & Automation Center of Excellence by designing reusable, secure, and scalable solution patterns for AI and automation capabilities. This role builds reference implementations, validates tools and approaches, provides technical advisory support, and helps distributed teams design solutions aligned with enterprise architecture, security, governance, and responsible AI expectations. The role enables a federated delivery model where business and technology teams retain ownership while the CoE provides patterns, standards, reusable assets, and acceleration.
Core Responsibilities
  • Design AI and Automation Solution Patterns
    • Develop reusable AI and automation solution patterns that translate business use cases into practical conceptual, logical, and technical designs.
    • Define repeatable design approaches, documentation standards, testing expectations, support considerations, and measurement practices that can be adopted across business and technology teams.
    • Partner with enterprise architecture to ensure solution patterns align with enterprise standards, integration principles, security expectations, and cloud architecture direction.
  • Build Reference Implementations and Proofs of Value
    • Build or co-build prototypes, proof-of-value implementations, reusable components, and demonstration scenarios that validate AI and automation approaches.
    • Evaluate emerging tools, platforms, integration patterns, automation capabilities, and technical assumptions through hands-on reference implementations.
    • Document implementation lessons, constraints, and recommended patterns so solutions can be replicated, adapted, extended, and moved toward production.
  • Provide Technical Advisory and Design Support
    • Serve as a technical advisor to business, product, process improvement, and technology delivery teams pursuing AI and automation opportunities.
    • Translate use cases, workflow impacts, business requirements, and adoption needs into practical solution options in partnership with the AI & Automation Enablement Lead.
    • Guide teams through tool selection, architecture, integration, data, security, controls, testing, deployment, scaling considerations, and technical risk tradeoffs.
  • Support Responsible AI and Automation Practices
    • Embed responsible AI and automation practices into solution design, including transparency, human oversight, data protection, security, privacy, explainability where appropriate, and appropriate use limitations.
    • Partner with governance, risk, compliance, legal, privacy, information security, and data governance teams to ensure solutions follow enterprise guardrails.
    • Identify, document, and support mitigation of AI-specific risks, production readiness needs, human-in-the-loop controls, operational monitoring, and auditability requirements.
  • Define Technical Standards, Templates, and Reusable Assets
    • Create and maintain technical templates, reference architectures, design checklists, prompt engineering patterns, automation standards, testing guides, and production readiness materials.
    • Develop reusable components, scripts, connectors, workflow patterns, prompt libraries, configuration examples, and technical accelerators where appropriate.
    • Partner with CoE leadership to ensure technical assets are understandable, reusable, aligned with business-facing playbooks, and continuously improved based on implementation lessons.
  • Support Lifecycle Execution from Intake to Scale
    • Support the end-to-end AI and automation lifecycle, from opportunity assessment and solution design through prototype development, governance alignment, testing, deployment readiness, adoption, measurement, and scale.
    • Define production readiness expectations for technical design, documentation, ownership, monitoring, support model, controls, adoption needs, and benefit tracking.
    • Partner with delivery teams to plan pilot-to-production transitions, resolve technical barriers, and ensure solutions are secure, supportable, observable, maintainable, and aligned with enterprise architecture expectations.
  • Enable Distributed Delivery Teams
    • Coach technology and business teams on approved AI and automation patterns, tools, standards, delivery practices, and responsible use of CoE-provided guidance and reusable assets.
    • Provide technical enablement through demos, design walkthroughs, knowledge-sharing sessions, office hours, and communities of practice.
    • Help teams determine when to use generative AI, workflow automation, RPA, low-code/no-code tools, APIs, data services, or traditional application capabilities while promoting reuse over one-off solutions.
  • Partner Across Platforms, Data, Architecture, and Security
    • Collaborate with enterprise architecture, cloud/platform teams, data and analytics, application teams, security, identity/access management, infrastructure, and operations.
    • Ensure solutions consider data readiness, integration needs, access controls, platform constraints, system performance, monitoring, operational support, scalability, and vendor/platform limitations.
    • Support alignment with approved platforms, enterprise technical standards, capability roadmaps, and technical enablement needs.
Qualifications
  • 5+ years of experience in solution architecture, application development, automation engineering, systems integration, enterprise applications, digital transformation, or a related technology field required
  • Experience designing and delivering AI, automation, workflow, low-code/no-code, data-enabled, or digital business solutions using enterprise applications, APIs, integrations, and data services required.
  • Experience with Microsoft cloud, AI, automation, and low-code/no-code platforms; responsible AI, AI governance, data privacy, information security, model risk, vendor risk, regulatory, or compliance considerations; and regulated industry environments such as insurance, financial services, or healthcare strongly preferred.
  • Familiarity with advanced AI and automation practices, including MLOps, LLMOps, prompt engineering, retrieval-augmented generation, document intelligence, process mining, workflow orchestration, knowledge management, or API-based integrations preferred.
  • Experience developing prototypes, proofs of value, reusable technical assets, reference architectures, enterprise solution patterns, or supporting design reviews, architecture governance, agile delivery, product management, design thinking, Lean, Six Sigma, DevOps, continuous improvement, communities of practice, or technical training preferred.
  • Strong knowledge of solution design, systems integration, security-by-design, testing, documentation, production readiness, supportability, operational handoff, and translating business needs into practical solution options.
  • Strong collaboration, problem-solving, facilitation, consulting, documentation, stakeholder management, and communication skills, with experience working across business, product, architecture, security, data, compliance, risk, and technology teams.
  • Knowledge of solution architecture, systems integration, AI and automation technologies, responsible AI practices, governance, security, production readiness, and operational support considerations.
  • Translate business needs into practical AI, automation, workflow, and digital solution designs aligned with enterprise standards.
  • Develop reusable solution patterns, prototypes, technical templates, reference architectures, and other enablement assets that support repeatable delivery.
  • Evaluate tools, platforms, integration patterns, and automation capabilities through hands-on experimentation and documented lessons learned.
  • Advise, coach, and enable business and technology teams on approved AI and automation practices, responsible use, and pilot-to-production execution.
  • Partner across architecture, data, security, compliance, risk, governance, operations, and delivery teams to ensure solutions are secure, scalable, supportable, and aligned with enterprise expectations.
Education
  • Bachelor's degree in information technology, computer science, engineering, data/analytics, business systems, or a related field; equivalent work experience will also be considered.
  • Additional coursework with emphasis in AI, automation, data/analytics, digital business solutions, systems integration, or enterprise technology preferred.
Benefits
  • Hybrid availability
  • 401(k) with company match
  • Health insurance
  • Paid time off, holidays
  • Volunteer time off
  • Lifestyle Spending Account (LSA)
  • Paternity leave
Growth opportunities
We believe each of us has potential to grow and adapt with our business. We take your career as seriously as you do. Helping you develop your skills and talents leads to opportunities - not only for you, but also for our company. That's why we provide:
  • LinkedIn Learning Premium access
  • CliftonStrengths® assessment and coaching
  • On-site and virtual workshops and cohorts featuring world-class content from FranklinCovey, Crucial Learning, Gallup, and more
  • Free world-class insurance acumen courses through AHIP and LOMA
  • Reimbursement and bonus opportunities for professional designations and certifications, including a tuition reimbursement program
  • Opportunities to take part in Wellabe's mentorship programs
About Wellabe
Since 1929, Wellabe has been finding solutions to help our customers protect their health and financial well-being. And we're committed to fostering an internal culture of inclusivity, well-being, and development so each of our team members can succeed. Learn more about Wellabe's culture of betterment by visiting wellabe.com/culture.
Wellabe is full of smart, caring, hard-working people with a broad range of talents who understand collaboration is key. We bring our best selves every day, to connect with others to solve problems, spark innovation, and bring ideas to life. Meet the team and learn what makes Wellabe a great place to work by visiting wellabe.com/news/employee-spotlights.
Our core values:
  • Be dedicated: Show unwavering commitment by proactively taking initiative, setting clear goals, and managing time effectively.
  • Be trustworthy: Take accountability for actions, navigate difficult conversations with integrity, and build strong relationships through consistent, honest behavior.
  • Be determined: Demonstrate enthusiasm and a relentless drive to overcome obstacles and achieve goals.
  • Be collaborative: Foster teamwork by being self-aware, actively listening, and effectively communicating across all levels.
  • Be open: Embrace diversity and new ideas to create an inclusive environment.
  • Be generous: Embody generosity and compassion by serving a greater purpose and helping others.
  • Be better: Commit to continuous improvement and adapt effectively to change.
  • Be well: Prioritize physical and mental health, manage stress, and demonstrate emotional intelligence.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Apply