Senior MuleSoft Architect: API & AI Integration Leader

Accenture; Beaverton (OR); On-site; USD 120,000 - 210,000; Full time

Benefits offered by this job

Medical, Dental, Vision

Life Insurance

401(k) with match

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture in Beaverton, OR is seeking an experienced MuleSoft Architect to translate complex business needs into scalable integration solutions. You will lead design reviews, guide delivery teams, and ensure secure, reusable API ecosystems while leveraging AI to enhance architecture documentation and analysis.

Role requires strong client-facing skills, deep MuleSoft expertise, and ability to advise across the project lifecycle. Travel may be required; competitive benefits accompany this role.

Qualifications

• Minimum of 7 years experience translating business requirements into architectures and implementation designs and leading design, code, and technical quality reviews.
• Minimum of 7 years experience of strong client-facing advisory, written, and verbal communication skills.
• Minimum of 5 years experience with integration architecture including working with applications to establish connectivity (JDBC, SOAP, REST, HTTP/HTTPS, JMS, File-Based), establishing development standards, identifying and creating reusable assets, leveraging strong delivery practices, creating environment strategies, leading deployments, monitoring solutions, and providing operational support.
• Minimum of 4 years of professional hands-on MuleSoft experience as a developer or architect.
• MuleSoft Certified Platform Architect certification, or the ability to obtain it within 90 days of hire.
• Minimum of 3 years experience with MuleSoft architecture, solutioning, effort estimation, API and integration design, connectors, patterns, and build components.
• Minimum of 3 years experience of Anypoint Platform, including API Manager, Runtime Manager, Anypoint Analytics, Design Center, and Exchange.
• Minimum of 6 months experience with AI and GenAI tools for productivity, architecture documentation, solution analysis, and well-structured prompting.
• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience)

Responsibilities

• Lead MuleSoft solution design and define integration architectures that align with business outcomes, enterprise standards, security requirements, and operational needs.
• Translate business and technical requirements into implementation designs using API-led connectivity and System, Process, and Experience API patterns.
• Recommend scalable MuleSoft patterns, reusable assets, environment strategies, development standards, and delivery best practices.
• Advise client stakeholders, business analysts, architects, and development teams throughout requirements, design, build, test, deployment, and support activities.
• Guide implementation teams, review architecture and technical deliverables, conduct design and code quality reviews, and mentor less experienced MuleSoft professionals.
• Support solutioning, project scoping, effort estimates, resource planning, environment configuration, deployments, monitoring, operational readiness, and knowledge transfer.
• Use AI and GenAI tools for architecture documentation, solution analysis, productivity, and well-structured prompting while validating generated artifacts for quality, security, and maintainability.

Skills

Client-facing advisory

Architecture judgment

MuleSoft knowledge

Stakeholder guidance

Delivery governance

System integration design

Communication skills

Leadership

Education

Bachelor's degree or equivalent (minimum 12 years)

Tools

MuleSoft

Anypoint Platform

API-led connectivity

Design Center

Runtime Manager

Anypoint Analytics

API Manager

Job description

Accenture in Beaverton, OR is seeking an experienced MuleSoft Architect to translate complex business needs into scalable integration solutions. You will lead design reviews, guide delivery teams, and ensure secure, reusable API ecosystems while leveraging AI to enhance architecture documentation and analysis.

Role requires strong client-facing skills, deep MuleSoft expertise, and ability to advise across the project lifecycle. Travel may be required; competitive benefits accompany this role.