Senior MuleSoft Architect - AI-Powered Integration Leader

Accenture PLC

Redmond

On-site

AUD 134,000 - 379,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, vision
Life insurance
Long-term disability
401(k) plan
Bonus opportunities
Paid holidays
Paid time off

Job summary

Accenture is seeking a senior MuleSoft Architect to lead design and delivery of integration solutions for enterprise clients. You will translate complex business requirements into scalable architectures, guide delivery teams, and establish standards across the project lifecycle.

Strong client-facing skills and hands-on MuleSoft proficiency are essential to drive secure, reusable API ecosystems. Role emphasizes API-led connectivity, Anypoint Platform, and AI-assisted architecture documentation

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

MuleSoft architecture
API-led connectivity
Client-facing advisory
Design reviews
Anypoint Platform
API patterns
Solution design

Education

Bachelor's degree or equivalent

Tools

MuleSoft Anypoint Platform

Job description

Accenture is seeking a senior MuleSoft Architect to lead design and delivery of integration solutions for enterprise clients. You will translate complex business requirements into scalable architectures, guide delivery teams, and establish standards across the project lifecycle.

Strong client-facing skills and hands-on MuleSoft proficiency are essential to drive secure, reusable API ecosystems. Role emphasizes API-led connectivity, Anypoint Platform, and AI-assisted architecture documentation

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