MuleSoft Architect

Accenture•St. Louis, MO

4d•$80,400 - $266,300•Hybrid

About The Position

Accenture's North America MuleSoft practice, one of the largest and most experienced networks of MuleSoft professionals globally, helps leading organizations modernize through APIs, integration, automation, and emerging AI technologies. Our teams tackle complex integration initiatives across industries, enabling clients to unlock value from their applications, data, and digital platforms. We design scalable, secure, reusable, and governed solutions, from traditional enterprise integration to AI-powered architectures. Great integration is the foundation of great digital experiences, and our MuleSoft professionals are crucial in helping clients build trusted connections for data, systems, applications, and people. This role offers opportunities to work with leading clients, collaborate with experienced practitioners, develop in-demand skills, and shape the future of enterprise connectivity at the intersection of integration, data, and AI.

Requirements

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)

Nice To Haves

MuleSoft Certified Integration Architect, MuleSoft Certified Developer Level 2 certification, or any other MuleSoft or integration industry certification.
Experience using GenAI to accelerate MuleSoft code, tests, documentation, solution designs, and delivery artifacts, including review of AI-generated outputs.
Experience with Omni Gateway, Model Context Protocol, agentic integration, Anypoint MQ, CloudHub 2.0, Runtime Fabric, or MuleSoft CI/CD pipelines.
Experience implementing API security patterns such as OAuth, JWT, TLS, mTLS, and policy-based access control.
Experience with HL7, FHIR, offshore delivery teams, or integration with SAP, Salesforce, Workday, Oracle Cloud Applications, ServiceNow, or similar platforms.
Experience with non-MuleSoft integration platforms such as Boomi, SnapLogic, Informatica, Workato, or similar technologies.

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.