Federal Mulesoft Solution Architect

Thunder • United States,

15h • Remote

About The Position

We are seeking a MuleSoft Solution Architect to lead delivery of rapid, production-first implementations as part of our accelerated service offerings. This role combines solution architecture, integration leadership, and delivery ownership to activate agent-driven use cases leveraging MuleSoft and enterprise data platforms. This individual will act as the project leader, responsible for aligning business outcomes, defining architecture, and ensuring successful delivery of a production-ready use case within an agreed-upon timeframe. The ideal candidate has deep experience in API-led connectivity, enterprise integration architecture, and platform design, along with the ability to drive delivery outcomes in a fast-paced, client-facing environment.

Requirements

• 7+ years of experience in integration architecture and platform design
• 3+ years of hands-on experience with MuleSoft Anypoint Platform
• Strong understanding of API-led connectivity and microservices architecture
• Experience integrating enterprise systems (ERP, CRM, SaaS, legacy)
• Strong ownership mindset (end-to-end accountability), with experience leading client-facing delivery engagements
• Ability to operate in fast-paced, outcome-driven delivery models, balancing architecture with speed
• Outcome-oriented (not feature-oriented) and comfortable with ambiguity and rapid delivery cycles
• Strong communication skills with ability to engage both technical and business stakeholders

Nice To Haves

• Experience with Salesforce Data Cloud and/or Informatica (MDM, governance)
• Exposure to AI/agent architectures, including: API exposure for AI tools (MCP concepts), Agent orchestration patterns
• Experience with event-driven architecture and real-time integrations
• Familiarity with LLM integration patterns and observability (token usage, monitoring)

Responsibilities

• Define end-to-end architecture for agent-enabled workflows, integrating MuleSoft, Application, Data, and AI platforms
• Design API-led architectures (System, Process, Experience APIs) aligned to business use cases
• Establish patterns for MCP-based API exposure for AI agents
• Define patterns for agent-to-agent (A2A) interaction and coordination, enabling agents to collaborate and invoke enterprise capabilities through MuleSoft APIs
• Define integration strategy across ERP, SaaS, and legacy systems
• Lead execution of a production-first use case, ensuring delivery within defined timeline
• Align stakeholders on business outcomes, success criteria, and scope boundaries
• Drive architecture, backlog prioritization, and delivery execution
• Ensure delivery of: Production-ready workflows, Real system integrations, Measurable business outcomes
• Collaborate on establishing data contexts (MDM, governance, contextual data)
• Integrate Data, Data Cloud and/or Informatica into solution architecture
• Define how AI agents interact with enterprise systems via APIs
• Ensure proper use of LLM gateway patterns and token monitoring considerations
• Act as primary point of accountability for delivery success (architecture + execution)
• Provide lightweight project management oversight (timeline, risks, dependencies)
• Lead workshops, demos, and stakeholder alignment sessions
• Establish governance, DevOps readiness, and expansion roadmap
• Partner with Salesforce, MuleSoft, and Data Foundation stakeholders
• Support pre-sales and solutioning on new opportunities
• Translate technical architecture into clear business value narratives

Benefits

• Medical, Dental, Vision, and Employer-Paid Life/Disability Insurance
• Stock options
• Mentorship, certifications, and hands-on experience
• Remote work
• Flexible PTO (with a 2-week minimum)
• Generous leave policies

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed