Contract role: Sr. Principal Integration Solution Architect with Mulesoft, Agentic AI Exp at Texas (Remote)

Sr. Principal Integration Solution Architect with Mulesoft, Agentic AI Exp Texas (Remote) Long Term Contract • Mandatory Skills: Python, Mulesoft, Integration and cloud platforms, Agentic AI • Proficient in integration and cloud platforms, including MuleSoft, Informatica, GCP, and Azure. • Demonstrated experience enabling AI/ML or GenAI solutions through integration architecture (APIs, events/streams, data pipelines, and platform integrations What you will do: • As the Sr. Principal Integrations Solution Architect, you will… • Design AI-enabled integration solutions across a portfolio that address significant business problems and deliver measurable value. • Evolve and maintain conceptual and high-level architecture for integration-related initiatives, ensuring consistency with enterprise and domain-level guiding principles and business objectives. • Ensure solutions meet broad non-functional requirements, including resiliency, availability, maintainability, upgradeability, and scalability. • Shepherd the detail design ensuring the detail design aligns with the high-level design and architecture direction. • Communicate architectural approach to stakeholders, translating technical concepts for business and cross-functional understanding. • Who you are: • Strong leadership in solution architecture and strategic delivery, from vision through execution, including cross-functional team management and stakeholder communication. • Strong knowledge of system development life cycle (SDLC) methodologies, including waterfall, agile, SAFe, DevOps, and others. • Strong technical expertise across modern IT ecosystems, such as SaaS, IaaS, PaaS, SOA, APIs, microservices, event-driven, batch, and streaming. • Proficient in integration and cloud platforms, including MuleSoft, Informatica, GCP, and Azure. • Demonstrated experience enabling AI/ML or GenAI solutions through integration architecture (APIs, events/streams, data pipelines, and platform integrations). • Working knowledge of Responsible AI considerations (data privacy, security, access controls, model risk, auditability) as they impact integration design. • Strong skills in translating business needs into technical solutions and mentoring team members through knowledge sharing and collaboration. Minimum Qualifications/Requirements: • Bachelor’s degree in related field (e.g., Computer Science, Computer Engineering, Information Technology, System Analysis, etc.) or equivalent combination of education and work experience • Typically, 8+ years of experience in IT and business/industry including architecture experience (design, development, deployment, road-mapping), systems life cycle management, and infrastructure planning and operations • Experience in working in multiple, diverse technologies and processing environments. • Native-level proficiency/fluent in English • Experience in DevOps and Agile technology environments (preferred)