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)