Agent Architect, Zafin

• Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, or a related discipline, or an equivalent combination of education and experience
• Extensive experience designing complex enterprise software solutions, distributed systems, or cloud-based architectures
• Strong understanding of modern AI solution architectures, including agent orchestration, workflow automation, large language models (LLMs), retrieval-augmented generation (RAG), and human-in-the-loop design patterns
• Experience designing scalable integration architectures using APIs, event-driven architectures, enterprise messaging, and cloud-native technologies
• Knowledge of enterprise architecture principles, application architecture, security frameworks, identity and access management, and solution governance
• Experience balancing technical architecture decisions with business objectives, delivery timelines, operational requirements, and long-term maintainability
• Demonstrated ability to define reusable architecture patterns, technical standards, and reference designs that support multiple implementation teams
• Strong analytical and systems thinking skills with the ability to solve complex technical and business problems under ambiguity
• Excellent communication and stakeholder management skills with experience collaborating across Product, Engineering, Architecture, Security, and client technology organizations
• Ability to mentor technical teams, facilitate architecture discussions, and build alignment among diverse technical and business stakeholders

Desirable

• As an Agent Architect, you will design intelligent agent solutions that enable organizations to transform business processes through human and AI collaboration. You will be responsible for defining the end-to-end architecture of agent-based solutions, ensuring they are scalable, secure, governed, and aligned with both client business objectives and enterprise technology standards
• Working at the intersection of business, technology, and artificial intelligence, you will design agent ecosystems, orchestration patterns, workflows, human-in-the-loop controls, and integration strategies that enable AI agents to operate effectively within complex enterprise environments. You will partner closely with Product, Engineering, Platform Architecture, AI Governance, and client technology teams to translate business capabilities into robust technical architectures that can be implemented, scaled, and reused across multiple client engagements
• As a technical leader, you will establish architecture patterns, promote engineering best practices, and make informed design decisions that balance innovation, governance, delivery speed, and long-term maintainability. Your work will directly influence the quality, reliability, and success of AI-powered solutions delivered to clients
• Design end-to-end agent solution architectures that align with client business objectives, enterprise architecture principles, security requirements, and AI governance standards
• Define agent orchestration models, workflow patterns, tool utilization strategies, decision flows, and interaction models that enable effective human and agent collaboration
• Design human-in-the-loop controls, escalation paths, approval mechanisms, and exception handling to ensure safe, transparent, and reliable AI-assisted business processes
• Develop reusable architecture patterns, reference implementations, and design standards that improve consistency, scalability, and maintainability across AI initiatives
• Collaborate with client technology teams to understand existing enterprise architectures, integration requirements, and operational constraints while guiding solution design decisions
• Partner with AI Product Managers, Domain Consultants, AI Governance Leads, and Engineering teams to translate business requirements into scalable technical architectures
• Work closely with Agent Engineers to guide implementation decisions, resolve technical challenges, and ensure architectural integrity throughout delivery
• Coordinate with Platform Architecture to ensure solution designs remain aligned with platform capabilities, shared services, technical standards, and future platform evolution
• Design integration approaches leveraging APIs, enterprise applications, data services, identity platforms, and external tools to support intelligent agent capabilities
• Evaluate architectural trade-offs across scalability, resilience, security, maintainability, performance, and user experience to support informed technical decision-making
• Review solution implementations to ensure architectural standards, governance requirements, and quality expectations are consistently met
• Continuously evaluate emerging AI technologies, orchestration frameworks, and architectural patterns to evolve solution design practices and improve future implementations