AI Expertise Architect

This is a dynamic role for an experienced AI solutions engineer to design, develop and deploy cutting-edge AI systems.

• Design and implement intelligent agent-based AI solutions using advanced technologies such as Workato's Agentic AI platform.
• Develop scalable AI workflows that utilize multi-agent collaboration, orchestration and automation capabilities provided by the Workato platform.
• Design and deploy Retrieval-Augmented Generation (RAG) systems using Workato's Agentic AI capabilities to enable context-aware, grounded and real-time responses from large language models.
• Develop advanced prompting, memory management and behavior-planning techniques to enable LLMs and agents to reliably author and execute complex workflows.
• Act as a technical solutions expert with strong analytical skills and ability to troubleshoot and analyze AI-driven architectures including scalable RAG pipelines and agent frameworks built using the Workato Agentic AI platform.
• Develop and maintain robust, scalable AI-powered IT workflows with agent-based decision-making, dynamic retrieval mechanisms and seamless integration using the Workato Agentic AI platform.
• Continuously monitor and improve AI system performance ensuring efficiency and reliability.
• Work closely with customers to understand use cases and deliver tailored, scalable agentic AI and RAG-based solutions using the Workato Agentic AI platform while prioritizing exceptional customer service.
• Collaborate with cross-functional teams to integrate AI workflows into existing IT frameworks ensuring smooth deployment.
• Contribute to internal process improvements and promote knowledge sharing by adding to Workato's knowledge base.
• Play an instrumental role in all phases of product development from ideation to implementation contributing valuable insights and expertise.

Requirements:

• Bachelor's degree or higher in Computer Science, Artificial Intelligence, Machine Learning or related field.
• A minimum of 8 years of relevant experience in design, development and implementation with at least 3 years of experience with the Workato platform.
• Proven experience in AI engineering with focus on agent-based systems.
• Demonstrated ability to design and implement scalable AI-driven workflows enhancing IT operations.
• Knowledge of implementing integration projects is essential with hands-on experience with automation technologies middleware integration architecture patterns web services technologies enterprise messaging patterns APIs SOA ESB BPM SDKs and databases.
• 5+ years of experience working with integration platforms such as Workato TIBCO Dell Boomi MuleSoft or other integration/automation tools is a plus.
• Strong working knowledge of APIs—RESTful SOAP/XML Solid understanding of data structures—JSON Sound knowledge of any RDBMS/NoSQL.
• 2-3 years of coding experience Java/Python/Ruby.
• Technical background or solid understanding of technology and industry trends especially in the app integration space.
• Experience working with cloud business apps like Workday NetSuite Salesforce ServiceNow Marketo is a plus.
• Working knowledge of Microservices or API-based integration architecture event-driven architecture and process automation via BPM or RPA is a plus.

Skills:

• Strong collaboration skills with ability to adapt to a dynamic environment.
• Strong critical thinking analytical skills with entrepreneurial proactive mindset.
• Ability to effectively prioritize tasks manage time even under high-pressure situations.
• Strong written oral communication skills in English with ability to convey complex technical concepts effectively to non-technical audience.
• Fast learner who can independently conduct extensive research synthesize ideas information options quickly.
• Be proactive about solving problems ready to take on additional initiatives responsibilities as they emerge.