
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
Business Insider named us an “enterprise startup to bet your career on”
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz ranked us the #1 best company for remote workers
We are looking for an experienced Forward Deployed Engineer to join our Forward Deployed Engineering team.. In this role, you will be responsible for designing, developing, and deploying advanced AI agentic solutions that exhibit autonomous, proactive, and adaptive behaviors. This role requires a deep understanding of AI/ML technologies, integration, automation experience, and solution architecture, combined with strong problem-solving skills and the ability to collaborate across multidisciplinary teams.
Implement agent-based AI solutions using the Workato Agentic AI platform
Implement intelligent, autonomous, and efficient agentic AI workflows that utilize multi-agent collaboration, orchestration, and the automation capabilities provided by the Workato platform
Implement and deploy Retrieval-Augmented Generation (RAG) systems using Workato’s Agentic AI capabilities, leveraging its connectors, workflows, and recipes to enable context-aware, grounded, and real-time responses from large language models (LLMs)
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 aptitude for troubleshooting and analyzing 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 to ensure alignment with both technical and business needs, as well as satisfaction and successful implementation
Collaborate with cross-functional teams to integrate AI workflows into existing IT frameworks, ensuring smooth and seamless 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
Assist the product manager in creating technical and design specifications, ensuring alignment with product goals and user needs
Leverage strong communication skills to effectively translate complex technical concepts into accessible insights for non-technical audiences
BTech/BE or higher technical education in Computer Science, Artificial Intelligence, Machine Learning, or a related field
A total of 4+ years of relevant experience in design, development, and implementation.
1+ year of experience with Workato or similar workplace orchestration and integration platform, is a must
Proven experience in AI engineering, with a focus on agent-based systems
Demonstrated ability to design and implement scalable AI-driven workflows that enhance IT operations
Knowledge of implementing integration projects is essential. Hands-on experience with automation technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and databases
Experience working with integration platforms such as Workato, TIBCO, Dell Boomi, MuleSoft, or other integration/automation tools is a plus. Experience with cloud technologies—iPaaS, SaaS applications, and cloud infrastructure—is also a plus
Strong working knowledge of APIs—RESTful, SOAP/XML. Solid understanding of data structures—JSON. Sound knowledge of any RDBMS/NoSQL
Hands-on experience with any of the following: Java, Python, or Ruby
Technical background or a solid understanding of technology and industry trends, especially in the app integration space
Experience working with cloud business apps like Workday, NetSuite, Salesforce and ServiceNow - Marketo is a plus
Good knowledge of microservices or API-based integration architecture, event-driven architecture, and process automation via BPM or RPA is a plus
Strong collaboration skills, ability to adapt to a dynamic start-up environment, with a passion for making an impact
Ability to effectively prioritize tasks and manage time, even under high-pressure situations
Strong written and oral communication skills in English, with the ability to convey complex technical concepts effectively to a non-technical audience
Fast learner who can independently conduct extensive research, and synthesize ideas, information, and options quickly
Proactive in solving problems and ready to take on additional initiatives and responsibilities as they emerge
For candidates based in California, New York, and Colorado the expected salary range for this role is $70,000–$100,000 not including bonus. Actual compensation will vary based on experience, qualifications, and location. This role may also be eligible for equity and benefits.
Job Req ID: 2614
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Between 500 - 2,000 employees
2013
$415,000,000
Series E
$200,000,000 USD
Series D
$110,000,000 USD
Series C
$70,000,000 USD
Series B
$25,000,000 USD
Series A
$10,000,000 USD