engineering
Posted 4 hours agoForward Deployed Engineer
at Workato
Boston, United StatesOn-site
Responsibilities
- 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 •
- 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 •
- Collaborate with cross-functional teams to integrate AI workflows into existing IT frameworks, ensuring smooth and seamless deployment •
Requirements
- Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform.
- 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.
- 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. •
- 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 •
- 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 •
- BTech/BE or higher technical education in Computer Science, Artificial Intelligence, Machine Learning, or a related field •
- 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
- 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 •
Experience
- A total of 4+ years of relevant
Benefits
- 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: 2615
Contact
- To learn more, visit www.workato.com Why join us?
Additional details
- 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.
- 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!
- 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 Responsibilities