Senior Forward Deployed Engineer
Workato
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This role on the market
591 open deployed roles across 142 companies are on ApplySarthi right now, most of them in Bengaluru (14), Hyderabad (4), Delhi NCR (3).
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What deployed roles keep asking for: Python (48%), AWS (39%), LLMs (35%), GCP (32%), Azure (31%), JavaScript (24%), TypeScript (24%), CI/CD (23%) — counted across their open postings here.
Remote Forward Deployed Engineer jobs · Java jobs · LLMs jobs · Machine learning jobs · Microservices jobs
Workato has 71 open roles listed here.
- Senior Manager, Professinal Services
- Senior Infrastructure Engineer (PostgreSQL DBA)
- Senior Infrastructure Engineer (PostgreSQL DBA)
- Senior Infrastructure Engineer (PostgreSQL DBA)
- Senior Infrastructure Engineer (PostgreSQL DBA)
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for deployed roles keep coming back to Python, AWS, LLMs, GCP. Practise those questions before you sit with Workato.
Questions you are likely to be asked
- Why do you want to join Workato?
- What is your experience with LLMs? Tell me one thing you learned the hard way.
- What do you do when a production issue happens on your code?
- Walk me through a system you built. How was it designed, and what would you change now?
- Tell me about a hard bug you tracked down. How did you find the cause?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Senior Forward Deployed Engineer at Workato interview free →Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com.
Why join us?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:
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Business Insider named us an “enterprise startup to bet your career on”
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Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
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Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
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Quartz ranked us the #1 best company for remote workers
We are looking for an experienced Senior 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.
In this role, you will also be responsible to:
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Design intelligent, autonomous, and efficient agentic AI workflows that utilize multi-agent collaboration, orchestration, and the automation capabilities provided by the Workato platform
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Design and deploy Agentic AI solutions 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)
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Develop advanced prompting, memory management, and behavior-planning techniques to enable LLMs and agents to reliably author and execute complex workflows
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Act as a technical solutions expert with strong aptitude in troubleshooting and analyzing AI-driven architectures, including scalable RAG pipelines and agent frameworks built using the Workato Agentic AI platform.
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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.
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Continuously monitor and improve AI system performance, ensuring efficiency and reliability
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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.
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Collaborate with cross-functional teams to integrate AI workflows into existing IT frameworks, ensuring smooth and seamless deployment.
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Contribute to internal process improvements and promote knowledge sharing by adding to Workato’s knowledge base.
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Play an instrumental role in all phases of product development, from ideation to implementation, contributing valuable insights and expertise.
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Assist the product manager in creating technical and design specifications, ensuring alignment with product goals and user needs.
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Leverage strong communication skills to effectively translate complex technical concepts into accessible insights for non-technical audiences.
Qualifications / Experience / Technical Skills
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BTech/BE or higher technical education in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
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A total of 8+ years of relevant experience in design, development, and implementation, with at least 3 years of experience in Workato, is a must.
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Proven experience in AI engineering, with a focus on agent-based systems.
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Demonstrated ability to design and implement scalable AI-driven workflows that enhance IT operations.
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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.
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5+ years of 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.
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Strong working knowledge of APIs—RESTful, SOAP/XML. Solid understanding of data structures—JSON. Sound knowledge of any RDBMS/NoSQL.
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2-3 years of coding experience (Java/Python/Ruby).
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Technical background or a solid understanding of technology and industry trends, especially in the app integration space.
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Experience working with cloud business apps like Workday, NetSuite, Salesforce, ServiceNow, Marketo is a plus.
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Working knowledge of Microservices or API-based integration architecture, event-driven architecture, and process automation via BPM or RPA is a plus.
Soft Skills / Personal Characteristics
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Strong collaboration skills, ability to adapt to a dynamic start-up environment with a passion for making an impact
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Strong critical thinking, analytical skills with an entrepreneurial and proactive mind-set
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Ability to effectively prioritize tasks and manage time, even under high-pressure situations
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Strong written and oral communication skills in English, with the ability to convey complex technical concepts effectively to a non-technical audience
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Fast learner who can independently conduct extensive research, and synthesize ideas, information and options quickly
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Be proactive about solving problems and be ready to take on additional initiatives and responsibilities as they emerge
(REQ ID: 2833)
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Listed on greenhouse · posted 2026-06-16. ApplySarthi collects openings and links to application pages; the role is advertised by Workato, not by us.