Full-Time

Forward Deployed Engineer

Workato

Workato

1,001-5,000 employees

Enterprise automation platform for app integration

No salary listed

Hyderabad, Telangana, India

In Person

Bachelor's

Category
Software Engineering (2)
,
Required Skills
Middleware
LLM
Python
NoSQL
Ruby
Java
RDBMS
RAG
REST APIs

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Requirements
  • 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, with at least 1 years of experience in Workato, 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.
  • 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.
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
  • 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.
  • 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.
Desired Qualifications
  • Experience with cloud technologies—iPaaS, SaaS applications, and cloud infrastructure—is a plus.
  • Experience working with cloud business apps like Workday, NetSuite, Salesforce, 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.

Workato is an enterprise automation platform that helps businesses connect apps and automate workflows using a low-code/no-code approach (iPaaS). Users create “recipes,” automated tasks that run across different applications through a drag-and-drop interface and a library of connectors, enabling real-time data synchronization across HR, finance, marketing, and sales. The platform stands out with its broad app integration library, emphasis on enabling business users to automate without heavy engineering, enterprise-grade security and governance, and AI-assisted tools like Workato Copilot for natural-language automation. Its goal is to reduce the bottleneck between business teams and IT, helping organizations streamline operations and accelerate digital transformation as usage scales.

Company Size

1,001-5,000

Company Stage

Series E

Total Funding

$415M

Headquarters

Palo Alto, California

Founded

2013

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Simplify Jobs

Simplify's Take

What believers are saying

  • Hyderabad’s August 11, 2026 hub expands Workato’s co-development footprint with customers and GSIs.
  • Otto reached 1,000 daily users before general availability, validating demand.
  • LTTS FinShield AI cut fraud reviews from hours to under 10 minutes.

What critics are saying

  • Boomi, Tray.ai, Zapier, and n8n now bundle MCP, squeezing Workato’s pricing power.
  • Otto’s autonomy raises hallucination and permission-abuse risk before GA in 2026.
  • By 2027, Microsoft, Salesforce, or ServiceNow can absorb orchestration into native suites.

What makes Workato unique

  • Workato’s Enterprise MCP Registry governs AI capabilities across internal, partner, and vendor systems.
  • Otto runs across Slack, Teams, and enterprise apps with auditability and approvals.
  • Fortune 500 adoption and 14,000 systems signal entrenched enterprise integration depth.

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Benefits

Flexible working arrangements

EAP

Health insurance

Stock options

Professional development

PTO

Company events & recreation time

Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

0%

2 year growth

0%
Analytics India Magazine
Aug 10th, 2026
Workato opens Hyderabad AI Collaboration Hub for Enterprise AI development.

Workato opens Hyderabad AI Collaboration Hub for Enterprise AI development. The new facility will bring customers, partners, and engineers together to build and deploy AI solutions. AUGUST 10, 2026, 2:50 PM Key Takeaways What actually matters. Workato has launched an AI Collaboration Hub in Hyderabad to facilitate enterprise AI development. The hub aims to streamline co-development of AI solutions between customers, partners, and engineers. Cloud-based integration and automation platform Workato has opened AI Collaboration Hub in Hyderabad to help customers and partners co-develop and deploy enterprise AI solutions. The company announced that Hyderabad will be home to its third such hub, after San Francisco and Singapore. The facility is located at Aurobindo Orbit in HITEC City and is designed to bring customers, global system integrator partners, and Workato engineers together to build production-ready agentic AI workflows. The hub houses an Enterprise AI Collaboration Centre where customers, partners, and developers can jointly design, test, and deploy AI solutions on their own enterprise systems. Workato said the initiative aims to shorten the time between AI development and production deployment by enabling teams to work directly with its engineers.

IT Digest
Jul 27th, 2026
Workato and L&T Technology Services launch FinShield AI fraud investigation assistant.

Workato and L&T Technology Services launch FinShield AI fraud investigation assistant. Enterprise AI control and execution platform Workato(R), alongside strategic Global Systems Integrator partner L&T Technology Services (LTTS), announced the launch of FinShield AI on the Workato Agentic Marketplace. The specialized agentic AI solution automates resource-heavy fraud investigation workflows for financial institutions while maintaining complete human oversight and auditability across all case decisions. Fraud case reviews represent one of the most time-consuming operational bottlenecks in modern banking. Reviewing transaction histories, gathering evidence, and compiling documentation traditionally requires two to three hours per case, tying up Level 1 investigation teams and delaying critical threat response times. FinShield AI automates these repetitive tasks to dramatically condense investigation cycles without relinquishing human decision-making control. "Fraud teams don't need another dashboard. They need the manual work taken off their plate without losing control of the decision," said David Ng, Global VP, Partner GTM and Alliances at Workato. "FinShield AI is what our Global ecosystem can build on Workato: a purpose-built agentic solution a bank can trust in a regulated environment, live on the Agentic Marketplace instead of stuck in a pilot." Key operational benchmarks and performance metrics. According to internal benchmarking and initial implementation data from LTTS, FinShield AI delivers substantial operational gains for fraud review divisions: Accelerated False-Positive Processing: Reduces false-positive review cycles from two to three hours down to under 10 minutes per case. Significant Workload Reduction: Cuts manual investigation workloads by 40% to 50%, enabling fraud specialists to focus on high-priority threats. Automated Regulatory Reporting: Generates audit-ready Suspicious Activity Reports (SARs) automatically, saving four to six hours of manual documentation per case. Immediate Cost Efficiency: Early implementation results point to 20% to 25% cost savings across teams with more than 25 Level 1 investigators. "Fraud investigators should spend their time making critical decisions, not gathering data and documenting cases," said Alind Saxena, Executive Director and President, Strategic Initiatives & Growth Markets at L&T Technology Services. "FinShield AI automates repetitive work, reducing investigation time from hours to minutes while maintaining human oversight and a complete audit trail. Together with Workato, we are helping banks, fintechs, and credit unions bring trusted agentic AI into real-world operations." Built on governed multi-agent architecture. FinShield AI executes across three core automated workflows: active fraud investigation, suspicious activity report generation, and broad fraud pattern analysis. Operating on Workato's enterprise governance layer, every action performed by the agent is mapped directly to a verified user identity and recorded in a comprehensive audit trail for regulatory compliance. Leveraging Workato's orchestration infrastructure, LTTS developed and deployed the multi-agent agentic solution in five days - compared to conventional two- to three-week development cycles. FinShield AI is available immediately on the Workato Agentic Marketplace. Banking leaders, risk officers, and fintech executives can evaluate agent workflows and request deployment details by visiting Workato's digital marketplace platform.

Associated Press
Jul 23rd, 2026
Workato and L&T Technology Services launch FinShield AI to cut fraud review time from hours to 10 minutes

L&T Technology Services has launched FinShield AI, a fraud investigation assistant built on Workato's platform, now available on the Workato Agentic Marketplace. The agentic AI tool automates evidence gathering, analysis, and documentation for financial institutions' fraud investigations. According to LTTS' internal benchmarking, FinShield AI reduces false-positive review time from two to three hours to under 10 minutes per case. It can lower manual investigation workload by 40% to 50% and cut suspicious activity report generation time from four to six hours per case. Early implementation data from LTTS shows the solution was built in five days, compared with a typical two- to three-week development cycle. Initial results indicate 20% to 25% cost savings across teams of more than 25 Level 1 investigators. The system maintains human oversight with full audit trails for compliance.

ITnews
Jul 22nd, 2026
How the Fair Work Commission safely deployed Agentic AI in weeks, not years.

How the Fair Work Commission safely deployed Agentic AI in weeks, not years. Jul 22 2026 6:00AM Government AI moves fast, with guardrails. Prioritising strict governance and rapid development, Australia's Fair Work Commission deployed governed AI agents into production in weeks, enhancing operational efficiency while maintaining public trust. Australia's Robodebt scandal left a scar on public trust in government automation. For government technology leaders, the message was unambiguous: automation without governance is a liability. Joshua Pope, CTO of the Fair Work Commission (FWC), understood what AI could do for a tribunal that serves millions of Australians navigating workplace disputes. He also understood the stakes of getting it wrong. In a statement on operational reform, the Commission's General Manager, Murray Furlong, pointed out that "by the end of financial year 2025-26, the Commission's total workload will have increased by over 70% in the space of 3 years", an operational strain that's being compounded by the growing use of generative AI tools among the people the Commission serves. Redefining what speed looks like in government, FWC moved from signed paperwork to onboarding with Workato within a single week, then immediately began building its first AI agent. "Governance is really hard," Josh says. "There was a very public bad experience with AI making choices on behalf of people, without a human in the loop. So for us, the ability to check, validate, and verify at every step was non-negotiable." FWC needed a platform that met the Australian government's strict security and data sovereignty requirements, while giving its small technology team the agility to build AI solutions and push them into production at pace. What separated FWC's approach from the typical government procurement cycle was preparation. Before the contract was signed, Josh made platform training mandatory for his team. "I specifically said I don't want to see a single sales pitch as part of the onboarding week," Josh says. "Just show me how to build stuff." The result was a procurement-to-production timeline that defies government norms. FWC moved from signed paperwork to onboarding within a single week, and attempted to build and deploy their first Workato AI agent on day one. A custom IT Support Genie and License Optimisation Genie are now live internally, giving the Commission's technology group a governed, repeatable process for deploying AI agents. Each solution sits within the compliance guardrails that post-Robodebt Australia demands, with explainability baked into every step. While the AI Plan for the Australian Public Service 2025 sets an 18-month implementation horizon for every public servant to have access to generative AI tools supported by proper governance and training, FWC is already live. FWC's Infrastructure Manager, Kris Deep, leads the operational deployment of these agents, focusing on use cases that deliver value for his ICT team and the people they support. Their IT Support Genie is the centrepiece, customised with more than 30 skills. FWC supports around 59 hearing rooms across the country, each running an average of 50 virtual and in-person hearings each day. A single room going down can delay a case someone has waited to have heard. Status checks previously required Kris 's ICT team to log into four separate portals and manually review device statuses. A time-consuming, error-prone process that was only feasible once a day. If a hearing room went down mid-morning, the team often found out from frustrated users rather than from their own monitoring. Now, with IT Support Genie, the team runs virtual conferencing checks multiple times daily across all systems in a single pass. The report flags devices with issues, affected rooms, polling health, unhealthy devices, and domain status. "The Genie catches issues before our users do, and that changes the entire dynamic for my team," Kris says. The IT Support Genie handles much more: from provisioning overseas conditional access in five minutes (down from 30 minutes), to streamlining staff onboarding and offboarding (saving up to an hour per instance). All without needing the ICT team to intervene manually. Built on Workato within a single week, FWC's latest Bundle Document Genie agent pulls data from multiple sources to generate a master investigation report in two minutes, synthesising case notes often spanning more than 30 files. This saves at least an hour for associates who previously had to manually retrieve case information from a clunky web interface and Dynamics. FWC's approach to productivity carries a lesson that most AI deployments overlook. Freeing up capacity is only half the equation. The other half is knowing exactly where that capacity should go next. "I'm very careful with giving time to people without a specific directive," Josh says. "We're not giving time back for people to decide what to do with it - they could fall into the trap of doing the same old things. We're replacing that time with things we've already identified." The Commission is now extending its agentic capabilities to public-facing services, with a contact centre agent already in development. Murray's statement highlights that the Commission's helpline takes a high volume of calls on matters outside its jurisdiction, and confirmed it is assessing an AI voice agent to help triage those calls before they reach staff, with an aim "to reduce our call wait times and redirect queries as soon as possible". Josh expected pushback from the frontline teams who would be affected by a change like that, but their reaction surprised him. "Those at the frontlines said, no, triaging calls is the last thing they want to be caught up with. They wanted to focus on actually helping the people they connected with. So your better ROI comes from removing friction points in people's day jobs, not from where you think you can see cost savings." Josh is a design partner for Workato's Data Genie, providing real-world government input into the product's development before general availability. His advice to other government technology leaders considering AI is practical. "Find what you can reuse first," Josh says. "Don't get stuck researching where your internal ROI is and commissioning a bespoke solution every time. Research on where you can pick something up and just configure it for your use case." The Commission's approach sits within a wider programme of reform, detailed in General Manager Murray Furlong's May 2026 statement on change at the Commission. For a closer look at why visibility alone does not amount to governance, see The Control Tower Fallacy whitepaper.

Tech Coffee House
Jul 19th, 2026
SP launches platform to rewire work for the AI Era.

SP launches platform to rewire work for the AI Era. techcoffeehouse Singapore Polytechnic (SP) has launched the Human Capital Collaboratory (HCC) at HR Learning Fest (HRLF) 2026, a new platform designed to help companies redesign work, strengthen human capability and translate workforce transformation into sustained business value. The event, themed "Career Rewired: Resilience, Relevance and Reinvention in the AI Era," was graced by Mr Shawn Huang, Senior Parliamentary Secretary, Ministry of Finance and Ministry of Manpower, as Guest-of-Honour. Built on SP's industry engagements with close to 1,000 organisations over the past three years, HCC follows a four-step pathway: business challenge, work redesign, human capability, and sustained value. It supports companies through job and workflow redesign, AI-enabled solutions, continuing education and training (CET) pathways, leadership development and fair workplace practices, delivered through SP staff consultancy, student projects and industry pilots. A capability gap, not a skills gap. HRLF 2026 also marked the release of The Capability Advantage - Redesign to Reskill for Competitive Edge, the fourth edition of the Job Skills Insight series by the Institute for Human Resource Professionals (IHRP). Drawing on the perspectives of 335 HR professionals, business leaders and workforce members across more than 40 sectors, the report's central diagnosis is that Singapore's persistent capability gap is not a skills deficit but an application deficit: skills are being built faster than work is being redesigned to deploy them, creating what the report calls "capability debt." The report highlights three priorities: giving people managers stronger support and clearer mandates to translate learning into daily practice; building a shared view of transformation progress between leadership and HR; and moving organisations from endorsement to execution through stronger governance and job redesign. "AI transformation is not only about adopting technology; it is about redesigning work so people can use it well. A capability advantage is created when skills can be applied in daily work, supported by managers, clear ownership and the right systems. Through HCC, SP will bring education, industry and partners together to turn transformation intent into practical action and sustained business value," said Mr Lucas Tok, Director, School of Business, Singapore Polytechnic. Five new industry partnerships. As part of HRLF 2026, SP signed memoranda of understanding with five partners to expand workforce transformation and applied industry collaboration: the Singapore Human Resources Institute, the Singapore Business Federation, Omni HR, Workato and Pacific Integrated Logistics. The partnerships span HR technology, automation curriculum, skills-first certification, and logistics-sector job redesign. Together, SP frames the report and HCC as connecting diagnosis with action, helping organisations identify where capability is constrained and move towards work redesign, capability-building and sustained value as AI reshapes tasks, roles and the question of industry relevance. Share with your friends: Loading...