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Workato

Enterprise automation platform for app integration

Principal Technical Architect

Full-Time
No salary listed
Expert
Bachelor's
Hyderabad, Telangana, India
HybridMay require up to 20% global travel.
Software EngineeringAI Application Engineering

About the job

Requirements
  • A B.Tech/BE or higher in Computer Science, Engineering, or a related field is required.
  • 15+ years of total relevant experience in enterprise software architecture, design, and implementation is required.
  • 8+ years of hands-on experience with Integration Platforms such as MuleSoft, TIBCO, Oracle SOA, webMethods, or similar is required, with deep familiarity with iPaaS architecture patterns.
  • 2+ years of applied AI/Agents engineering experience building systems that leverage LLMs and agent frameworks and orchestrate them into production applications is required.
  • Hands-on experience designing and building AI agent systems, including multi-step reasoning pipelines, tool-use orchestration, and autonomous execution frameworks, is required.
  • Working knowledge of Python agent frameworks such as LangGraph, Claude Agent SDK, or equivalent is required.
  • Experience with graph database design and implementation, including entity modeling, relationship extraction, graph querying, and graph structures for contextual retrieval, is required.
  • Practical experience with RAG architectures, vector databases, embedding strategies, and hybrid retrieval combining vector, structured, and graph retrieval is required.
  • Understanding of evaluation and testing for AI systems, including building evals, measuring agent quality, confidence calibration, A/B testing prompts and pipelines, and regression testing for non-deterministic outputs, is required.
  • Familiarity with production-scale prompt engineering, including structured prompting, chain-of-thought patterns, output parsing, retry and fallback strategies, and prompt versioning, is required.
  • Experience with observability for LLM systems, including tracing, token and cost monitoring, and latency profiling, is required.
  • Experience with MCP (Model Context Protocol) standards for LLM-to-system integration is required.
  • Expertise in enterprise integration patterns, including event-driven architectures, microservices orchestration, pub/sub messaging, and data synchronization, is required.
  • Working knowledge of RESTful and SOAP APIs, webhooks, and JSON and XML data formats is required.
  • Experience with AWS, Azure, or GCP and cloud-native services such as Lambda/Functions, DynamoDB, Kafka/Kinesis, and S3 is required.
  • Familiarity with enterprise applications such as Salesforce, ServiceNow, SAP, Workday, NetSuite, or similar, and understanding how these systems participate in agentic workflows, is required.
  • Understanding of enterprise security and governance requirements, including OAuth, SSO, data residency, SOX compliance, audit trails, and role-based access control, is required.
  • Ability to communicate complex AI and architecture concepts to diverse audiences, from engineering teams to C-level executives, adapting depth and vocabulary to the audience, is required.
  • Ability to listen to a customer's business problem, decompose it into architectural components, and propose a credible path forward in real time is required.
  • Ability to operate in ambiguity across internal building and external advisory functions, context-switch, and self-prioritize is required.
  • Ability to work across Product, Engineering, Customer Success, Sales, and Marketing without formal authority is required.
  • Ability to produce clear, precise, and persuasive architecture documents, white papers, and technical briefs is required.
  • Ability to stay current with the AI agent ecosystem and distill emerging patterns into practical guidance is required.
Responsibilities
  • Support strategic enterprise engagements as an expert AI architect by roadmapping customer AI agent use cases and delivering technical deep-dives demonstrating Workato's agentic capabilities.
  • Lead architecture workshops with enterprise customers to define their AI automation strategy, including agent design, integration patterns, and governance frameworks.
  • Advise customers on applied AI best practices, including prompt engineering and agent orchestration patterns, evaluation and testing strategies for agent systems, confidence calibration, human-in-the-loop design, and continuous learning loops.
  • Build reusable technical assets, including reference architectures, solution blueprints, demonstration environments, and best-practice documentation, to enable the broader field team to position AI solutions.
  • Develop and deliver technical collateral, including architecture white papers, webinars, blog posts, and conference talks, to establish thought leadership in agentic automation.
  • Partner with Product and Engineering to feed field insights into the platform roadmap and ensure customer-facing AI capabilities evolve based on real deployment patterns.
  • Support global strategic accounts across the US, EMEA, and APAC for critical engagements as needed.
  • Architect and implement core subsystems of the autonomous Customer Success agent platform, including memory layers, the agent orchestration layer, and the decision trace architecture.
  • Design and build a Customer Knowledge Graph modeling customers, users, policies, decisions, and operational artifacts as interconnected entities and relationships, enabling queryable contextual states and policy evaluations for governance, traceability, and decision optimization.
  • Implement the confidence-based autonomy framework, including precedent matching, confidence scoring for precedent match, pattern recognition, data completeness, and policy clarity, and policy-governed escalation routing.
  • Define and design infrastructure architecture to ensure optimal performance and latency.
  • Make scalable technology selection decisions.
  • Establish evaluation frameworks and define metrics for decision quality, context accuracy, and month-over-month increases in the autonomous threshold.
Desired Qualifications
  • Experience with persisted state and human-in-the-loop patterns in LangGraph is strongly preferred.
  • Experience equivalent to Neo4j or NetworkX is a plus.
  • Familiarity with Langfuse, LangSmith, Phoenix, or similar LLM observability tools is desirable.
  • Background in Customer Success platforms such as Gainsight or ChurnZero, or CRM architecture, is desirable.
  • Prior experience in a customer-facing technical role such as Solutions Architect, Field CTO, Technical Account Manager, or Pre-Sales Engineer at a SaaS or platform company is desirable.
  • Contributions to open-source AI/agent projects or published technical content in applied AI are desirable.

About the company

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Workato

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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

  • September 24, 2026: customers surpassed 1.1 billion AI actions and 886,000 users.
  • June 29, 2026: Workato signed a second AWS collaboration and earned AWS AI Competency.
  • August 10, 2026: Hyderabad hub accelerates co-development with customers, partners, and engineers.

What critics are saying

  • Hyperscalers bundle rival automation: AWS, Workday, and ServiceNow compress Workato's pricing power.
  • Lenovo and Motorola own the consumer interface; Workato becomes replaceable middleware by 2027.
  • No public 2026 layoffs or profitability disclosure signals cost pressure and a funding overhang.

What makes Workato unique

  • AIRO, Live Process Graph, and Enterprise AI Control Plane unify orchestration, governance, and execution.
  • Workato powers Lenovo Qira and AWS agentic deployments, proving enterprise-grade multi-app execution.
  • Over 850 partners and 700 customers above $100K ARR create distribution 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

0%

1 year growth

1%

2 year growth

0%
PR Newswire
Oct 21st, 2026
Workato launches free self-serve AI agent platform in Singapore

Workato, a control and execution platform for enterprise AI, has launched a self-serve offering in Singapore. It gives customers, developers, and students across Asia access to build AI agents and MCP servers. Users can open a free account and upgrade to a paid plan as projects grow, with no contract required. The platform runs on the same governed engine that powers Workato's largest deployments. The launch follows the AI Institute Alliance, unveiled in September 2025 with seven Singapore institutions, including the National University of Singapore. Workato showcased the platform at World of Workato 2026 in Singapore. "We're putting the same enterprise-grade power trusted by the world's largest companies into the hands of every builder," said Rishi Mallik, chief growth officer.

The Mirror Democrat and Savanna Times-Journal
Oct 20th, 2026
Workato's Singapore AI Lab marks one year of homegrown talent powering global innovation.

Workato's Singapore AI Lab marks one year of homegrown talent powering global innovation. * 1 hr ago Workato(R), the leading Control and Execution Platform for Enterprise AI, today marked one year since launching its AI Lab in Singapore. Over the past year, the Lab has grown Singapore-based talent to accelerate the development of Workato AIRO(TM), built a new model for growing early-career AI talent, and partnered with SG Enable to widen access to AI careers for persons with disabilities. From Singapore to the World: Building Workato AIRO(TM) Since the Lab opened in 2025, engineers based in Singapore have worked alongside Workato's global product organisation on Workato AIRO(TM), the multi-agent system the company made generally available worldwide in July 2026. AI Lab resources helped accelerate the development and experimentation behind AIRO, including the MCP Gateway that lets enterprises securely connect their own models and tools, and the Control Plane that unifies governance of the organisation's AI operations in a single place, working alongside teams in the United States to bring the product to market. "What Singapore AI engineers brought to our product innovation was a different kind of rigor, especially in how we tested the system's reasoning under real customer conditions. This is early proof of the Lab's premise that translational AI research done in Singapore can shape innovative products used by enterprises around the world. That is exactly the kind of contribution we need more of as the Singapore AI Lab enters its second year," said Bhagat Nainani, Chief Product Officer, Workato. Holistic investment in AI Talent through real world exposure Over the past year, the Lab has been actively hiring engineers and researchers, and has given them production-grade, customer-facing exposure. The Lab treats AI domain expertise as something to be honed. By pairing new engineers directly with real customer projects, under genuine deadlines and real stakes to deliver outcomes, the company has seen staff work through rapid iterations to deliver successful outcomes. "We believe in growing our AI team, not just purely hiring our way into a strong one. We made a deliberate decision to invest in engineers and researchers by providing them with real stakes from day one. A year in, I am proud to see their achievements," said Ee Shan Sim, Head of Workato's AI Lab Singapore. "To grow Singapore's AI talent pool, we need to pair strong technical capabilities with opportunities to apply them to real-world business problems. Workato's AI Lab is a good example of how companies can help build these capabilities by investing in talent and product development here. Over the past year, Singapore-based engineers have contributed to products used by enterprises globally. We look forward to working with more companies to create similar opportunities for Singaporeans to build deep AI capabilities and contribute to global products," said Jinyong Low, Senior Vice President and Co-Head, Digital Industry Singapore. Extending Opportunity Through a New Partnership with SG Enable As part of its commitment to building an inclusive workforce, Workato will be welcoming two new colleagues through a hiring partnership with SG Enable and Autism Resource Centre (Singapore). The initiative pairs persons with autism with roles designed around their strengths. They will be joining a team responsible for the quality of data that drives company strategy and decision making. "This partnership shows what is possible when companies design roles around strengths and skills required instead of expecting people to fit a predefined mould," said Edward Chew, Senior Director, Employment and Lifelong Learning at SG Enable, the National Agency for Disability. "Meaningful careers in fast-growing fields such as AI and automation may have felt out of reach. Workato's willingness and flexibility is what turns good intentions to lasting careers, and will be a useful model for companies to create sustainable, fruitful opportunities for persons with disabilities," Chew added. To learn more about these announcements and how Workato is transforming the enterprise, visit www.workato.com/ai-control-plane. About Workato 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, Cisco, Vodafone, Atlassian, and Lucid Motors - Workato turns over 17,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com. Media gallery

TechDay
Oct 14th, 2026
Workato & Gulanga launch sovereign AI for Australia.

Workato & Gulanga launch sovereign AI for Australia. Wed, 14th Oct 2026 (Today) Workato has agreed a partnership with Gulanga Group to offer a sovereign artificial intelligence solution to Australian government and enterprise customers. The arrangement also includes Gulanga's AI offering, Dukes, which is powered by Trellis Data's Agentaus large language model. The deal links Workato's platform with Australian AI models assessed for data sovereignty requirements, and early testing and integration work with Dukes is already under way. Australian organisations face growing pressure to adopt AI tools while keeping sensitive information under local control. The partnership is aimed at agencies and businesses that want to use AI systems while meeting governance and sovereignty rules on where data is handled and which models are used. Under the agreement, Gulanga will help identify and assess Australian sovereign AI technologies for use with Workato, including large language models, domain-specific models and other emerging AI tools. Workato will integrate selected providers into its platform so customers can use those models inside governed workflows. Customers will be able to choose between sovereign and non-sovereign models, while the platform remains model-neutral. According to the companies, Dukes has been trained and fine-tuned on Australian data. They say this gives the model stronger knowledge of Australian law and policy than more general overseas alternatives. John Deeb, Field CTO at Workato, said early work with the model had shown encouraging results. "When a government agency uses a model like Dukes to draft a policy document or take action specific to its domain, the response is faster, more relevant, and more economical than frontier models. We've seen that accuracy, performance, and cost benefit by plugging Dukes into the Workato platform," Deeb said. Policy backdrop The agreement comes as sovereign AI has become a more prominent issue in Australia's policy debate. Workato recently appeared before the Joint Select Committee on Artificial Intelligence, where its executives argued for platforms that allow local and overseas model providers to compete side by side. Bhaskar Roy, Chief AI Officer at Workato, framed the issue around customer choice and the role of specialist models. "Reasoning is abundant, but results are not. Often you need specialised models to drive the right outcomes, powered by a neutral platform that provides the choice between sovereign AI and frontier models. Australia has all the key ingredients to be a global player in the AI space: natural resources, amazing talent, demand, and global trust as a nation. Workato is excited to partner with Australian AI providers to help drive innovation in Australia and globally," Roy said. He added that testing of local models had shown positive signs for business use cases. "Early testing of Australian AI models like Dukes is very promising. We are committed to providing flexible technology choices to drive outcomes for Australian businesses," Roy said. Indigenous link The partnership also has an Indigenous economic element through Gulanga, a Supply Nation-certified Indigenous ICT provider. Gulanga said its role is not only to assess the market for sovereign AI tools, but also to build commercial structures that support Indigenous social outcomes. Rick Higgins, Managing Director at Gulanga Group, said the company wanted sovereign AI to be seen as a commercial option rather than a compliance burden. "Traditionally, Sovereign AI technology is usually sold as an obligation, we think it should be an advantage. Gulanga's role is to understand the technology landscape, bring the right partners together, and make the sovereign choice the smart one. That's why, in partnership with Workato and Trellis Data, we established Dukes, with one key difference - the token economics helps fund Indigenous social outcomes. Dukes is faster and more economical than equivalent offshore models, and it delivers an Australian response. Dukes also carries the name of our late founder, Craig Dukes, who built Gulanga to establish new pathways for Indigenous people into the technology sector. His name is on the model, and his goal is funded by every token it processes," Higgins said. One early customer voice came from the Royal Flying Doctor Service, which pointed to the importance of local hosting and governance for organisations handling sensitive information. "Using an Australian trained, managed, and hosted AI model offers an ideal option for organisations like RFDS that handle sensitive personal information, require strict alignment with local laws and policies, and need complete confidence in onshore data handling," said Ryan Klose, Executive CIO at Royal Flying Doctor Service. Klose added: "We welcome Workato's commitment to providing this capability and look forward to leveraging this new capability."

PR Newswire
Oct 14th, 2026
Workato partners with Gulanga and Trellis Data to bring sovereign AI to Australian organisations

Workato has agreed with Australian firm Gulanga Group to offer government and enterprise customers a joint sovereign AI solution. Workato's chief AI officer, Bhaskar Roy, announced the deal on October 14, 2026, at World of Workato Sydney. Gulanga, a Supply Nation-certified Indigenous ICT provider, will help Workato identify and assess Australian AI technologies, including large language models (LLMs). Workato will build integrations into the providers it selects, and stay model-neutral so sovereign and frontier models can run side by side. Workato is already testing Dukes, Gulanga's AI offering powered by Trellis Data's Agentaus LLM. Dukes is trained on Australian data, and its token revenue helps fund Indigenous social outcomes.

Associated Press
Sep 23rd, 2026
Workato unveils AIRO multi-agent system with Enterprise AI Control Plane and Live Process Graph

Workato has unveiled AIRO as the new interface for its enterprise AI platform at its WOW 2026 conference. AIRO is a multi-agent system that helps users build, deploy, and govern AI solutions across their organisations. The company also introduced several new features. Live Process Graph provides AI with understanding of business operations through enterprise knowledge and process context. The Enterprise AI Control Plane offers governance, security, and cost management for AI assets, including model selection and risk controls. Additional launches include AI Registry, a centralised hub for approved AI assets, and Agent Evals, which monitors AI agent behaviour across five dimensions: correctness, tool selection, policy adherence, safety, and outcome quality. Vijay Tella, CEO of Workato, said customers need a neutral control layer to scale their AI effectively whilst understanding how business processes actually run within organisations.