Principal Technical Architect

Workato, Inc.

Job Overview

Location

Hyderabad, India

Job Type

Full-time

Full Job Description

📋 Description

• As a Principal Technical Architect, AI at Workato, you will operate at the intersection of applied AI engineering and customer-facing technical strategy, serving as both a trusted advisor to enterprise clients and a core builder of the company’s autonomous Customer Success agent platform.
• Your day-to-day will involve leading architecture workshops with enterprise customers to design AI automation strategies, building reusable technical assets like reference architectures and solution blueprints, and advising on best practices in prompt engineering, agent orchestration, and evaluation frameworks for LLM-based systems.
• You will also be responsible for architecting and implementing core subsystems of Workato’s internal Agentic CS Platform, including memory layers, decision trace architecture, and a Customer Knowledge Graph, while establishing evaluation frameworks for decision quality and learning velocity.
• Workato fosters a flexible, trust-oriented culture that values innovation, ownership, and continuous improvement, offering a dynamic environment where you can grow technically and strategically while contributing to cutting-edge agentic automation solutions used by 400,000+ global customers.
• This role offers the unique opportunity to bridge customer-facing innovation with internal platform development, enabling you to shape both how enterprises adopt AI agents and how Workato’s own autonomous systems evolve in production.

🎯 Requirements

• B.Tech/BE or higher in Computer Science, Engineering, or a related field
• 15+ years of total relevant experience in enterprise software architecture, design, and implementation
• 8+ years of hands-on experience with Integration Platforms (MuleSoft, TIBCO, Oracle SOA, webMethods, or similar) and deep familiarity with iPaaS architecture patterns
• 2+ years of applied AI/Agents engineering experience, specifically in building systems that leverage LLMs and agent frameworks in production applications
• Hands-on experience designing and building AI agent systems: multi-step reasoning pipelines, tool-use orchestration, and autonomous execution frameworks
• Working knowledge of Python agent frameworks such as LangGraph, Claude Agent SDK, or equivalent, with strong preference for LangGraph experience involving persisted state and human-in-the-loop patterns
• Experience with graph database design and implementation (Neo4j/NetworkX), including entity modeling, relationship extraction, and graph querying for contextual retrieval
• Practical experience with RAG architectures, vector databases, embedding strategies, and hybrid retrieval (vector + structured + graph)
• Understanding of evaluation and testing for AI systems: building evals, measuring agent quality, confidence calibration, A/B testing of prompts/pipelines, and regression testing for non-deterministic outputs
• Familiarity with prompt engineering at production scale: structured prompting, chain-of-thought patterns, output parsing, retry/fallback strategies, and prompt versioning
• Experience with observability for LLM systems: tracing, token/cost monitoring, and latency profiling, including familiarity with tools like Langfuse, LangSmith, or Phoenix
• Experience with MCP (Model Context Protocol) standards for LLM-to-system integration
• Strong expertise in enterprise integration patterns: event-driven architectures, microservices orchestration, pub/sub messaging, and data synchronization
• Deep working knowledge of APIs: RESTful, SOAP, webhooks, and data formats (JSON, XML)
• Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native services (Lambda/Functions, DynamoDB, Kafka/Kinesis, S3)
• Familiarity with enterprise applications: Salesforce, ServiceNow, SAP, Workday, NetSuite, or similar, and understanding how they participate in agentic workflows
• Understanding of enterprise security and governance requirements: OAuth, SSO, data residency, SOX compliance, audit trails, and role-based access control

🏖️ Benefits

• Flexible, trust-oriented culture that empowers employees to take full ownership of their roles
• Emphasis on balancing productivity with self-care and well-being
• Access to a vibrant and dynamic work environment with opportunities for growth and innovation
• Recognition as a top workplace: named by Business Insider as an “enterprise startup to bet your career on,” featured in Forbes’ Cloud 100, ranked by Deloitte Tech Fast 500 as one of the fastest-growing tech companies, and honored by Quartz as the #1 best company for remote workers
• Opportunity to work with a global customer base of 400,000+ organizations and contribute to AI-driven transformation across industries

Skills & Technologies

Python

DynamoDB

Neo4j

AWS

Azure

Senior

Remote

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Workato, Inc.

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About Workato, Inc.

Workato provides low-code/no-code enterprise automation and integration software that connects applications, data, and business processes across cloud and on-premises systems. Its platform offers pre-built connectors, recipes, and AI-powered workflow orchestration for finance, HR, IT, sales, support, and marketing functions. The company enables organizations to automate tasks without extensive coding, reducing manual effort and accelerating digital transformation initiatives. Workato serves mid-market to large enterprises worldwide through a subscription-based SaaS model, emphasizing security, governance, and scalability for complex integrations.

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