{"id":166318,"url":"https://alion.io/job/workato-principal-technical-architect","title":"Principal Technical Architect","company":{"id":58898,"name":"Workato","domain":"workato.com","url":"https://alion.io/company/workato","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":80,"open_postings":18,"ghost_share":0,"stale_share":0.611,"repost_share":0,"time_to_fill_p50_days":60,"computed_at":"2026-10-19T05:45:15Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":26000,"max_usd":64000,"period":"year","method":"role_seniority_country_cell","sample_n":63},"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Claude","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LangGraph","optional":false},{"name":"MuleSoft","optional":false},{"name":"Neo4j","optional":false},{"name":"OpenAI Agents SDK","optional":false},{"name":"Oracle","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Tool Use","optional":false},{"name":"A/B Testing","optional":true},{"name":"Agentic Workflows","optional":true},{"name":"Amazon Kinesis","optional":true},{"name":"Amazon S3","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Apex","optional":true},{"name":"AWS","optional":true},{"name":"AWS Lambda","optional":true},{"name":"Azure","optional":true},{"name":"Chain-of-Thought","optional":true},{"name":"DynamoDB","optional":true},{"name":"GCP","optional":true},{"name":"LangChain","optional":true},{"name":"Langfuse","optional":true},{"name":"LangSmith","optional":true},{"name":"LLM","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"RAG","optional":true},{"name":"ServiceNow","optional":true},{"name":"SOAP","optional":true}],"status":"live","first_seen_at":"2026-06-02T08:18:28Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-19T11:35:21Z","board_verified":true,"closed_at":null,"days_open":139,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":138},"description":"About Workato\nWorkato 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.\nWhy join us?\nUltimately, 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 forteam players who want to actively build our company. \nBut, 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. \nIf this sounds right up your alley, please submit an application. We look forward to getting to know you!\nAlso, feel free to check out why:\nBusiness Insider named us an “enterprise startup to bet your career on”\nForbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world\nDeloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America\nQuartz ranked us the #1 best company for remote workers\nAbout the Role\nWorkato is looking for a Principal Technical Architect, AI to join as a Field Specialist operating at the intersection of applied AI engineering and customer-facing technical strategy. This is a dual-mandate role with an approximately equal split:\nMandate 1 - AI Field Specialist (Customer-facing): You will work directly with enterprise customers and prospects in pre-sales and post-sales engagements to define and architect their AI strategies on Workato. This includes designing agentic automation solutions, advising on the latest approaches and best practices, scoping AI agent implementations, and helping customers move from proof-of-concept to production-grade autonomous systems.\nMandate 2 - Agentic CS Platform (Internal initiative): You will be a core architect and developer on Workato's autonomous Customer Success agent initiative, a production-grade system that captures complete customer context to support reasoning, and compounds intelligence over time. You will own the agent and memory architecture, evals and learning loop, and autonomy framework that power this system.\nThis is a role for someone who builds agentic systems to orchestrate LLMs into reliable, auditable, enterprise-grade agent architectures, and who can articulate that vision to a customer CIO and technical leaders as fluently as they can implement it in code. \nWorkato has a positive, diverse, and collaborative culture; we look for people who are curious, inventive, smart, hardworking, and who work to be a little better every day.\nResponsibilities\nAI Field Specialist\nSupport as an expert AI architect in strategic enterprise engagements: roadmapping customer AI agent use cases and delivering technical deep-dives that demonstrate Workato's agentic capabilities.\nLead architecture workshops with enterprise customers to define their AI automation strategy, including agent design, integration patterns, and governance frameworks.\nAdvise customers on applied AI best practices: prompt engineering and agent orchestration patterns, evaluation and testing strategies for agent systems, confidence calibration, human-in-the-loop design, and continuous learning loops.\nBuild reusable technical assets, such as reference architectures, solution blueprints, demonstration environments, and best-practice documentation, that enable the broader field team to position AI solutions.\nDevelop and deliver technical collateral: architecture white papers, webinars, blog posts, conference talks, etc. that establish Workato's thought leadership in agentic automation.\nPartner with Product and Engineering to feed field insights back into the platform roadmap, ensuring customer-facing AI capabilities evolve based on real deployment patterns.\nSupport global strategic accounts across the US, EMEA, and APAC geographies as needed for critical engagements.\nMay require up to 20% global travel.\nAgentic CS Platform\nArchitect and implement core subsystems of the autonomous CS agent platform, including memory layers, the agent orchestration layer, and the decision trace architecture.\nDesign and build a Customer Knowledge Graph as a structured, semantic network that models customers, users, policies, decisions, and operational artifacts as interconnected entities and relationships, enabling queryable representation of contextual states, and policy evaluations for governance, traceability, and decision optimization.\nImplement the confidence-based autonomy framework, including precedent matching, confidence scoring (precedent match, pattern recognition, data completeness, policy clarity), and policy-governed escalation routing.\nDefine and design infrastructure architecture to ensure optimal performance and latency.\nTake scalable technology selection decisions.\nEstablish evaluation frameworks: define metrics for decision quality, context accuracy, and learning velocity (autonomous threshold increases month over month).\nRequirements\nQualifications & Experience\nB.Tech/BE or higher in Computer Science, Engineering, or related field. \n15+ years of total relevant experience in enterprise software architecture, design, and implementation.\n 8+ years of hands-on experience with Integration Platforms (MuleSoft, TIBCO, Oracle SOA, webMethods, or similar). Deep familiarity with iPaaS architecture patterns is essential.\n 2+ years of applied AI/Agents engineering experience, specifically in building systems that leverage LLMs and agent frameworks, orchestrating them into production applications.\nApplied AI & Agent Architecture (Must-Have)\nHands-on experience designing and building AI agent systems: multi-step reasoning pipelines, tool-use orchestration, and autonomous execution frameworks.\nWorking knowledge of Python agent frameworks such as LangGraph, Claude Agent SDK, or equivalent. LangGraph experience with persisted state and human-in-the-loop patterns is strongly preferred.\nExperience with graph database design and implementation: entity modeling, relationship extraction, graph querying, and using graph structures for contextual retrieval. Neo4j/NetworkX equivalent experience is a plus.\nPractical experience with RAG architectures, vector databases, embedding strategies, and hybrid retrieval (vector + structured + graph).\nUnderstanding 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.\nFamiliarity with prompt engineering at production scale: structured prompting, chain-of-thought patterns, output parsing, retry/fallback strategies, and prompt versioning.\nExperience with observability for LLM systems: tracing, token/cost monitoring, and latency profiling. Familiarity with Langfuse, LangSmith, Phoenix, or similar tools.\nExperience with MCP (Model Context Protocol) standards for LLM-to-system integration.\nIntegration & Enterprise Architecture (Must-Have)\nStrong expertise in enterprise integration patterns: event-driven architectures, microservices orchestration, pub/sub messaging, and data synchronization.\nDeep working knowledge of APIs: RESTful, SOAP, webhooks, and data formats (JSON, XML).\nExperience with cloud platforms (AWS, Azure, or GCP) and cloud-native services (Lambda/Functions, DynamoDB, Kafka/Kinesis, S3).\nFamiliarity with enterprise applications: Salesforce, ServiceNow, SAP, Workday, NetSuite, or similar. Understanding how these systems participate in agentic workflows.\nUnderstanding of enterprise security and governance requirements: OAuth, SSO, data residency, SOX compliance, audit trails, and role-based access control.\nNice-to-Have\nBackground in Customer Success platforms (Gainsight, ChurnZero) or CRM architecture.\nPrior experience in a customer-facing technical role (Solutions Architect, Field CTO, Technical Account Manager, or Pre-Sales Engineer) at a SaaS or platform company.\nContributions to open-source AI/agent projects or published technical content in the applied AI space.\nSoft Skills\nExceptional ability to communicate complex AI and architecture concepts to diverse audiences: from engineering teams to C-level executives: adapting depth and vocabulary to the room.\nStrong consultative instinct: able to listen to a customer's business problem, decompose it into architectural components, and propose a credible path forward in real-time.\nEntrepreneurial mindset with comfort operating in ambiguity: this role spans an internal build and an external advisory function, and requires someone who can context-switch and self-prioritize.\nCollaborative by default: able to work across Product, Engineering, Customer Success, Sales, and Marketing without needing formal authority.\nExcellent written communication: able to produce architecture documents, white papers, and technical briefs that are clear, precise, and persuasive.\nFast learner who stays current with the rapidly evolving AI agent ecosystem and can distill emerging patterns into practical guidance.\n(REQ ID: 2216)","description_format":"text","description_chars":9589,"description_truncated":false,"requirements":{"experience_years_min":15,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Workflow & Process Automation (RPA, BPM)","AI Agents","Integration & API Management"],"lifecycle":[{"event":"open","at":"2026-06-02T08:18:28Z"},{"event":"open","at":"2026-09-08T05:19:22Z"}],"visa":[],"liveness":{"score":16,"band":"cold","label":"Long shot","p_open":1,"p_active":0.558,"p_room":0.28,"age_days":138,"expected_fill_days":60,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:"],"computed_at":"2026-10-19T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/workato-principal-technical-architect","json_url":"https://alion.io/job/workato-principal-technical-architect.json","meta":{"generated_at":"2026-10-19T13:20:19Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":9578,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-20T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":58898},"rest":"https://alion.io/mcp/rest/get_company?id=58898"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fworkato-principal-technical-architect"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fworkato-principal-technical-architect"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fworkato-principal-technical-architect"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/workato-principal-technical-architect\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fworkato-principal-technical-architect"}]}