{"id":1523091,"url":"https://alion.io/job/waystone-lead-automation-engineer","title":"Lead Automation Engineer","company":{"id":1996259,"name":"Waystone","domain":"waystone.com","url":"https://alion.io/company/waystone-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":{"grade":"B","score":75,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-05T05:45:15Z"}},"role":"DevOps","role_family":"DevOps","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Leeds, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":84000,"max_usd":152000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Computer Use","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"n8n","optional":false},{"name":"Power Automate","optional":false},{"name":"Prompt Engineering","optional":false}],"status":"live","first_seen_at":"2026-07-28T00:00:00Z","employer_posted_date":"2026-07-28","last_verified_at":"2026-10-05T22:14:24Z","board_verified":true,"closed_at":null,"days_open":70,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":70},"description":"About Waystone\nWaystone is a leading asset-servicing solutions provider of institutional governance, administration, risk and compliance services to financial institutions. With over 25 years’ experience and a comprehensive range of specialist services to its name, Waystone helps our clients structure, operate and grow through our expertise, innovation and digitisation, backed by the operational scale to support global expansion\nSUMMARY\nReporting to the AI and Automation Manager, the Lead Automation Engineer will be vital to the success of Waystone’s engineering, integration, automation and assurance capabilities. The role leads the design, delivery, governance and continuous improvement of automation across Waystone, where the process and the integration are the product: driving efficiency by removing manual and repetitive work, orchestrating workflows, and connecting systems through APIs, webhooks and event-driven integration. Acting as the technical authority for workflow automation platforms - with n8n and Microsoft Power Automate as key strategic technologies - the role sets the standards, reusable patterns and guardrails for building reliable, secure and supportable automations.\nThe role increasingly draws AI into workflows as a step, such as LLM calls to classify, extract or summarise, working in close partnership with the AI Engineering team, which owns agents, LLM-powered applications, prompt engineering, evaluations and AI safety.\nESSENTIAL DUTIES AND RESPONSIBILITIES\nAct as Waystone’s technical lead and subject matter expert for workflow automation and orchestration - with n8n and Microsoft Power Automate as the key strategic platforms - driving efficiency across the organisation by removing manual and repetitive work.\nDefine and maintain the automation Centre of Excellence (CoE), including automation standards, reusable patterns, templates, documentation expectations and operational guardrails.\nLead the design and delivery of complex, enterprise-grade automation solutions integrating SaaS platforms, internal systems, APIs, cloud services and third-party providers.\nProvide hands-on contribution to automation delivery, including workflow design, configuration, scripting, integration logic and technical validation.\nEstablish best practice for how automations are designed, tested, deployed, monitored and supported, including error handling, version control, environment separation and observability.\nEmbed AI as steps within workflows, such as LLM calls to classify, extract or summarise, consuming capabilities and patterns provided by the AI Engineering team, and preferring deterministic automation where it is safer, simpler or more cost effective.\nEnsure automations that consume AI do so responsibly, operating within the guardrails, evaluation and responsible-AI standards defined by AI Engineering, with appropriate human oversight, auditability, cost control and operational ownership.\nPartner with the Lead AI Engineer and AI Engineering team on hybrid solutions, owning the workflow, integration and orchestration layer while AI Engineering owns agents, LLM-powered features, prompt engineering, model selection and evaluations.\nSupport business users, Operations Champions and Power Users in the safe design and adoption of no-code and low-code automations, providing reusable guidance, examples and guardrails.\nGuide the transition of user-developed automations into supported enterprise solutions when they outgrow personal or team productivity use cases.\nReview automation designs to identify fragility, unnecessary complexity, security risks, control gaps and long-term support issues.\nEvaluate emerging automation technologies, including computer-use agents and successors to traditional RPA, and maintain a roadmap for automation capability maturity.\nUplift automation capability across the business through coaching, knowledge sharing and practical guidance, and promote automation-first thinking, complementing the broader AI literacy and enablement agenda led by AI Engineering.\nREQUIREMENTS\nDeep understanding of low-code automation, workflow orchestration and intelligent process automation, with strong hands-on experience of n8n and Microsoft Power Automate.\nGood understanding of the wider Microsoft Power Platform, and awareness of complementary workflow platforms such as Workato, Xceptor and Appian, with no immediate expectation to use or own them.\nStrong understanding of how to consume AI within workflows, including LLM calls for classification, extraction and summarisation, intelligent document processing and human-in-the-loop design.\nPractical judgement on when to use AI in automation, and when deterministic, rules-based automation is safer, simpler or more cost effective.\nExperience integrating AI services as steps within automation platforms, with sufficient awareness of agents, prompts, guardrails and frameworks such as Microsoft Agent Framework and LangChain to collaborate effectively with AI Engineers.\nStrong understanding of APIs, webhooks, event-driven integration, authentication patterns, data mapping and system-to-system communication.\nFluency in modern engineering practice, including source control, code review, automated testing, CI/CD and environment management.\nGood understanding of governance, security, privacy, auditability and data handling in a regulated enterprise environment.\nClear communication across technical and non-technical audiences, with the ability to influence stakeholders and promote best practice without over-engineering.\nThe ability to mentor engineers, analysts, Operations Champions, Power Users and business users, uplifting automation capability across the wider organisation.\nEXPERIENCE\n5+ years’ experience in automation, integration, software engineering, workflow orchestration or a related technical discipline.\nProven experience designing, leading and delivering enterprise automation using low-code platforms such as n8n or Microsoft Power Automate.\nExperience establishing automation standards, governance and reusable patterns, ideally within a regulated environment.\nExperience embedding AI capabilities as steps within business workflows, delivered in partnership with AI engineering teams.\nExperience collaborating with cross-functional teams and mentoring others in automation, workflow design and platform best practice.\nEDUCATION\nBachelor’s Degree in Computer Science, IT, Engineering, or a related discipline (or equivalent practical experience). \nRelevant certifications in automation, Microsoft Power Platform, software engineering, integration, process improvement, or AI are 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