{"id":3593506,"url":"https://alion.io/job/avalara-automation-engineer","title":"Automation Engineer","company":{"id":58451,"name":"Avalara","domain":"avalara.com","url":"https://alion.io/company/avalara","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Washington, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":126000,"max":244000,"currency":"USD","period":"year","gross":null,"usd_annual":244000},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"n8n","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Rest API","optional":false},{"name":"SLI/SLO/SLA","optional":false}],"status":"live","first_seen_at":"2026-11-01T19:31:21Z","employer_posted_date":null,"last_verified_at":"2026-11-01T19:31:21Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"This a Full Remote job, the offer is available from: United States\nWhat You'll Do:\nRole Summary\nAs Avalara scales its AI-first enterprise systems, workflows, and automation footprint, we must reimagine how work is automated, orchestrated, and continuously improved across every function. This role exists to establish and engineer an enterprise-grade AI automation and transformation ecosystem, with n8n as a core platform, enabling faster process transformation, intelligent workflow execution, and measurable gains in productivity, quality, and operational scale.\nThis is a high-impact individual contributor role responsible for elevating automation standards, reducing manual work and process friction, and enabling AI-powered transformation across the organization.\nHow This Role Elevates Avalara\nThis role strengthens Avalara's enterprise automation and transformation capability by establishing scalable, secure, and measurable AI orchestration standards across the organization.\nThis AI Automation Engineer will:\nImprove operational efficiency and process quality by engineering resilient AI automation solutions and governed platform standards\nAccelerate business transformation and reduce cycle time through reusable automation patterns, CI/CD enablement, and standardized development frameworks\nEnhance employee and customer experience by removing manual bottlenecks, reducing process defects, and increasing AI workflow intelligence\nAdvance Avalara's AI-first execution model by embedding agentic automation, intelligent decisioning, and data-driven observability into enterprise workflows\nBar Raiser Expectations\nAs a Bar Raiser, this role is expected to elevate the capability and execution rigor of the entire automation and transformation function, not simply contribute as a senior engineer. This includes:\nHolding high standards for quality, ownership, reliability, and accountability\nUsing metrics (automation adoption, cycle-time reduction, SLAs, SLOs, MTTR, cost per workflow) to guide platform and architectural decisions\nSimplifying complex business processes into scalable, governed, and maintainable automations\nMentoring engineers and contractors to raise automation maturity and talent density\nChallenging technical assumptions constructively and driving measurable improvement\nLeaving every platform, process, and engineering practice stronger than it was before\nThis role does not only build automation, it transforms how work is engineered, automated, governed, and scaled across Avalara.\nWhat Your Responsibilities Will Be:\nEnterprise AI Automation Leadership\nOwn the enterprise-wide AI automation and transformation strategy with n8n as a core orchestration platform\nArchitect scalable, secure, and resilient automation solutions that eliminate manual effort, improve process quality, and reduce operational friction\nDesign hybrid patterns leveraging n8n/Boomi, APIs, event-driven systems, and AI agents to improve reuse, enable intelligent decisioning, and reduce time-to-value\nDefine patterns for embedding AI-driven workflows (LLMs, agents, and decision engines) into business processes across functions\nLead architecture reviews and drive best-in-class automation design standards, including AI-assisted design patterns and governance\nPlatform Ownership (n8n)\nServe as a technical owner for n8n and AI workflow automation initiatives\nDefine environment strategy (dev/test/prod), CI/CD pipelines, and governance models to reduce deployment risk and increase release velocity\nEnable AI-powered workflow capabilities within n8n (e.g., agent orchestration, prompt management, model integrations, human-in-the-loop controls)\nImplement workflow standards, logging, monitoring, and reliability guardrails to improve MTTR, uptime, and automation trust\nIncorporate AI-assisted monitoring, anomaly detection, and intelligent alerting to proactively detect failures, drift, and degraded workflow performance\nEnsure platform scalability, fault tolerance, and high availability for both deterministic and AI-driven workflows\nStandards & Governance\nEstablish enterprise automation development standards and best practices\nDefine exception-handling frameworks, retry strategies, naming conventions, security protocols, and approval patterns that reduce production defects\nCreate reusable templates, accelerators, and automation design patterns, including AI agent templates and reusable prompt frameworks\nDefine governance for AI usage (model selection, cost controls, prompt/version management, data privacy, and auditability)\nIntroduce code review processes and quality gates that increase execution rigor, including AI workflow validation and evaluation standards\nTechnical Mentorship & Delivery Excellence\nOperate as a player-coach - hands-on while mentoring engineers\nGuide contractor and external implementation teams to ensure quality and standards adherence\nLead technical design sessions, workflow reviews, and post-incident reviews\nMentor teams on designing, building, and operationalizing AI agents and autonomous workflows within business processes\nPromote best practices for prompt engineering, agent orchestration, human-in-the-loop workflows, and responsible AI automation\nElevate automation engineering capability across the organization, including AI fluency and adoption\n12-Month Success Signals\nWithin the first 12 months, this role will have:\nEnabled AI-native automation capabilities, including production-grade AI agents integrated into core workflows\nImproved automation reliability and reduced workflow failure rates and/or MTTR\nStandardized automation patterns, including AI-enabled orchestration patterns, adopted across new transformation initiatives\nImplemented measurable observability, including AI performance, business impact, and cost metrics\nDelivered AI-driven automation use cases that reduce manual effort, improve decision-making, or shorten process cycle time across multiple functions\nRaised execution standards across the automation team through mentorship, technical leadership, and AI capability development\nWhat You'll Need to be Successful:\nAI Expectations\nAs an AI-first company, Avalara expects this role to embed AI into how automation and transformation work is designed and executed.\nThis role will:\nDesign and implement AI-enabled workflows and transformation patterns that materially improve speed, automation, and scale\nUse AI tools to optimize development productivity, workflow diagnostics, process analysis, and root-cause investigation\nIdentify high-value AI automation opportunities tied to efficiency, reliability, employee experience, or customer impact\nApply AI responsibly with appropriate governance, security, and risk considerations\nElevate AI capability across the automation team by sharing best practices and driving measurable adoption\nThis role must demonstrate applied AI impact - not casual tool usage - and quantify improvements enabled by AI-driven automation and transformation.\nWhat You Bring\nB.S. in Computer Science, Engineering, or a related field (required)\n10+ years of experience in enterprise automation, workflow engineering, integration engineering, or platform architecture\nDeep hands-on expertise in n8n or Boomi, including building and orchestrating AI-enabled workflows, agents, and cross-functional business automations\nExperience designing API-first and event-driven architectures, including integration of AI/ML services and agent-based systems\nStrong understanding of REST, webhooks, OAuth, JWT, and API security, along with secure integration of AI services and model endpoints\nExperience implementing CI/CD for automation or integration platforms, including deployment and versioning strategies for AI workflows, prompts, and models\nCloud experience (AWS, Azure, or GCP), including AI/ML services (e.g., Bedrock, Azure OpenAI) and scalable model integration patterns\nFamiliarity with LLMs, prompt engineering, AI agents, and orchestration frameworks, and how they apply to enterprise automation\nExperience with observability and monitoring, including AI-specific considerations (latency, cost, accuracy, drift)\nProven ability to influence architecture and technical direction at scale, including driving adoption of AI-powered automation, process transformation, and intelligent orchestration patterns\nPay Range Details\nThe base pay range(s) below are provided in compliance with state specific laws. Pay ranges may be different in other locations.\nColorado $126,000-$201,600 (annually)\nWashington $126,000-$222,800 (annually)\nCalifornia $126,000-$244,000 (annually)\nNYC $139,200-$244,000 (annually)\nThe pay range above is the general base pay range for a successful candidate in the state listed. The successful candidate’s actual salary/wage may be based on various factors, such as geographic location, candidate experience and qualifications, as well as market and business considerations. This role is eligible for an annual bonus based on individual and company performance, depending on the terms of the applicable plan and the employee’s role.\nAvalara is an AI-first Company:\nAI is embedded in our workflows, decision-making, and products. Success here requires embracing AI as an essential capability.\nYou’ll bring experience using AI and AI-related technologies, ready to thrive here.\n\nYou’ll apply AI every day to business challenges - improving efficiency, contributing solutions, and driving results for your team, our company, and our customers.\n\nYou’ll grow with AI by staying curious about new trends and best practices, and by sharing what you learn so others can benefit too.\n\nHow We'll Take Care of You:\nTotal Rewards \nIn addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses.\nHealth & Wellness\nBenefits vary by location but generally include private medical, life, and disability insurance.\nInclusive culture and diversity\nAvalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship.\nWhat You Need To Know About Avalara:\nWe’re defining the relationship between tax and tech.\nWe’ve already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we're a billion dollar business - and we’re not slowing down until we’ve achieved our mission - to be part of every transaction in the world.\nWe’re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. We’ve been different from day one. Join us, and your career will be too.\nWe’re An Equal Opportunity Employer\nSupporting diversity and inclusion is a cornerstone of our company - we don’t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. 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