Bitovi

DevOps Engineer

• Own the end-to-end lifecycle of Avalara's AI workflow infrastructure, including n8n and related tools
• Design, set up, deploy, and operate infrastructure and platform components including environments, CI/CD, containers, runtime clusters, storage, secrets, networking, and integrations
• Build a secure, enterprise-grade AI workflow platform across dev, test, and production environments
• Embed security, privacy, compliance, hardened baselines, secret management, network and IAM boundaries, and CI/CD safeguards
• Define and drive SLOs, metrics, logging, alerting, incident reduction, and MTTR improvements
• Create reusable templates, reference pipelines, IaC modules, and guardrails for standardized AI workflows
• Align AI workflow infrastructure with Avalara's Software Maturity Model and engineering governance
• Mentor engineers and citizen developers and codify DevOps, automation, and AI best practices
• Use AI for incident triage, anomaly detection, capacity forecasting, change-risk assessment, IaC, CI/CD, security policies, runbooks, and orchestration patterns
• Partner with architecture, security, platform, integration, operations, and business teams
• Deliver measurable improvements in reliability, deployment success, cycle time, automation coverage, scalability, and operational excellence

Enterprise Systems Engineer V – DevOps

AI Engineer

• Define and maintain enterprise architecture standards, reference patterns, and governance guardrails for AI-enabled solutions moving from pilot to production.
• Establish decision models for build, buy, or integrate choices; model and vendor selection; data access; security; and responsible AI adoption.
• Design scalable architecture patterns for AI-enabled workflows and agentic processes across data, APIs, identity, security, and cloud platforms.
• Test new AI models, LLMs, agent frameworks, and tools to inform enterprise adoption.
• Design proof-of-concepts, define success criteria, and guide solutions from pilot to production.
• Lead architecture reviews and communicate trade-offs, risks, and growth to partners.
• Partner with teams to translate needs into governed, implementation-ready solutions.
• Ensure teams through demos, workshops, and reusable templates to support safe AI adoption.

Principal Architect – Enterprise AI

• Improve operational efficiency, resilience, and process quality by establishing scalable AI automation architecture standards and governance guardrails
• Accelerate transformation delivery and reduce rework through clear design frameworks, decision models, and reusable automation patterns
• Enhance employee and customer experience by reducing manual work, process fragmentation, and automation risk
• Embed AI-first architectural practices that improve automation scale, decision quality, and measurable business outcomes
• Lead evaluation of AI automation, agentic workflow, and transformation initiatives across the organization
• Define architectural decision frameworks and long-term platform strategy for n8n, Boomi, APIs, event-driven orchestration, and AI services to reduce duplication and increase reuse
• Establish governance guardrails for AI-enabled workflows, agents, prompts, models, data flows, and human-in-the-loop controls to ensure scalability, reliability, auditability, and responsible use
• Anticipate growth, compliance, security, and operational risks across automation platforms and transformation programs before they materialize
• Influence cross-functional roadmaps with AI Automation Engineers, BSAs, and business leaders based on architectural trade-offs, platform fit, and measurable outcomes
• Translate enterprise capability needs into clear, implementable technical designs that accelerate AI automation delivery
• Create architectural blueprints for intelligent workflows, agentic process patterns, and cross-system orchestration that reduce ambiguity and minimize rework
• Design secure, scalable, and resilient automation patterns across SaaS systems, internal platforms, APIs, data ecosystems, and AI/ML services
• Drive API-first, event-driven, and human-in-the-loop architecture standards that improve interoperability, control, and long-term maintainability
• Lead architecture reviews and represent AI automation and transformation strategy in executive and cross-functional forums

Principal Enterprise AI Architect

QA Automation Engineer

• Engineer scalable, secure, and resilient automation solutions using n8n and related integration platforms.
• Design hybrid automation patterns using n8n, Boomi, application programming interfaces, event-driven systems, and artificial intelligence agents.
• Build artificial intelligence-enabled workflows that support intelligent decisioning, human-in-the-loop controls, prompt management, and model integrations.
• Define development standards, reusable templates, exception handling, retry strategies, approval patterns, and security protocols for enterprise automation.
• Implement environment strategies, continuous integration and continuous delivery pipelines, versioning, and governance models for automation workflows.
• Establish logging, monitoring, reliability guardrails, anomaly detection, and alerting to improve uptime, workflow trust, and recovery time.
• Define responsible artificial intelligence governance for model selection, cost controls, prompt and version management, data privacy, and auditability.
• Lead technical design sessions, workflow reviews, architecture reviews, and post-incident reviews.
• Mentor engineers, contractors, and implementation teams on automation design, artificial intelligence agents, prompt engineering, and responsible automation practices.
• Use metrics such as adoption, cycle-time reduction, service levels, recovery time, cost per workflow, and business impact to guide improvement.

AI Workflow Automation Engineer

• Define and drive enterprise architecture for AI automation and business transformation.
• Improve operational efficiency, resilience, and process quality by establishing scalable AI automation architecture standards and governance guardrails.
• Accelerate transformation delivery and reduce rework through clear design frameworks, decision models, and reusable automation patterns.
• Embed AI-first architectural practices that improve automation scale, decision quality, and measurable business outcomes.
• Partner across business, platform, data, security, and engineering functions to create shared clarity from concept through execution for transformation initiatives.

Principal Automation Engineer

Systems Engineer

• Translate complex business workflows into well-defined, implementation-ready requirements for AI-enabled automation.
• Collaborate with AI Automation Engineers to ensure initiatives are scalable and aligned to business outcomes.
• Conduct requirement discovery and process analysis with stakeholders
• Map and document current-state and future-state processes.
• Create user stories, business rules, and acceptance criteria for AI-enabled solutions.
• Participate in backlog grooming and sprint planning to maintain requirement clarity.
• Support testing and UAT validation for AI-enabled workflows.

Business Systems Analyst – AI Automation

• Own and help execute Avalara's enterprise AI automation and transformation strategy
• Design and build scalable automation solutions that reduce manual work and improve business process efficiency
• Develop AI-enabled workflows, intelligent agents, and decisioning frameworks that support business transformation
• Architect API-first and event-driven integrations that connect enterprise systems
• Establish platform standards for development, deployment, monitoring, and reliability across automation initiatives
• Define and maintain CI/CD processes
• Create reusable automation frameworks and AI agent accelerators
• Implement observability, monitoring, alerting, and performance measurement practices
• Lead technical design reviews, workflow assessments, and mentor engineers

Enterprise Systems Engineer V – DevOps

Principal Architect – Enterprise AI

Principal Enterprise AI Architect

AI Workflow Automation Engineer

Principal Automation Engineer

Business Systems Analyst – AI Automation

AI Workflow Automation Engineer

AI Automation Engineer – Level V