Bitovi

QA 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

• 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

• 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

Principal Automation Engineer

Business Systems Analyst – AI Automation

AI Workflow Automation Engineer

AI Automation Engineer – Level V