# Senior Engineer - AI Workflows
**Company:** [Xero](https://scaleengineer.com/companies/xero)
Senior Engineer specializing in AI workflows at Xero's Internal AI Accelerator Squad, focused on designing and operationalizing agentic AI systems that automate complex enterprise workflows. You will embed within business teams to co-design intelligent automation solutions using large language models and enterprise integrations, establishing patterns and guardrails for AI-native operations across the global organization. This role requires production-grade experience with AI systems, cloud infrastructure, and the ability to translate business pain points into scalable technical solutions.
**Role:** Senior Engineer
**Seniority:** Senior
**Locations:** CAN: British Columbia Remote
**Remote:** yes
**Salary:** 180000–210000 CAD
[Apply](https://jobs.ashbyhq.com/xero/67b8fc53-cac6-48fa-98d8-af27ab75fec2)
Canonical: https://scaleengineer.com/jobs/xero/senior-engineer-ai-workflows-67b8fc53
---
## Responsibilities

- Design and Iterate on Agentic AI Systems: Lead the architectural design and continuous iteration of AI agents and workflow orchestrations leveraging advanced language models like Claude and Gemini, employing sophisticated prompt engineering and model configuration strategies to optimize agent behavior and reliability in production environments.
- Enterprise Platform Integration: Architect and implement robust integrations between AI systems and core enterprise applications including Salesforce, Workday, Slack, and NetSuite, ensuring seamless data flow, security compliance, and maintaining system reliability across distributed infrastructure.
- Build Reusable Automation Patterns: Develop and document standardized automation patterns, shared templates, and best-practice frameworks that empower non-technical and technical stakeholders across the business to deploy AI-driven solutions independently, democratizing access to intelligent automation capabilities.
- Establish Evaluation and Monitoring Frameworks: Design comprehensive evaluation metrics, monitoring dashboards, and performance tracking systems for AI workflows, implementing safety guardrails and blast radius controls to ensure reliability, auditability, and controlled degradation in production AI-native systems.
- Technical Leadership and Coaching: Act as a technical mentor and evangelist within business teams, elevating AI fluency across the organization through collaborative pairing sessions, technical workshops, clear documentation, and hands-on guidance on AI-driven solution design patterns.
- Forward-Deployed Problem Solving: Embed directly within various internal business teams to understand complex workflows, co-design solutions that remove manual toil, and drive end-to-end operationalization from discovery phase through production deployment, serving as a strategic technical partner.

## Requirements

### education

- {"name":"Computer Science or Related Field","description":"Bachelor's degree in Computer Science, Software Engineering, or equivalent professional experience demonstrating core computer science fundamentals and software development expertise."}
- {"name":"Continuous Learning in AI/ML","description":"Commitment to ongoing professional development in AI and machine learning, evidenced through courses, certifications, or self-directed learning in LLMs, prompt engineering, and AI systems design."}

### technical

- {"name":"Production Application Development","description":"Demonstrated expertise building and operating production applications or automation systems, particularly with hands-on experience managing APIs, webhooks, cloud infrastructure, and designing systems for scale and reliability."}
- {"name":"Large Language Model Systems","description":"Proven experience delivering AI-driven solutions in production, including building agents, copilots, retrieval-augmented generation (RAG) systems, or other LLM applications using platforms like Claude, Gemini, or equivalent enterprise AI models."}
- {"name":"Programming Languages","description":"Proficiency in Python or TypeScript with demonstrated ability to write clean, maintainable code, work with SDKs, manage asynchronous operations, and develop microservices or serverless architectures for AI workloads."}
- {"name":"Enterprise Integration Architecture","description":"Experience integrating with enterprise platforms (CRM, ERP, HCM, communication tools), designing secure data pipelines, managing authentication flows, and ensuring compliance with enterprise security and auditing requirements."}
- {"name":"Systems Design and Security","description":"Strong systems-thinking approach with capability to design AI systems emphasizing security, auditability, proper access controls, and controlled blast radius patterns to mitigate risks in autonomous agent deployments."}

### experience

- {"name":"AI-Driven Solutions Delivery","description":"Track record of shipping AI-driven products or features from concept through production, including experience with prompt engineering, model selection, and implementing evaluation frameworks to measure AI system performance."}
- {"name":"Stakeholder Partnership","description":"Demonstrated success partnering with non-technical stakeholders, translating business requirements and pain points into elegant technical solution designs, and communicating complex technical concepts to diverse audiences."}
- {"name":"Cloud Infrastructure Operations","description":"Hands-on experience deploying and maintaining applications on cloud platforms, managing infrastructure as code, implementing monitoring and logging solutions, and optimizing for performance and cost efficiency."}
- {"name":"Technical Mentorship","description":"Track record of uplifting team capabilities through technical leadership, mentoring junior engineers, and driving adoption of new technologies or architectural patterns across teams."}

## Skills

### required

- {"name":"Python","description":"Production-grade Python development for backend services, data processing, and AI system integration with proficiency in async programming and SDK usage."}
- {"name":"TypeScript","description":"Full-stack TypeScript development including type-safe API integrations, serverless functions, and real-time workflow orchestration in Node.js environments."}
- {"name":"Large Language Models (Claude/Gemini)","description":"Hands-on experience with Claude or Gemini APIs, prompt engineering, model selection, and building production systems that leverage LLM capabilities for automation and intelligence."}
- {"name":"API Design and Integration","description":"Expertise in designing RESTful and webhook-based integrations, managing authentication schemes (OAuth, API keys), error handling, and building robust data synchronization between systems."}
- {"name":"Cloud Infrastructure","description":"Proficiency with cloud platforms (AWS, GCP, Azure) for deploying AI workloads, managing databases, implementing monitoring, and designing scalable architectures."}
- {"name":"Agentic AI Workflows","description":"Experience designing and implementing autonomous AI agents with state management, tool integration, decision logic, and monitoring capabilities for enterprise use cases."}

### preferred

- {"name":"Model Context Protocol (MCP)","description":"Familiarity with Model Context Protocol for standardizing AI system integrations and enabling flexible tool composition across different LLM platforms and applications."}
- {"name":"Anthropic Claude Ecosystem","description":"Deep knowledge of Claude models, function calling, vision capabilities, and extended context windows for building sophisticated AI applications."}
- {"name":"Salesforce/Workday Integration","description":"Prior experience integrating with major enterprise platforms like Salesforce or Workday, understanding their data models and API constraints."}
- {"name":"Slack Bot Development","description":"Experience building conversational interfaces and workflow automation through Slack apps, bolt frameworks, and interactive components."}
- {"name":"RAG Systems","description":"Experience implementing retrieval-augmented generation systems including vector databases, embedding models, and knowledge base construction for AI applications."}
- {"name":"System Observability","description":"Proficiency implementing monitoring, logging, tracing, and alerting for complex distributed systems, including AI-specific metrics like inference latency and token utilization."}
- {"name":"Workflow Orchestration","description":"Experience with tools like Temporal, Airflow, or similar workflow orchestration platforms for managing complex multi-step automation sequences."}
- {"name":"Agile Development Practices","description":"Experience in rapid iteration cycles, rapid prototyping, and experimental development methodologies aligned with high-velocity team environments."}

## Tech stack

### tools

- {"name":"Model Context Protocol (MCP)","description":"Standardized protocol for AI system integrations enabling consistent tool composition, data source connections, and cross-platform AI agent capabilities."}
- {"name":"Salesforce API","description":"Enterprise CRM platform APIs for customer data integration, workflow automation, and business process automation within AI systems."}
- {"name":"Workday API","description":"Human capital management and enterprise resource planning APIs for HR, payroll, and workforce automation integrations."}
- {"name":"Slack API","description":"Comprehensive API for building conversational bots, workflow apps, and real-time notifications integrated with AI agents."}
- {"name":"NetSuite API","description":"ERP platform APIs for financial data integration, supply chain automation, and business intelligence integration with AI workflows."}
- {"name":"Docker/Kubernetes","description":"Containerization and orchestration platforms for deploying scalable, reproducible AI workloads in production environments."}
- {"name":"AWS/GCP Services","description":"Cloud compute, storage, and AI services (Lambda, Cloud Run, SageMaker) for building and scaling serverless AI applications."}
- {"name":"GitHub/Version Control","description":"Enterprise version control for collaborative development, code review, and continuous integration/deployment pipelines."}

### others

- {"name":"Prompt Engineering","description":"Advanced techniques for optimizing language model inputs, including few-shot prompting, chain-of-thought reasoning, and system prompt design for production systems."}
- {"name":"AI System Evaluation","description":"Methodologies for measuring AI system performance, building evaluation frameworks, testing agent outputs, and establishing quality metrics for production deployments."}
- {"name":"Security and Compliance","description":"Enterprise security practices including data encryption, authentication protocols, audit logging, and compliance with data protection regulations in AI systems."}
- {"name":"Webhook Management","description":"Design and implementation of webhook-based event-driven architectures for real-time system integrations and reactive workflow triggers."}
- {"name":"Agentic AI Design Patterns","description":"Architectural patterns for autonomous agents including tool use, reasoning loops, memory management, and failure recovery mechanisms."}

### databases

- {"name":"Vector Databases (Pinecone/Weaviate)","description":"Specialized databases for storing and querying semantic embeddings, essential for RAG systems and semantic search in AI applications."}
- {"name":"PostgreSQL","description":"Enterprise-grade relational database for storing structured application data, workflow state, and audit logs with reliability and scalability."}
- {"name":"DynamoDB/Firestore","description":"Managed NoSQL databases for flexible schema requirements, high-throughput data storage, and seamless cloud-native deployments."}

### languages

- {"name":"Python","description":"Primary backend language for AI system development, data processing, and enterprise integrations with production deployment experience."}
- {"name":"TypeScript","description":"Full-stack development language for API design, real-time systems, and serverless function implementations in Node.js environments."}

### frameworks

- {"name":"Claude API","description":"Anthropic's leading large language model platform for building agents, copilots, and agentic AI workflows with advanced capabilities like function calling and extended context."}
- {"name":"Google Gemini API","description":"Google's multimodal language model for building AI-driven solutions with vision, text, and audio processing capabilities for enterprise applications."}
- {"name":"Langchain/LlamaIndex","description":"Leading frameworks for building applications with large language models, enabling rapid prototyping of AI systems and agent architectures."}
- {"name":"Bolt for Python/JavaScript","description":"Slack's official SDK for building interactive bots, workflows, and conversational interfaces with Slack platform integration."}

## Benefits

### benefits

- {"name":"Comprehensive Medical Coverage","description":"Medical, dental, and vision insurance providing comprehensive healthcare coverage for you and your family, with competitive plan options and managed care networks."}
- {"name":"Retirement Planning","description":"401(k) matching program enabling tax-advantaged retirement savings with employer contribution matching to accelerate your long-term financial security."}
- {"name":"Generous Time Off","description":"21 days of paid time off annually plus wellbeing leave, volunteer leave, and paid parental leave supporting work-life balance and personal growth."}
- {"name":"Equity Participation","description":"Restricted Stock Unit (RSU) programs and performance-based equity incentives allowing you to share in Xero's success and build long-term wealth."}
- {"name":"Flexible Work Arrangements","description":"Hybrid work model with autonomy to work from home complemented by regular boost days in modern office spaces designed for collaboration and team connection."}
- {"name":"Professional Development","description":"Access to learning resources, technical conferences, and continuous education opportunities supporting career growth in emerging AI and cloud technologies."}
- {"name":"Wellbeing Programs","description":"Comprehensive wellbeing initiatives supporting physical, mental, and financial health including employee assistance programs and wellness resources."}

## Compensation

- **max:** 210000
- **min:** 180000
- **currency:** CAD
- **stockOptions:** true

## Interview process

### steps

- {"name":"Initial Screening","description":"Conversation with recruiter to discuss your background, AI experience, and alignment with the Internal AI Accelerator Squad's mission of rapid experimentation and agentic AI implementation."}
- {"name":"Technical Discussion","description":"Deep dive with senior engineers on your production experience with AI systems, large language models, and enterprise integrations. Expect discussion of architectural decisions, system design tradeoffs, and real-world challenges you've solved."}
- {"name":"System Design Assessment","description":"Design exercise focused on architecting an agentic AI workflow that integrates with enterprise platforms. You'll walk through your approach to security, auditability, monitoring, and failure handling in production systems."}
- {"name":"Coding Exercise","description":"Practical coding assessment in Python or TypeScript demonstrating your ability to build AI integrations, handle API interactions, and write production-quality code with proper error handling and testing."}
- {"name":"Stakeholder Alignment Interview","description":"Conversation with business stakeholders and product owners to assess your ability to translate business pain points into elegant technical solutions and your communication style with non-technical partners."}
- {"name":"Senior Leadership Discussion","description":"Final conversation with leadership to discuss your vision for democratizing AI across the organization, your mentorship philosophy, and how you'd contribute to Xero's transformation into an AI-native company."}

## Full description
**The role / impact**

As a Senior Engineer within the Internal AI Accelerator Squad, you will be at the forefront of Xero’s transformation into an AI-native company. You will act as a forward-deployed engineer, embedding yourself within various internal business teams to co-design and operationalise agentic AI workflows that remove manual toil and fundamentally reshape how our people work end-to-end.

Your impact extends beyond the code; you will lead the delivery of high-stakes AI agents from discovery to production, while acting as a technical partner and evangelist. By defining the patterns, guardrails, and tooling for intelligent automation, you will create the blueprint that enables the rest of Xero to harness the power of AI safely and effectively.

**The team / how they connect**

You will join a dedicated, high-velocity squad focused on boosting the adoption of agentic AI and intelligent automation across the global business. The team connects through a shared mission of rapid experimentation and "vibe-coding," working closely with product owners and SMEs to turn complex, messy workflows into elegant, automated solutions.

**The team is currently working on / Initially, you will focus on**

* Designing and iterating on AI agents and workflow orchestrations using tools like Claude, Gemini, and MCP.
* Integrating AI systems with core enterprise platforms including Salesforce, Workday, Slack, and NetSuite.
* Developing reusable automation patterns and shared templates to be used by the business
* Building evaluation and monitoring frameworks to measure performance and ensure the safety of AI-native workflows.

**Where and how you can work**

At Xero, we embrace a hybrid way of working that prioritises both flexibility and meaningful connection. You will have the autonomy to work from home, supported by regular boost days in our modern office spaces designed to foster collaboration, brainstorming, and team bonding.

**Here are some of the things we are looking for**

* You bring a wealth of experience in building and operating applications or automations within production environments, particularly involving APIs and cloud infrastructure.
* Your background includes hands-on delivery of AI-driven solutions such as agents, copilots, or RAG systems using LLMs like Claude or Gemini.
* You possess proficiency in programming languages such as Python or TypeScript and feel comfortable navigating SDKs and webhooks.
* A systems-thinking approach is part of your toolkit, allowing you to design agents with security, auditability, and controlled blast radius at the forefront.
* You have a track record of partnering with non-technical stakeholders to translate business pain points into technical solution designs.
* You are a natural coach who enjoys uplifting the AI fluency of those around you through pairing, workshops, and clear communication.

## **Compensation & Total Rewards**

At Xero, we value the impact and skills you bring to the team. We don’t just hire for a role, we invest in people. We believe in a Total Package philosophy which means your value isn't just a single number on a paycheck. While base salary is a core component, we look at your compensation through a holistic lens that includes equity, performance incentives, and world-class benefits.

The expected base salary range for this role in:

* CAD $180K – CAD $210K
* Plus bonus and equity

Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role.

In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation:

* Variable Pay: Permanent employees are eligible to participate in our equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance.
* Comprehensive Benefits: Medical, dental, vision, 401(k) match, and 21 days PTO. Xero also provides eligible employees with Wellbeing leave, volunteer leave, holidays, paid parental leave. Further information included on our Xero Perks page.

Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

##