Senior AI Automation Engineer

Jobgether; United States; Hybrid; USD 79,000 - 114,000; Full time

Benefits offered by this job

Competitive salary

Market-based compensation

Comprehensive benefits

Hybrid work Vancouver

Remote arrangements available

Professional growth

High organizational impact

Collaborative environment

Innovation and ownership

Inclusive workplace

Job summary

Jobgether is seeking an Automation Specialist to design and deploy AI-powered workflows across Operations, Finance, Marketing and Customer Success. You will translate business needs into technical requirements and rapidly prototype solutions with stakeholder validation.

You will integrate LLMs, AI agents, and RAG with existing systems, ensure production readiness, coach colleagues to build their own automations, and contribute to scalable frameworks that improve cross-functional efficiency.

Qualifications

• Proven experience building automations that deliver measurable results.
• Strong knowledge of AI technologies, including LLMs, agents, RAG, and prompts.
• Experience integrating APIs, scripts, and no-code/low-code automation.
• Business-minded with ability to translate user needs into automation.
• Ability to move quickly from concept to prototype and iterate.

Responsibilities

• Partner with Operations, Finance, Marketing, and Customer Success to identify high-impact automation opportunities.
• Design, build, and deploy AI-powered automations and internal tools.
• Prototype rapidly, validate with stakeholders, and iterate based on outcomes.
• Integrate LLMs, AI agents, RAG, and prompts with existing systems.
• Ensure production readiness with monitoring, documentation, and reusable components.
• Guide governance and scalability of automation initiatives.
• Coach non-technical colleagues to build their own automations.
• Develop reusable templates, prompt libraries, and integration patterns.
• Collaborate with Engineering and IT on platform decisions and standards.
• Track impact metrics and help shape the automation roadmap.

Skills

AI automation

Stakeholder collaboration

Analytical thinking

Communication skills

Mentoring experience

Tools

APIs

Scripting

No-code platforms

AI platforms

Job description

Accountabilities

• - Business partnership and discovery: Collaborate with stakeholders across Operations, Finance, Marketing, Customer Success, and other functions to understand workflows, identify inefficiencies, and prioritize high-value automation opportunities.
• - Solution design and development: Translate ambiguous business challenges into clear technical requirements and build AI-powered automations, internal tools, and integrations using APIs, scripting, AI-native platforms, and no-code or low-code solutions.
• - Rapid prototyping and delivery: Develop and deploy functional initial solutions quickly, validate their impact with stakeholders, and iteratively improve them based on feedback and business outcomes.
• - AI integration: Connect large language models (LLMs), AI agents, retrieval-augmented generation (RAG), and prompt engineering techniques with existing business systems to automate end-to-end workflows.
• - Production readiness and reliability: Transform successful prototypes into dependable production solutions by implementing monitoring, observability, error handling, documentation, and reusable components.
• - Automation governance and scalability: Determine which solutions can remain lightweight, standalone tools and which require more robust architecture to support wider organizational use.
• - Employee enablement and coaching: Support non-technical colleagues in building their own automations through practical guidance, code and workflow reviews, troubleshooting, workshops, and office hours.
• - Reusable frameworks and platform development: Create shared templates, prompt libraries, integration patterns, and automation components that accelerate adoption and reduce duplicated effort across teams.
• - Cross-functional collaboration: Partner with Engineering and IT on platform decisions, technical standards, and infrastructure that enable secure, reliable, and sustainable automation.
• - Performance measurement and strategic planning: Track business impact through metrics such as time saved, reduced error rates, and shorter processing cycles, while identifying future opportunities and helping shape the automation roadmap.

Requirements

• - Proven experience designing, building, and deploying automations, internal tools, or AI-powered workflows that deliver measurable business results.
• - Strong practical knowledge of modern AI technologies, including LLMs, AI agents, retrieval-augmented generation (RAG), and prompt engineering.
• - Experience integrating APIs, scripts, existing business systems, and no-code or low-code automation platforms.
• - A business-oriented mindset, with the ability to understand user needs, ask insightful questions, clarify ambiguous requirements, and prioritize solutions according to their potential impact.
• - Demonstrated ability to move quickly from concept to working prototype, validate assumptions, and refine solutions without overengineering.
• - Sound technical judgment to distinguish between quick, one-off automations and solutions that require production-grade reliability, monitoring, and scalability.
• - Strong written and verbal communication skills, including the ability to explain technical concepts and trade-offs to non-technical audiences.
• - Experience mentoring, training, or supporting non-technical colleagues who build their own tools and automations is an asset.
• - Background in internal tools, Revenue Operations (RevOps), Business Operations (BizOps), or applied AI is considered an advantage.
• - Confidence working with data, including extracting, cleaning, interpreting, and using it to support business decisions.
• - Strong analytical, organizational, and problem-solving skills, combined with a proactive, resourceful, and results-driven approach.
• - Ability to collaborate across diverse teams, adapt to changing priorities, take ownership of deliverables, and communicate progress and challenges transparently.
• - A growth-oriented mindset, with curiosity, empathy, resilience, and a commitment to continuous improvement and inclusive teamwork.

Benefits

• - Competitive salary: Annual compensation range of CAD $110,000–$160,000 for candidates based in Canada.
• - Market-based compensation: Salary benchmarking informed by market data, role scope, geographic location, skills, and experience, with compensation reviewed twice yearly.
• - Comprehensive benefits: Eligibility for a range of employee benefits plans for permanent team members.
• - Flexible work arrangements: Opportunities to work from the Vancouver, British Columbia office in a hybrid capacity, with remote arrangements available for select positions.
• - Professional growth: The opportunity to deepen your expertise in applied AI, automation architecture, and enterprise-wide technology adoption.
• - High organizational impact: Broad visibility across business functions and opportunities to collaborate with senior leadership on strategic initiatives.
• - Collaborative environment: The chance to work closely with technical and non-technical teams while building tools that improve productivity across the organization.
• - Innovation and ownership: Freedom to experiment, develop practical solutions, and influence the long-term direction of AI-powered automation.
• - Inclusive workplace: A commitment to equitable hiring practices, accessibility, diversity, and a supportive environment where different perspectives are valued.