Senior AI Solutions Engineer - Remote, Global Impact

Inclusively Remote; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

40 days off per year

Mental health support

Wellbeing allowance

WFH stipend

Flexible parental leave

Job summary

Oyster is hiring a Senior AI Solutions Engineer to drive AI-native transformations across People, Legal, Finance, and Operations. You will lead complex, multi-function initiatives from discovery through adoption and measurable business impact.

Based remotely in the EMEA or AMER regions, you’ll partner with functional leaders, design reliable AI agents and workflows using LLMs, APIs, and enterprise data, and mentor others to raise standards across the team.

Qualifications

• 3+ years of hands-on AI and automation experience across business operations.
• A track record of redesigning workflows or operating models, rather than only automating isolated tasks.
• Experience independently leading complex, cross functional initiatives from an ambiguous problem to measurable business impact.
• Strong automation capability using tools such as n8n, Zapier, Make, or comparable orchestration technologies.
• Strong hands on experience designing, building, deploying, and improving production AI agents and agentic workflows using LLMs, APIs, tools, and enterprise data.
• Strong experience in at least one complex business function such as People, Legal, Finance, Operations, or a related area.
• Experience integrating business systems through APIs, webhooks, and authentication mechanisms.
• Strong judgement about where AI can create value, where processes need deeper redesign, and where automation should not be used.
• Ability to influence functional leaders, challenge assumptions constructively, and align technical and nontechnical stakeholders.
• A track record of mentoring others, sharing expertise, and raising standards across a team.

Responsibilities

• Make business functions AI native.
• Reimagine how teams work with AI. Move teams from manually operating tools and workflows toward humans orchestrating AI powered ways of working, with human judgement where it matters.
• Shape the AI roadmap. Partner with functional leaders to identify, prioritize, and frame high impact transformation opportunities.
• Lead solutions from start to finish. Own complex initiatives from an ambiguous problem through design, build, deployment, adoption, and improvement.
• Build best in class AI agents and solutions. Design, build, test, and continuously improve reliable AI agents, agentic workflows, automations, and integrations using LLMs, orchestration platforms, APIs, tools, and enterprise data sources.
• Apply sound judgement. Balance value, feasibility, risk, data quality, maintainability, and human oversight. Recognize when AI is not the right solution.
• Drive AI adoption and self sufficiency. Partner with functional leaders, managers, and champions to embed AI into everyday work. Help teams move beyond consuming AI outputs toward confidently creating reusable prompts, workflows, and AI powered ways of working.
• Own solutions beyond launch. Measure adoption, quality, reliability, and business impact after release. Continuously improve solutions based on real usage and outcomes rather than treating launch as completion.
• Connect the organization and raise capability. Build trust with functional leadership, share reusable patterns with AI Solutions Engineers supporting other departments, mentor colleagues, and help teams develop the skills and confidence to operate effectively in an AI enabled environment.

Skills

AI & automation

Workflow redesign

Cross-functional leadership

APIs & integrations

Stakeholder influence

Mentoring others

Tools

n8n

Zapier

Make

LLMs

Job description

Oyster is hiring a Senior AI Solutions Engineer to drive AI-native transformations across People, Legal, Finance, and Operations. You will lead complex, multi-function initiatives from discovery through adoption and measurable business impact.

Based remotely in the EMEA or AMER regions, you’ll partner with functional leaders, design reliable AI agents and workflows using LLMs, APIs, and enterprise data, and mentor others to raise standards across the team.