AI Automation Engineer
About The Position
We're hiring an AI Automation Engineer to grow into one of the most interesting roles in our technology org. You'll partner with our Senior AI Automation Engineer to embed with business teams across OUTFRONT, find broken manual processes, and ship AI-powered automations that fix them. You'll spend your first year ramping fast: shipping production work from day one, learning our AWS and Microsoft stacks, building a reputation as someone who delivers. This is an engineering role first. We're hiring for software fundamentals (you can write good code, design clean APIs, debug a real production issue) and we'll teach you the rest. Power Platform, our internal AI tooling, OOH advertising — none of it is a prerequisite. We assume you'll pick those up. What we can't teach you in 90 days is the engineering chops. You'll also contribute to OUTGPT, our internal AI platform built on the Vercel AI SDK and AWS Bedrock. Early on, that means small features and integrations under review. As you grow, you'll own larger pieces.
Requirements
- 2–4 years building production software. Internships count toward the floor if the work was real and the systems shipped.
- Strong software fundamentals. You write clean code, you reason about systems, you can debug a problem you didn't write.
- Hands-on experience with AI/LLMs, whether through professional work, side projects, hackathons, or coursework. You've built something that uses an LLM and learned why it's harder than it looks.
- Practical AWS experience. Lambda, S3, RDS, IAM at minimum. You don't need to be a cloud expert; you do need to be able to ship there.
- Proficiency in Python, TypeScript/Node, or both.
- Comfort with SQL.
- API integration experience. REST, JSON, OAuth basics. You've connected systems and seen things break.
- You want to be in front of customers. You're comfortable sitting with a Finance lead or a Sales Ops manager, asking dumb questions, and walking away with a plan.
- A portfolio that speaks for itself. GitHub, a side project, a deployed app, a meaningful internship — something we can look at and say "this person ships."
Nice To Haves
- Experience with Microsoft Power Platform (Copilot Studio, Power Apps, Power Automate). If you don't have it, you'll learn it.
- Familiarity with the Vercel AI SDK, Next.js, or modern TypeScript stacks.
- Experience with MCP, A2A, or agent frameworks.
- Snowflake, Sigma, or modern analytics stack exposure.
- Experience in advertising technology, particularly OOH or DOOH.
- CS degree or equivalent technical degree. Not required if your portfolio is strong.
Responsibilities
- Automation delivery alongside the Senior.
- Pair on stakeholder engagements early. Take the lead on your own projects as you ramp.
- Ship automations that real business teams use every day.
- AI agents and workflows. Build agents in Copilot Studio for M365-native use cases and in Bedrock for autonomous and system-data work. Ship, learn where they break, ship better ones.
- OUTGPT contributions. Work on features, integrations, and capabilities for our internal AI platform. Your code gets reviewed by the Lead AI Platform Engineer; your bar comes up fast.
- Integration work. REST APIs, webhooks, OAuth, SQL, Snowflake, Salesforce. The connective tissue of every automation we ship.
- Mentorship in both directions. Get mentored by the Senior and the Lead. Mentor our intern. Both will make you better.
Benefits
- Medical, Dental, Vision (including same and opposite-sex domestic partners)
- HSA and FSA plans
- Family Benefits
- Pet Benefits
- 401(k) Plan with an Employer Match
- Paid Time Off
- Commuter Benefits
- Educational Assistance
- Robust Diversity, Equity and Inclusion program including 7 Employee Resource Groups (ERGs)
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
