About the RoleWe're hiring our first dedicated owner for OUTFRONT's internal AI platform. Today, our internal AI assistant (OUTGPT, built on the Vercel AI SDK and AWS Bedrock) is moving into production, and our external agent infrastructure (the Agency Connect MCP server, which exposes OUTFRONT inventory and campaign tools to AI buyer agents) is live with early partner adoption. Both need a senior engineering owner, and both need to grow into the foundation of how OUTFRONT works in an AI-native era.
This is a hands-on technical leadership role. You'll own the architecture, write production code, set the direction for our AI platform, and partner closely with our CTO and VP of AI on what comes next. You'll also work with our newly forming automation team, providing the platform spine they build on top of.
If you've wanted to build a meaningful AI platform from the ground up inside a company that's actually committed to it, this is that role.
What You'll Work On- OUTGPT. Take ownership of our internal AI platform, built on the Vercel AI SDK and AWS Bedrock. Move it into full production, build the roadmap, expand model and agent capabilities, integrate with internal data sources, and make it the default surface our 75-person tech org and broader business reach for.
- Agency Connect MCP. Evolve our Model Context Protocol server that exposes OUTFRONT's inventory, holds, and campaign tools to AI buyer agents. This is OUTFRONT's external bet on agent-native ad buying, and it's live.
- Agent infrastructure. Design and build the shared platform that internal automation teams use to ship agents safely: model routing, evaluation, guardrails, observability, secrets handling, cost controls.
- AWS Bedrock and AgentCore. Be our deepest voice on the AWS AI stack. Evaluate, integrate, and operationalize new capabilities as they ship.
- Architectural authority. Own the technical decisions that span our AI surface area, from how OUTGPT integrates with Salesforce and Snowflake to how Agency Connect MCP scales with partner adoption.
- Mentorship. Set the engineering bar for the AI & Automation pod (two engineers and an intern joining behind you). Review their designs, raise their ceiling.
What We're Looking For- 7+ years building production backend or full-stack systems, with at least 2 years building LLM-backed systems that real users depend on. Prototypes don't count here. We need someone who's operated agents and AI services in production and knows where the failure modes live.
- Deep AWS experience. Bedrock specifically is a strong plus. Comfort with Lambda, ECS, App Runner, RDS, and the IAM and networking surface that AI workloads require.
- TypeScript/Node and/or Python proficiency. Our AI platform is TypeScript-forward (Vercel AI SDK, Next.js); Python shows up in agent infrastructure and integrations.
- Hands-on experience with agent frameworks and protocols (MCP, A2A, or equivalent) or a clear track record of evaluating and adopting emerging frameworks quickly.
- Strong API design instincts. You've designed APIs that both humans and agents consume, and you understand why those are different problems.
- You've owned a platform that other engineers built on top of, and you understand the difference between shipping a feature and shipping a capability.
- You can sit with a non-technical partner (a business stakeholder, a buyer-side agency) and turn a fuzzy problem into a working system. Communication and judgment matter as much as the code.
Nice to Have- Experience in advertising technology, particularly programmatic, OOH, or DOOH.
- Familiarity with the M365 / Power Platform surface, since our automation pod operates there for personal-productivity workflows.
- Experience with Snowflake, Sigma, or modern analytics stacks.
- Open source contributions to MCP, agent frameworks, or related ecosystems.
Tech Stack You'll TouchAWS (Bedrock, AgentCore, Lambda, ECS/App Runner, RDS, Cognito), TypeScript/Node, Vercel AI SDK, Next.js, Python, PostgreSQL, MCP, Salesforce, Snowflake, Bitbucket, Kiro, Claude Code.
Reporting and TeamReports to the VP of AI. Partners closely with the CTO, who is the current technical lead on OUTGPT and will remain a hands-on collaborator. Works alongside a Senior Solutions Engineer and Solutions Engineer focused on internal business automation, plus an intern.
For New York, New Jersey, and California, the salary range for this role is $175,000-$200,000 per year. Compensation is determined during our interview process by assessing a candidate's experience and skills relative to internal peers and market benchmarks evaluated for the scope and responsibilities of the position. Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the corresponding Salary Transparency Laws.
To all Recruitment Agencies: OUTFRONT Media LLC does not accept agency and unsolicited resumes. Please do not forward resumes to our OUTFRONT Media employees or any other company locationOUTFRONT Media is not responsible for any fees related to unsolicited resumes.
