AI Engineer

About the Role:

Most companies are still figuring out what it means to be AI-native. Ovative is building it. We have 500+ people across media, measurement, analytics, and strategy who are being asked to work fundamentally differently — and this role is responsible for building and maintaining the technical infrastructure that makes that possible. The things you ship will be in active use across the organization — by real people doing real work. 

This role is responsible for building and maintaining the technical components that keep that system running and expanding. You will implement integrations between our AI platform and the tools people work in every day, build and maintain automated workflows — including the write-back logic that routes outputs into the systems people already work in — and serve as a technical resource for practitioners who are building on top of the infrastructure. 

You report into the AI Strategy & Application team and work closely with IT, the enablement team, and domain experts across the organization. This is a hands-on build role — the expectation is that you are shipping real things that real people are using. The users of what you build are primarily non-engineers.  

Responsibilities of an AI Engineer:

• Build and maintain integrations connecting our enterprise AI platform to the tools and data sources the organization works in — project management, communications, analytics, and others 

• Implement multi-step automated workflows following the orchestration patterns and technical standards established for the program 

• Maintain the system write-back layer: build and sustain the logic that routes outputs, updates task statuses, and writes results back into the operational systems people already use — this is core to how the system closes the loop 

• Serve as a technical resource for domain experts and practitioners when builds go beyond what they can execute independently; help teams scope what is and is not feasible within the current infrastructure 

• Participate in review processes for new agents or automated workflows before organization-wide deployment 

• Troubleshoot integration issues and maintain reliability across the integration layer 

• Contribute to post-deployment monitoring and observability — flag when workflows behave unexpectedly in production, identify failure patterns, and escalate or resolve as appropriate 

• Apply security requirements consistently across all builds: access controls, credential management, audit logging, and principle of least privilege — particularly in integrations that touch operational systems across the organization 

• Contribute to technical documentation and training content that helps the organization build more independently over time 

Requirements:

• 4+ years of experience in software engineering, platform engineering, or applied technical roles 

• Demonstrated experience building and maintaining integrations, automation workflows, or AI-powered tools in a production environment 

• Strong proficiency in Python and SQL, with experience writing production-quality code 

• Experience building API integrations or connecting enterprise SaaS platforms through standard integration patterns, including write-back and bidirectional data flows 

• Familiarity with cloud platforms (AWS, GCP, or Azure); experience with Databricks is strongly preferred 

• Demonstrated hands-on experience working with large language models in production: context windows, prompt structure, tool use, and agent behavior 

• Practical experience applying security requirements in production systems: access controls, credential management, audit logging, and principle of least privilege 

• Familiarity with CI/CD practices and how changes move safely from development to production 

• Familiarity with MCP (Model Context Protocol) or similar tool-use and agent orchestration frameworks; comfort with how agents call tools, manage context, and execute multi-step workflows 

• Comfort operating in an environment where requirements evolve; you can make progress and flag blockers without waiting for a complete spec 

• Ability to work effectively across technical and non-technical teammates — you can explain what you built and why it matters to someone who has never written code 

Preferred 

• Experience working with Claude Enterprise or the Anthropic API 

• Experience supporting non-technical users in building or using automated workflows 

• Exposure to project management, analytics, or communications platform integrations 

• Prior experience in a marketing analytics, media, or professional services environment