Lead AI Engineer

Ovative Group, LLC; Minneapolis (MN); On-site; USD 125,000 - 175,000; Full time

Benefits offered by this job

Health insurance, including coverage for same-sex partners

401(k) match program

Generous paid vacation policy

Paid travel to headquarters for company events

Monthly stipend for mobile phone and data plan

Sabbatical program

Charitable giving matched program

Job summary

Ovative Group, LLC is seeking a Lead Engineer based in Minneapolis to develop technical infrastructure for AI-powered workflows. The successful candidate will lead system design and integration, ensuring non-engineers can build workflows independently.

This role requires extensive software and platform engineering experience, with proficiency in Python and SQL. Benefits include health insurance, a 401(k) match program, and generous paid vacation.

Qualifications

• 8+ years of experience in software engineering, platform engineering, or applied technical roles.
• Demonstrated experience designing AI-powered workflow systems.
• Strong proficiency in Python and SQL.
• Hands-on experience with cloud platforms like AWS or Azure.

Responsibilities

• Develop reusable infrastructure patterns for domain experts.
• Design the integration layer connecting AI platforms.
• Maintain CI/CD pipelines for the AI platform layer.
• Document architecture decisions for maintainability.

Skills

Software engineering

Platform engineering

Python

SQL

API integrations

Cloud platforms (AWS, GCP, Azure)

Job description

About Ovative Group

Ovative Group is an independent, full‑funnel media, measurement, and creative firm.

About the Role

Most companies are still figuring out what it means to be AI‑native. Ovative is building it. This role is responsible for building the technical infrastructure that makes that possible at scale. It is a production system that changes how an entire organization operates. The primary measure of success is whether domain experts can build and run workflows without needing engineering involvement.

Responsibilities

• Develop reusable infrastructure patterns and guardrails that allow domain experts to build their own workflows without requiring engineering involvement at every step.
• Design the abstraction layer that separates technical implementation from business logic, so non‑engineers can configure and iterate without breaking the underlying system.
• Serve as the technical owner of Ovative’s AI workflow infrastructure, leading the system from initial design through production use.
• Design and build the integration layer connecting the enterprise AI platform to tools and data sources the organization depends on – project management, communications, analytics, and others.
• Architect the orchestration logic that enables multi‑step automated workflows, including how inputs are routed, how outputs connect back into existing systems, and where human review is required.
• Own the system write‑back layer: design and maintain the bidirectional integration that reads from and writes results back to task management and operational systems, handling output routing, status updates, and the human action loop.
• Own the security and governance framework for all AI integrations and automated workflows – access controls, credential management, audit logging, and principle of least privilege applied from the start.
• Establish and enforce technical standards for how integrations are built, permissioned, and monitored; partner with IT and security to ensure compliance with SOC2 and evolving data governance requirements.
• Build and maintain CI/CD pipelines and infrastructure‑as‑code practices for the AI platform layer so that deployments are repeatable, auditable, and low‑risk.
• Serve as the technical reviewer for new agents and automated workflows before organization‑wide deployment, and own the standards those workflows must meet.
• Design and maintain a post‑deployment monitoring framework for agents and automated workflows – ongoing observability into how workflows behave in production, where failures occur, and when intervention is needed.
• Partner with the AI Lead and stakeholders to evaluate incoming requirements against technical feasibility, surfacing constraints, trade‑offs, and alternatives so the right solution gets built; translate approved requirements into clear technical specifications that guide implementation.
• Document architecture decisions and system behavior so the infrastructure is legible and maintainable beyond any one person.

Requirements

• 8+ years of experience in software engineering, platform engineering, or applied technical roles.
• Demonstrated experience designing and delivering AI‑powered workflow systems, integration platforms, or agent‑based automation in production environments.
• Strong proficiency in Python and SQL, with experience building production platform or data services.
• Experience designing and building API integrations, connector frameworks, or workflow automation systems at enterprise scale – including bidirectional write‑back to operational systems.
• Hands‑on experience with cloud platforms (AWS, GCP, or Azure); experience with Databricks is strongly preferred.
• Hands‑on experience with MCP (Model Context Protocol) or equivalent agent orchestration frameworks; this is a core part of what you will build and operate.
• Demonstrated hands‑on experience working with large language models in production: context windows, prompt structure, tool use, and agent behavior.
• Hands‑on experience operationalizing security requirements: access control, credential management, audit logging, and principle of least privilege in systems with broad organizational reach.
• Strong communication skills and demonstrated ability to lead technical discussions across disciplines; able to explain architecture decisions to a business leader as clearly as to an engineer.
• Experience partnering with non‑technical stakeholders to define system capabilities, including communicating feasibility, constraints, and trade‑offs.
• Demonstrated success building platforms or infrastructure that non‑engineers actually use – not just internal developer tooling.

Preferred Experience

• Experience working with Claude Enterprise or the Anthropic API.
• Experience operating AI systems in governed or compliance‑sensitive environments.
• Experience building multi‑step or multi‑agent automated workflows in a production environment.
• Exposure to project management, analytics, or communications platform integrations.
• Prior experience in a marketing analytics, media, or professional services environment.

Pay Transparency

The compensation range for this Lead Engineer position is $125,000 to $175,000, inclusive of a 25% annual bonus.

Benefits

• Health insurance, including coverage for same‑sex partners.
• 401(k) match program.
• Generous paid vacation policy.
• Paid travel to the Minneapolis headquarters for company and team events.
• Monthly stipend for mobile phone and data plan.
• Sabbatical program.
• Charitable giving matched program.

Equal Opportunity

Ovative is committed to fostering an inclusive environment where everyone can participate and thrive. We do not tolerate discrimination of any kind, including on the basis of race, sexual orientation, gender identity, or gender expression. Our policies reflect this commitment – for example, our medical leave benefits are inclusive of same‑sex partners, ensuring equitable care and support for all families.