OneMagnify is an AI native, platform-enabled B2B digital agency operating at the intersection of data, technology, and creativity. We help complex organizations drive measurable business outcomes by building smarter customer experiences and delivering highly integrated solutions across digital, media, and technology. By combining deep industry expertise with advanced analytics and artificial intelligence, we enable our clients to make better decisions, move faster, and compete more effectively in dynamic markets.
Role Summary
As Lead Engineer, AI Platform, you will own the architecture and evolution of the enterprise AI platform that powers AI agents across OneMagnify products and client solutions. This role sits at the center of engineering, product, data, and AI delivery, translating emerging AI capabilities into reliable, production-ready systems. You'll guide both technical direction and execution, helping teams deploy AI workflows that are secure, measurable, and trusted at scale. Your work will shape how OneMagnify builds, governs, and operates AI across the organization.
The Impact You'll Have
AI agents are becoming a core part of how businesses automate work, deliver customer experiences, and make decisions. You'll create the platform foundation that enables product and engineering teams to move AI solutions from experimentation into reliable, enterprise-grade production environments.
Your work will directly support client-facing applications, AI-powered workflows, and digital platforms where reliability, safety, and performance matter. From connecting agents to enterprise knowledge to establishing evaluation frameworks and governance controls, you'll help ensure AI solutions deliver measurable business outcomes while operating within clear guardrails.
This role also plays a critical part in OneMagnify's integrated delivery model. You'll collaborate with product, engineering, data, security, and delivery teams to create shared capabilities that accelerate innovation while maintaining the scalability, governance, and operational discipline expected of enterprise software platforms.
What You'll Do
Shape the AI Platform Strategy
Own the architecture for agent orchestration, multi-agent workflows, tool integrations, and human approval processes across the enterprise AI platform.
Evaluate models, frameworks, platforms, and vendors, making decisions that balance scalability, reliability, quality, and cost.
Partner with product and engineering leaders to ensure the platform supports current and future AI use cases.
Build Enterprise Knowledge & Context Systems
Design and implement retrieval pipelines and vector-based knowledge systems that connect AI agents to enterprise data and content.
Determine when prompting, retrieval-augmented generation, or model customization delivers the best business outcome.
Enable product teams to build AI experiences grounded in accurate, relevant enterprise knowledge.
Establish AI Quality, Safety & Governance
Create the frameworks used to evaluate AI performance, including offline and online evaluations, regression testing, red teaming, and release quality gates.
Design safeguards such as least-privilege access, sandboxing, audit trails, approval workflows, and usage controls.
Define measurable standards that allow teams to confidently deploy AI solutions into production environments.
Operate a Scalable Enterprise Platform
Lead the operation of a multi-region cloud platform with accountability for availability, performance, disaster recovery, security, and cost management.
Build observability capabilities including metrics, tracing, telemetry, alerting, and service-level objectives.
Lead incident response practices, on-call operations, escalation processes, and continuous improvement through post-incident reviews.
Lead Engineering Excellence
Mentor and develop engineers on the AI Platform team while establishing engineering standards and best practices.
Collaborate with engineering, product, and…