[All remote jobs](https://jobicy.com/jobs.md)[![ActiveCampaign logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2021/09/af4e42567a6faa8e315a3991ae7f24a0.jpeg)](https://jobicy.com/company/activecampaign.md)[ActiveCampaign](https://jobicy.com/company/activecampaign.md) # Senior AI Engineer Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/activecampaign.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 148k–203,500 / yrDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceSeniorPublished8 Oct 2026Apply before7 Nov 2026Listing views50Application actions3Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. ActiveCampaign is hiring a Senior AI Engineer to architect and evolve an internal AI agent platform used for high-impact business workflows. The role combines hands-on platform engineering with AI-agent enablement, including deployment patterns, integrations, observability, shared services, permissions, and reliability. The engineer will partner closely with business and technical teams to turn ambiguous opportunities into production-ready agent solutions and resolve root-cause infrastructure issues. Success depends on creating reusable technical foundations that let multiple teams build, operate, and scale AI agents safely and efficiently. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior, highly ambiguous platform role requiring ownership of architecture across AI agents, cloud deployment, integrations, governance, and operational reliability. The engineer must balance strategic technical direction with hands-on debugging and cross-functional delivery. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianMarket rate$175,750US market range$150k–$210k0$231k AI insightThe disclosed yearly base-salary range is $148,000–$203,500 USD, with a midpoint of $175,750. This is competitive with the estimated US market range of $150,000–$210,000 for a senior AI/platform engineer responsible for production AI-agent infrastructure; bonus and equity are explicitly excluded from the posted base range. ## Core skills Skills and capabilities most closely associated with this opportunity. [AI agent architecture](https://jobicy.com/jobs?search_keywords=AI%20agent%20architecture.md)[LLM applications](https://jobicy.com/jobs?search_keywords=LLM%20applications.md)[Platform engineering](https://jobicy.com/jobs?search_keywords=Platform%20engineering.md)[Cloud infrastructure](https://jobicy.com/jobs?search_keywords=Cloud%20infrastructure.md)[System design](https://jobicy.com/jobs?search_keywords=System%20design.md)[API integrations](https://jobicy.com/jobs?search_keywords=API%20integrations.md)[Observability](https://jobicy.com/jobs?search_keywords=Observability.md)[Reliability engineering](https://jobicy.com/jobs?search_keywords=Reliability%20engineering.md)[Technical leadership](https://jobicy.com/jobs?search_keywords=Technical%20leadership.md) Sample interview questionsHow would you design a reusable platform for teams to build and deploy AI agents safely?I would start by defining standardized interfaces for model access, tool integrations, identity and permissions, deployment, evaluation, and telemetry. I would provide opinionated templates and shared services so teams can move quickly while preserving governance, auditability, and operational consistency. Describe how you would investigate an AI agent workflow that is failing intermittently in production. I would first use structured logs, traces, and metrics to isolate whether the failure originates in the model call, orchestration layer, data dependency, authentication path, or third-party integration. After reproducing the issue where possible, I would implement the root-cause fix along with appropriate retries, guardrails, alerts, and regression coverage. What observability capabilities are important for production AI-agent systems? I would instrument end-to-end traces for each agent run, including prompts, tool calls, latency, token and infrastructure cost, model responses, failures, and user outcomes, while protecting sensitive data. Dashboards and alerts should make reliability, quality, usage, and cost trends visible to both platform owners and product teams. How do you balance rapid experimentation with security and governance for AI applications? I separate experimentation from production through controlled environments, approved integration patterns, least-privilege access, and clear data-handling rules. Teams should be able to prototype quickly, but promotion to production should require evaluation evidence, monitoring, ownership, and a defined rollback path. Tell us about a time you translated an ambiguous business objective into a technical solution. I begin by clarifying the desired business outcome, users, constraints, success metrics, and operational risks. I then propose a thin, measurable initial architecture, align stakeholders on tradeoffs, deliver the highest-value capability first, and iterate based on production feedback. Opportunity details ## About this role. Are you a hands-on technical builder passionate about driving business innovation through cutting-edge AI architecture? ActiveCampaign is seeking an Sr AI Engineer – AI Transformation Hub who will sit at the critical intersection of infrastructure and business innovation. In this role, you will not just help build capabilities—you will take meaningful ownership of how key parts of our internal AI agent platform evolve. You will help design the technical foundation that enables teams across the company to build, deploy, operate, and improve AI agents at scale. This position is focused on architecting and owning the core capabilities that make agent development reliable, reusable, and scalable. You will design and improve deployment patterns, integrations, observability frameworks, and shared infrastructure that allow us to move beyond simple automation into complex, mission-critical business processes across the company. Beyond building platform capabilities, you will work directly with cross-functional teams to move agents from ambitious ideas to production-ready solutions. You will help define technical patterns, shape how capabilities should be built, and unblock teams day to day—ensuring our infrastructure directly supports strategic business impact. ### What Good Looks Like * Agent teams can build faster because core infrastructure, standards, and patterns are already in place. * Shared capabilities are designed with enough quality and reusability that multiple teams can adopt them without starting from scratch. * Agent deployment becomes more reliable, supportable, and scalable across a growing set of business use cases. * Technical blockers around integrations, permissions, environments, and monitoring are reduced over time because this role proactively addresses root causes. * The AI Transformation Hub has stronger technical direction around how core agent capabilities should be designed, implemented, and operated. * Builders across the organization are better supported because they have a senior technical partner who can guide design decisions, debug issues, and help move critical work forward. ### On a Typical Day, You Might: * Own the design and evolution of core capabilities within our internal AI agent platform to support high-impact business workflows and AI agents. * Define and improve deployment patterns, shared services, and orchestration approaches that enable complex agent use cases to run reliably. * Partner with business stakeholders to translate high-priority strategic goals into scalable AI agent solutions. * Work hands-on with builders to debug issues, answer technical questions, and unblock day-to-day development while also improving the underlying platform. * Investigate failing repositories, run code locally when needed, and fix infrastructure or environment issues at the root cause. * Build and maintain shared services—such as reusable modules, integration layers, logging patterns, and data access approaches—that multiple teams can leverage. * Drive decisions around observability, governance, permissions, reliability, and cost-aware usage to ensure our AI transformation is sustainable and secure. * Help set technical direction for how new capabilities should be designed so we create durable foundations rather than one-off solutions. * Collaborate across engineering and business functions to identify and shape new high-value opportunities for agent-led innovation. ### The Ideal Candidate Will Bring: * 5+ years of hands-on experience in software engineering, platform engineering, solutions engineering, infrastructure engineering, or a similar technical role. * Strong ability to design and implement production-ready systems across APIs, services, integrations, and data flows. * Experience working with cloud environments and modern application deployment patterns. * Comfort troubleshooting complex technical issues across infrastructure, application logic, and third-party integrations. * Prior experience building internal platforms, shared services, developer tooling, or reusable technical foundations. * Strong understanding of system design, reliability, scalability, and security considerations. * Demonstrated ability to take ownership of ambiguous technical problems and drive them from design through implementation. * Experience defining technical patterns, processes, or standards that other builders rely on. * Practical experience working with AI-powered applications, agent architectures, LLM-based workflows, or adjacent systems. * Strong communication skills and the proven ability to work cross-functionally in a fast-moving environment. * Comfort with ambiguity and a strong builder mentality, and a bias toward practical execution. ### Compensation Compensation details listed in this posting reflect the base rate only and do not include bonus, equity, sales incentives or other role specific compensation that the role may be eligible for. ActiveCampaign believes in and is committed to equitable compensation practices. The salary range provided above is a good faith estimate of the pay range determined by the location associated with the job posting. The actual salary depends on a candidate’s skills, experience, and work location. ### Additional Information About ActiveCampaign: ActiveCampaign is the autonomous marketing platform that gives growing businesses the intelligence to market like a much larger team. Powered by Active Intelligence, ActiveCampaign turns each business’ own data into campaigns, automations, and customer experiences that get smarter over time. Learn more at activecampaign.com. As a global multicultural company, we are proud of our inclusive culture which embraces diverse voices, backgrounds, and perspectives. We don’t just celebrate our differences, we believe our diversity is what empowers our innovation and success. You can find out more about our DEI initiatives [here](https://www.activecampaign.com/about/diversity-equity-inclusion). Perks and benefits: At ActiveCampaign, we prioritize employees’ well-being and professional growth by cultivating a culture centered on collaboration and innovation. When you join our team, you’ll not only have the opportunity to make a significant impact, but also enjoy a range of benefits tailored to support your personal and career development. Here are some of the benefits we offer: -Comprehensive Health & Wellness: Top-tier benefits package that includes a fully-covered High Deductible Health Plan (HDHP), complimentary access to telehealth services, and a free subscription to Calm. -Growth & Development: Access to LinkedIn Learning, professional development programs, and career growth opportunities in a fast-growing organization. -Generous Paid Time Off: Recharge and take the time you need to maintain work-life balance with open PTO. -Total Rewards: Generous 401(k) matching with immediate vesting, quarterly perks with commuter and lunch benefits for hub based employees or a stipend for remote workers, and a four-week paid sabbatical with bonus after five years. -Collaborative Culture: Work alongside brilliant, passionate colleagues in an environment that values innovation, teamwork, and mutual support. ActiveCampaign is an equal opportunity employer. We recruit, hire, pay, grow and promote no matter of gender, race, color, sexual orientation, religion, age, protected veteran status, physical and mental abilities, or any other identities protected by law. Our Employee Resource Groups (ERGs) strive to foster a diverse inclusive environment by supporting each other, building a strong sense of belonging, and creating opportunities for mentorship and professional growth for their members. 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