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Applied Systems

AI Automation Engineer/ Sr. AI Automation Engineer

Posted An Hour Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in United States
Senior level
Remote or Hybrid
Hiring Remotely in United States
Senior level
Build and deploy production micro-apps and LLM-powered agents on a governed GCP platform. Integrate AI with systems (Salesforce, Slack, NetSuite, SQL), harden apps with auth, secrets, CI/CD, logging and monitoring, automate maintenance, and implement evaluation and observability for model quality and drift.
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Job Description
Amazing Career Moments Happen Here
Transforming the insurance industry is ambitious, we know. That's why at Applied, we're building a team that shows up every day ready to learn, willing to try new things, and driven to deliver innovative software and services that make us indispensable to our customers - all within a culture built on values that make us indispensable to each other too. With 40+ years of experience in the Insurtech game, we're not just redefining what's achievable; we're creating a place where amazing career moments are made possible.
Position Overview
We're searching for a Sr. AI Automation Engineer to join our IT AI Automation team in Remote role. This full-time role reports to Manoj Matthew and will help harden, deploy, run, and partner on AI at scale across the business.
The IT AI Automation team partners with business units that build proofs of concept, then hardens and ships those solutions to production on a shared, governed GCP platform with authentication, CI/CD, secrets management, and monitoring.
To keep us headed in the right direction, we're looking for people who understand winning is a team sport, who value and seek to learn from our team's diverse experiences and backgrounds, who welcome a challenge and take risks in the pursuit of creating better outcomes for our customers, and who can, at any given time, step back to laugh and have some fun.
What You'll Do
  • Build and deploy micro-apps with the business. Partner directly with business owners to take proofs of concept from "works on my machine" to production, including dashboards, reconciliation and reporting tools, internal apps, chatbots, and support agents.
  • Build AI integrations and agents. Design, build, and publish reusable Claude skills and agents across the company, including retrieval and tool-calling pipelines grounded in company data.
  • Integrate AI into existing business systems. Build integrations across systems such as Salesforce/Agentforce, Slack, NetSuite, and SQL data sources.
  • Harden applications for production. Apply authentication, access controls, secrets management, CI/CD, logging, monitoring, token and cost controls, and version control for prompts and agent configurations.
  • Operate apps on a governed GCP platform. Run and maintain applications on shared infrastructure, respond to issues, and support the apps the business depends on.
  • Automate secure software maintenance. Build and maintain tooling that auto-updates software libraries and dependencies so deployed apps stay patched and secure.
  • Evaluate and monitor AI quality. Build evaluations, regression tests, and quality monitoring for shipped apps and agents, including task completion, retrieval quality, drift, and system uptime.

We're Excited to Learn More About You
Your experience may include:
  • 5+ years building and shipping production software or data/automation applications.
  • Strong Python skills, solid SQL experience, and comfort working with real, governed data schemas.
  • Hands-on cloud experience, preferably with GCP, including deploying and operating services.
  • Working knowledge of production fundamentals, including authentication/identity, secrets management, CI/CD, logging, and monitoring.
  • Experience integrating with third-party APIs and SaaS platforms.
  • Ability to work directly with business stakeholders and translate evolving requirements into shipped, supportable software.

You may have other skills or credentials, including:
  • Experience building LLM-powered applications and agents, including tool/function calling, retrieval, and agentic workflows.
  • Experience with LLM evaluation and observability tooling such as LangSmith, Langfuse, Braintrust, or equivalents.
  • Familiarity with retrieval pipelines and vector databases such as Vertex AI Vector Search, Pinecone, or pgvector.

We know that talent comes from all backgrounds and experience levels. We encourage military members and their spouses as well as candidates without a degree or a background in tech to apply!
When You Join Team Applied, You Can Expect:
A culture that values who you are and recognizes that you aren't just an employee; you are a teammate, and you matter. We thrive on the benefits of our different experiences and celebrate the uniqueness our teammates bring to work with them every day.
We flex our time together, collaborating remotely and in-person to empower our teams to work in the ways that work best for them.
A comprehensive benefits and compensation package that centers our teammates and helps them to bring their best to work every day:
  • Medical, Dental, and Vision Coverage
  • Holiday and Vacation Time
  • Health & Wellness Days
  • A Bonus Day for Your Birthday

Learn more about the people behind our products at
Our targeted starting base salary in the United States for this position ranges from[$80,000 - $160,000 USD]. To determine a new team member's starting pay, we consider a variety of factors, including someone's depth, breadth, and variety of experience, skills, and responsibilities. Depending on the role, team members may also be eligible to participate in additional compensation plans such as bonus and commission.
Your Security Matters:
Our candidates' personal information and online safety are top of mind for us. At Applied, we proactively protect your personal information and only communicate with candidates via a secure @appliedsystems.com email or through our official careers portal. Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers.
AI Utilization
We leverage AI tools to streamline parts of our recruitment workflow, such as resume parsing and interview scheduling. However, candidate screening, interviews, and final decisions are conducted by real humans.
EEO Statement
Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we don't discriminate, and we are committed to recruit, develop, retain, and promote regardless of race, religion, color, national origin, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law.

Applied Systems Montréal, Québec, CAN Office

60 St-Jacques, Suite 500, Montréal, Quebec, Canada, H21 1L5

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