Jobs at Applied Systems - ICIMS TEST

Design and implement security controls for LLMs and generative AI systems. Conduct threat modeling, architecture reviews, and vulnerability remediation for ML pipelines. Secure training, fine-tuning, and inference infrastructure, including containers, Kubernetes, and cloud/GPU environments. Develop policies, runbooks, and training; evaluate vendor AI services; assist with proofs-of-concept and incident response for AI-specific threats like prompt injection and model poisoning.

Design, implement, and maintain cloud and edge security across AWS, GCP, and Azure. Deploy Cloudflare WAF and SASE/zero-trust controls, implement CSPM and IaC security, perform threat modeling and incident runbooks, tune detection and monitoring, and mentor junior engineers while participating in on-call rotation.

Lead full-cycle recruiting for Go-to-Market (GTM) and Sales roles in a SaaS environment. Partner with hiring managers to build sourcing strategies, manage candidate experience, design structured interviews, and use recruiting metrics to drive hiring decisions. Coach stakeholders, collaborate cross-functionally, and scale talent pipelines for hard-to-fill GTM positions.

Sell Applied/Ivans technology to P&C carriers and MGAs by building and owning a sales pipeline, executing consultative full-cycle sales, developing targeted strategies, negotiating contracts, closing deals, and collaborating with Solutions and Product teams. Represent the company at industry events and consistently meet revenue targets.

Manage a book of strategic carrier and broker accounts post-sale to drive adoption, utilization, renewal, and expansion. Build senior relationships across underwriting, operations, and IT; run QBRs and executive reviews; deliver product and AI/LLM-focused demos; coordinate cross-functionally; and travel for onsite workshops and executive sessions (up to 50%).

Lead North America agency adoption and engagement for Applied's commercial lines collaboration portfolio. Set strategy, build scalable operating models and playbooks, align cross-functional teams, personally lead executive agency engagements and large migrations, and drive measurable usage and bound premium. Combine digital and human enablement, own change management, and reinforce network effects between agencies and carriers.

Develop and execute test plans and automated tests (primarily Playwright) across UI and API layers. Design test architecture, create CI/CD quality gates, analyze logs and defects, maintain test documentation, resolve technical issues, and collaborate with engineering and architecture teams. Mentor testers and support test automation strategy.

Lead a newly formed data engineering team to standardize data practices, drive cross-functional AI-driven initiatives, and provide hands-on guidance in SQL optimization, data modeling, and the GCP data/streaming stack while balancing people management and technical leadership.

Develop and maintain web applications and microservices using Golang and React. Contribute to architecture and technical decisions, perform code reviews, testing, CI/CD, observability, and performance/security troubleshooting. Mentor junior engineers and collaborate with product, design, and other teams to deliver integrations and high-quality solutions.

Lead design and deployment of AI-driven capabilities for Professional Services, building agentic workers, RAG/LLM-based guidance, and automation across data migration, project management, and implementation. Create AI playbooks, drive adoption and change management, optimize quality and speed, and collaborate with Product and Engineering to align internal AI tools with the product roadmap.

Join the IT AI Automation team to build and harden micro-apps and AI integrations on a governed GCP platform. Contribute to bug fixes, small features, code and design reviews, monitoring, and apply foundational software development and security practices. Gain hands-on experience with Python, SQL, CI/CD, and AI tools while supporting deployments, secrets management, testing, and documentation.

Design, build, and optimize BigQuery-based data models and ETL processes on GCP. Implement BigQuery procedures/functions, manage storage/partitioning/clustering, ensure data quality, collaborate with data scientists and engineers, document designs, and improve data lifecycle and reporting performance.

Lead technical pre-sales for carrier prospects: perform operational and technical discovery, map architectures and integrations, deliver demos and POCs, build sandbox configurations using APIs and Python, author RFI/RFP responses, coordinate site visits, and hand off to implementation while presenting to technical and executive stakeholders. Role is remote in North America with up to 50% travel.

Lead product analytics end-to-end: define metrics and measurement frameworks, analyze user behavior and product performance, build dashboards and self-service analytics, synthesize internal and market data, and deliver strategic recommendations to influence product roadmap and business outcomes while partnering cross-functionally.

Lead and build a product analytics function, define KPI and instrumentation standards, and deliver self-service analytics using Pendo, BigQuery, and Tableau. Partner across Product, Engineering, Data, and GTM to surface product insights, embed measurement into lifecycle, influence roadmap priorities, and scale AI-powered analytics capabilities while growing a high-performing team.

Lead intake, roadmap, and governance for an internal AI automation/platform team. Harden and operationalize business-built AI apps on a shared GCP platform, define quality and responsible-AI standards, run buy-vs-build decisions, manage stakeholders, drive adoption, and measure outcomes and AI economics.

Support daily administration and optimization of the Salesforce platform: gather requirements, configure Flow, fields, layouts, record types and security, maintain data quality, triage support tickets, document processes, and collaborate with senior admins to deliver scalable, user-focused solutions.

Lead portfolio-level strategy and operating cadence for Product and Engineering: prioritize roadmaps, connect work to financial goals, define outcome reporting, enable cross-functional tradeoffs, and drive critical initiatives with E-Team visibility.

Design, deploy, and operate enterprise network infrastructure across GCP, on-premises, and hybrid environments. Manage cloud networking (VPCs, VPNs, routing, firewalls, load balancing, DNS, IPAM), administer F5 BIG-IP, troubleshoot BGP/IPSec, build IaC and automation with Terraform, GitLab CI/CD, and Ansible, monitor network performance, maintain documentation and runbooks, collaborate across teams, and participate in on-call rotations.

Build, harden, deploy, and operate LLM-powered micro-apps and agents on a governed GCP platform. Integrate AI with business systems (Salesforce, Slack, NetSuite), implement CI/CD, secrets and identity controls, monitoring, and automated maintenance. Create retrieval pipelines, evaluation and observability for model quality, and partner with stakeholders to move proofs of concept into production.