Jobs at ICW Group

Lead information security engineer responsible for designing and implementing comprehensive security architectures across ICW Group's IT and business technology infrastructure. Will conduct risk assessments, penetration tests, and security compliance reviews; partner with systems engineering and project management teams to ensure secure design throughout the development lifecycle; and lead remediation strategies for identified vulnerabilities.…See more Requires 10+ years of security engineering experience, AWS cloud security expertise (3–5 years preferred), and hands-on proficiency with IDS/IPS, firewalls, SIEM, forensics tools, and endpoint security solutions.

Information Security Engineer III will lead security architecture reviews and threat modeling for data, analytics, AI, and cloud initiatives at an insurance company. The role involves designing and implementing security controls for AWS data platforms and AI/ML workloads, providing oversight of LLM usage and emerging AI threats, and mentoring engineering teams on secure development practices.…See more You will partner with Engineering, Cloud, Data, and Operations teams to embed security into system design, manage compliance with NIST, NYDFS, PCI DSS, and CPRA/CCPA standards, and evaluate third-party vendors and security tools. The position requires 8+ years of security engineering experience, 3-5 years in AWS cloud security, and expertise in threat modeling, risk assessment, and incident management.

The Data Governance Analyst III leads enterprise data governance initiatives, including development and maintenance of metadata repositories, data catalogs, and governance processes. Responsibilities include configuring catalog systems, establishing metadata standards and policies, managing data quality documentation, and collaborating with business and technical teams on data definitions and quality issues.…See more The role requires advanced SQL expertise, experience with SaaS platforms and data catalog tools, and knowledge of metadata management best practices.

Lead enterprise IT strategy, architecture, portfolio management, and organizational change for a major transformation initiative. Own the Strategy & Transformation Office (STO) as a multidisciplinary function spanning enterprise architecture, Lean Portfolio Management, Agile delivery, and change management.…See more Direct four functional leaders, manage the STO budget and staffing, establish governance standards and metrics across teams, and personally sponsor the organization's shift to unified strategy and decision-making. Require 12+ years in enterprise architecture, portfolio management, or IT strategy with 7+ years leading multidisciplinary teams and delivering transformation programs.

Lead enterprise IT strategy, architecture, portfolio management, and organizational change across a major transformation program. Direct a multidisciplinary leadership team (Enterprise Architecture, Lean Portfolio Management, Agile Delivery, Organizational Change Management) and own the STO's operating model, governance, budget, and staffing.…See more Drive repeatable change methodologies, adoption metrics, and stakeholder readiness across concurrent initiatives, while personally modeling governance standards and serving as escalation point for complex cross-functional strategy and delivery problems.

The MLOps Engineer II designs, develops, and operates scalable machine learning infrastructure and deployment pipelines on AWS, working with data scientists and cloud engineers to productionize ML models. Responsibilities include building ML pipelines using SageMaker, Lambda, Step Functions, and S3; implementing CI/CD pipelines with GitHub and AWS tools; developing Infrastructure-as-Code using CloudFormation, Terraform, or AWS CDK; and ensuring production ML systems are reliable, secure, and cost-efficient.…See more The role requires strong Python coding skills, hands-on AWS experience, production ML deployment experience, and the ability to independently implement technical solutions. Candidates will also lead FinOps optimization, implement monitoring and alerting, ensure security and compliance, and mentor junior engineers.

The Applied AI Engineer develops, deploys, and maintains generative AI solutions for insurance products and customer experiences. Responsibilities include implementing end-to-end AI/ML pipelines using AWS services (SageMaker, Lambda, ECS/EKS), feature engineering with Snowflake, model fine-tuning and testing, and monitoring production performance.…See more The role requires 3+ years of AI/ML experience with 1–2 years in generative AI or LLMs, hands-on cloud deployment experience, and proficiency in Python, PyTorch, TensorFlow, or Hugging Face Transformers.

Cloud Security Engineer III responsible for designing, implementing, and maintaining security controls across the company's infrastructure with a focus on AI/ML platforms. The role involves monitoring AI/ML systems for anomalous behavior, identifying and remediating vulnerabilities in ML pipelines, and collaborating with data scientists to implement secure AI/ML solutions.…See more Requires 8+ years of security engineering experience, 3-5 years of AWS cloud security expertise, AWS Security Certification, and foundational knowledge of ML lifecycle and AI/ML security concepts.

This Data Engineer II role focuses on data operations and infrastructure, supporting the transition of data systems from development to production. The engineer will administer data lakehouse/warehouse platforms (Snowflake, Databricks, Redshift, BigQuery, Azure Synapse), manage RBAC and user governance, monitor and troubleshoot data pipelines, and contribute to data governance and quality best practices.…See more Key responsibilities include orchestration tool administration (Apache Airflow, dbt), observability framework development, incident management, and hands-on SQL and Python work to maintain and optimize production data systems.

The EDI Administrator supports Electronic Data Interchange compliance and reporting across multiple jurisdictions and lines of business. Primary responsibilities include collecting and analyzing claims, financial, and operational data; monitoring regulatory updates; reconciling FROI/SROI diaries and Medicare Section 111 reporting; identifying and resolving data discrepancies; and managing daily inbound/outbound EDI data flows.…See more The role partners with Claims, Compliance, IT, and regulatory agencies to ensure data quality, timeliness, and compliance with federal and state requirements, while identifying process improvements and supporting training initiatives.

AI Architect role requires designing and delivering enterprise-scale AI/ML solutions on AWS, with 5–7 years of cloud experience and 2–3 years hands-on with LLMs, agentic frameworks, and AI/ML services. The position demands deep expertise in AWS AI services (Bedrock, SageMaker, Kendra), orchestration frameworks (LangChain, LangGraph), RAG pipelines, MLOps tooling, and responsible AI principles.…See more Candidates must architect scalable, cost-optimized solutions integrating AI with cloud infrastructure, data platforms, and microservices, and communicate complex technical concepts to executive and technical audiences.

ICW Group, a national insurance carrier, seeks Software Engineer III positions to provide technical support for organizational operations and maximize system performance. The role requires a degreed background and involves supporting the organization's technology infrastructure.…See more Two Software Engineer III openings are available with telecommuting permitted and salaries ranging from $139,485 to $189,347. The company also seeks an IT Project Manager I to assist in day-to-day project operations and ensure project objectives are met.

Network Engineer II designs, maintains, and troubleshoots ICW Group's multi-vendor network infrastructure, including LAN, WAN, MPLS, SAN fabric switches, server load balancers, and VoIP systems. Provides 3rd tier technical support, works with security and project teams to mitigate network risks, and ensures compliance with ITIL and regulatory standards.…See more Requires a Bachelor's degree in Computer Science or related field, minimum 5 years of networking experience, CCNA or JNCIA certification (CCNP or JNCIS preferred), and hands-on expertise with Juniper networking devices, VMware virtualization, routing protocols, and firewall administration.

The AI Architect II is a senior technical leadership role responsible for establishing architectural standards and patterns for AI solutions, including RAG pipelines, agentic workflows, and model serving. The role involves designing scalable AWS cloud architectures, defining MLOps practices, implementing responsible AI governance, and translating business requirements into enterprise AI and cloud strategies.…See more The position requires hands-on technical expertise to evaluate and integrate AI/ML services, lead systems design across microservices and event-driven architectures, and mentor engineering teams on cloud and AI best practices. This role drives technology decisions with real business impact while modernizing the company's platform through cloud-native and AI transformation initiatives.

The Digital Portals Technical Product Owner bridges business stakeholders, development teams, and end-users to drive the development and delivery of digital portal products. The role owns the product vision, roadmap, and strategy; prioritizes the backlog based on business value; participates in agile ceremonies; and validates requirements before development.…See more The ideal candidate has 6+ years leading technical teams and translating requirements across business and technical audiences, plus 3+ years as a Product Owner or Product Manager, with insurance industry experience highly desired.

The Applied AI Engineer develops, deploys, and maintains generative AI solutions for insurance products and internal workflows. The role involves implementing end-to-end AI pipelines using AWS services (SageMaker, Lambda, ECS/EKS, S3), building feature engineering workflows in Snowflake, and collaborating with cloud and MLOps teams.…See more Candidates need 3+ years of AI/ML engineering experience with 1–2 years focused on generative AI or LLMs, proficiency in Python and frameworks like PyTorch or Hugging Face Transformers, and hands-on cloud deployment experience. The position requires monitoring model performance, ensuring security and compliance, and supporting AI architecture reviews.

The Product Owner drives product strategy and delivery for an insurance carrier, serving as the bridge between business stakeholders, development teams, and end-users. Responsibilities include defining and communicating product vision, converting business ideas into a prioritized backlog, facilitating agile ceremonies (sprint planning, grooming, retrospectives), and validating roadmap items prior to development.…See more The role requires 6+ years of related experience (including leading technical teams and translating requirements), minimum 3 years as a Product Owner or Product Manager, and a Bachelor's degree in Business, Finance, Computer Science, Engineering, or related field. Certified Product Owner (CPO) certification is required; SAFe is preferred.