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We're inviting motivated, people-focused individuals to apply in advance for our Inside Sales Representative training opportunities beginning in January 2026. Key Dates Unlicensed Class Begins: January 26, 2026 Licensed Class Begins: February 9, 2026 A Front Lines Liaison: You rise to the role of representing the Liberty brand, you believe in what you're selling, and you enjoy connecting customers to the right products for their individual needs. A Reliable Teammate: Whether you work at the office or from home, you adapt well to different environments, schedules, and the varying needs of our policyholders. A Customer-Centric Closer: While sales is in your title, integrity is in your nature. That means you sincerely care that our customers get exactly the quality products and services they need to embrace today and confidently pursue tomorrow. Position Details: From day one you will begin paid training in a remote work environment. 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Computer skills with the ability to work with multi-faceted systems. The capabilities, skills and knowledge required through a bachelor's degree or equivalent experience and at least 1 year of directly related experience. Ability to obtain proper licensing as required. The ability to handle multiple competing priorities and organize your day. Strong time management and organizational skills. 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Bachelor's or master's degree in a technical or business discipline, or equivalent experience Proven track record working with various modern architectural patterns, including synchronous/asynchronous APIs, event-driven, serverless, microservices, and MVC Hands-on experience with layered systems architecture, design, and shared software concepts Extensive experience with clean coding practices and quality-focused design Experience designing secure systems, including threat modeling, authentication (authN), authorization (authZ), and STRIDE Experience leading agile teams using SCRUM, Kanban or SAFe frameworks Proven success delivering large-scale, multi-team projects or programs Proven ability to successfully mentor and coach junior engineers Experience with API-based platform integration technologies, such as REST, GraphQL, microservices, Node.js, and Spring Boot Expertise in Java and TypeScript; additional programming language experience preferred Experience with modern cloud platforms and runtime environments (e.g., AWS, Azure, GCP, Cloud Foundry, Kubernetes) Strong data engineering foundational skills: SQL, RDBMS, ETL Proficiency with software development workflow tools, including GitHub, Codacy, Jira, Confluence, etc. Familiarity using GenAI on large/diverse datasets and integrating in the development lifecycle Collaborative and adaptable working style, with demonstrated initiative and ability to prioritize tasks and efforts Strong ability to analyze complex technical problems and recommend improvements to address technology gaps, while enhancing reliability, quality, and efficiency Closely follows emerging technologies, architectural concepts, and principles Strong familiarity with AWS serverless and Spring Boot stacks Experience in the insurance domain, Workers' Compensation, or claims AWS Solutions Architect certified", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618513835216", "isPrivate": false, "latlongs": "43.0717552,-70.7625532"}, {"id": 618513796391, "name": "GenAI Security Platform Architect", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Columbus, Ohio, United States", "Seattle, Washington, United States", "Indianapolis, Indiana, United States", "Portsmouth, New Hampshire, United States", "Indianapolis, Indiana, United States", "Plano, Texas, United States", "Remote, Remote, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1765896120, "t_create": 1760381640, "ats_job_id": "72651", "display_job_id": "2025-72651", "type": "ATS", "id_locale": "2025-72651-en", "job_description": "Bachelor's degree in Computer Science, Engineering, Information Security, or equivalent experience. Minimum 8+ years in Cybersecurity with 3+ years focused on securing AI/ML systems or GenAI applications in production. CISSP certification required Demonstrated deep technical experience designing secure architectures for: ML pipelines and MLOps platforms (data ingestion, feature stores, training, model registry, deployment, monitoring). GenAI workloads (LLM APIs, fine-tuning, RAG, vector databases, agent frameworks). Cloud-native environments (containers/Kubernetes, serverless, service mesh, VPC/network security). Strong knowledge of AI-specific threats and mitigations: data poisoning, model inversion/membership inference, model theft/IP protection, adversarial examples, prompt injection/jailbreaks, exfiltration via outputs, and LLM supply chain risks. Practical familiarity with security frameworks and standards: NIST AI RMF, OWASP Top 10 (including LLM apps), MITRE ATT&CK and ATLAS, or similar. Hands-on experience implementing: Identity and access controls for AI services (service principals, fine-grained IAM, token and key management). Secrets management (Vault, KMS/Key Vault/Cloud KMS/HSM), encryption-in-transit/at-rest, data tokenization, DLP. Monitoring/logging for AI systems (model telemetry, prompt/response logging with privacy controls, drift/anomaly detection). Demonstrated ability to quickly learn and build expertise in diverse and emerging technologies and new architectural concepts and principles Strong influencing and consensus building skills, and the adaptability to respond to change quickly Strong communications skills, both written and verbal Ability to effectively collaborate with all levels of the organization with diverse backgrounds Strong desire to drive change, and ability to adapt to change quickly Excellent communication skills; ability to influence architecture and risk decisions across engineering, product, and executive stakeholders. Experience with enterprise GenAI platforms and tools: MLOps: SageMaker, Vertex AI, Cortex, AWS ML, Azure ML, MLflow, KServe/Seldon/Triton, Feast/Tecton HuggingFace. LLM/GenAI: Azure OpenAI, AWS Bedrock, OpenAI, LangChain/LangGraph/Semantic Kernel, vector DBs (Pinecone, Weaviate, FAISS/Chroma), guardrails/middleware (e.g., Llama Guard, Lakera, Protect AI, Robust Intelligence, HiddenLayer), GitHub Copilot, GitHub Copilot Coding Agent, Devin.ai, M365 Copilot, Copilot Web. Observability: Prometheus/Grafana, ELK/Opensearch, Splunk, Cribl; AI eval frameworks and red-team tooling. Advanced degree (MS/PhD) in Security, ML/AI, or related field is a plus. 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Architect and implement modern front-end experiences (Angular/TypeScript) and robust backend services (Java, Spring Boot, REST). Drive cloud-native designs and integrations across our preferred cloud platforms. Build and maintain automated test suites (unit, integration, system, regression) and champion testability. Improve speed-to-market by identifying and delivering pragmatic short-term solutions while building scalable, long-term architecture. Own and optimize CI/CD pipelines, development tooling and release practices. Apply AI/ML tools and practices where they add business value; be comfortable experimenting and iterating with new techniques. Mentor and grow junior engineers, foster healthy engineering practices, and collaborate closely with Product Owners, Scrum Masters and QA. Proactively identify technical debt and propose solutions to reduce risk and increase Bachelor's or master's degree in a technical or business discipline, or equivalent experience. 5-7 years of professional software development experience (flexible for exceptional candidates). Strong expertise in front-end frameworks (Angular preferred; knowledge of React or Vue a plus) and TypeScript. Solid experience building backend services in Java (Spring Boot) and designing RESTful APIs. Practical cloud experience (AWS) and familiarity with cloud architecture patterns. Proven experience with automated testing strategies and CI/CD tooling. Comfortable with Agile practices (Scrum, Kanban) and collaborating on cross-functional teams. Excellent communicator, proactive problem-solver, and a collaborative leader who mentors others. Eagerness to learn and adopt innovative technologies and practices, including AI-assisted development.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618514063125", "isPrivate": false, "latlongs": "39.768403,-86.158068"}, {"id": 618514381717, "name": "Assistant Director, Data Science", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Seattle, Washington, United States", "Portsmouth, New Hampshire, United States"], "hot": 0, "department": "Data Science", "business_unit": "0014-Global Legal & Compliance-US", "t_update": 1765904700, "t_create": 1764535560, "ats_job_id": "73410", "display_job_id": "2025-73410", "type": "ATS", "id_locale": "2025-73410-en", "job_description": "Develops predictive and explanatory AI solutions that help improve legal decision-making using deep learning, machine learning, NLP (Natural Language Processing), and generative AI techniques. Applies broad knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets to generate insights to inform business decisions. Identifies new strategic opportunities for use of theoretical methods and tools. Researches and develops predictive analytic tools. Leverages knowledge to create and design solutions for business needs. Mines large data sets using sophisticated analytical techniques to generate insights and inform business decisions. Identifies and tests hypotheses, ensuring statistical significance, and builds predictive models for business application. Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data. Enables the business to make clear tradeoffs between and among choices, with a reasonable view into likely outcomes. Customizes analytic solutions to specific client needs. Responsible for larger components of projects of moderate to high complexity. Guides aspects of project design as a technical consultant for the team. Regularly engages with the data science community and participates in cross functional working groups. Broad knowledge of predictive analytic techniques and statistical diagnostics of models. Expert knowledge of predictive toolset and serves as expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Demonstrated proficiency in Python. Experience working with common technical infrastructure utilities (cloud-based compute, storage services, version control, etc). Ability to effectively self-manage longer-term efforts by establishing and adhering project milestones and deadlines. Networks with key contacts outside own area of expertise. Ability to establish and build relationships within the aligned functional area or business unit. Ability to give effective training and presentations to peers, management and business leaders. Ability to use results of analysis to persuade team or department management to a particular course of action. Has a value driven perspective with regard to understanding of work context and impact. Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 2 years of relevant experience, a Master's degree (scientific field of study) and a minimum of 4 years of relevant experience or may be acquired through a Bachelor's degree (scientific field of study) and a minimum of 5+ years of relevant experience. Experience developing and implementing generative AI solutions. Understanding of MLOps principles to aid in development and deployment of efficient, robust, and repeatable work products. 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Collaborate Across Domains: Partner with domain champions, product owners, and tech leads to align data engineering efforts with PI planning goals, sprint cadences, and cross-functional dependencies. Mentor and Grow Talent: Lead and develop a high-performing data engineering team, fostering a culture of innovation, accountability, and continuous improvement. Advance AI-Driven Engineering: Champion the adoption of AI and machine learning within data engineering to enhance automation, analytics, and intelligent data processing. Collaborate with architecture and product teams to identify opportunities where AI can accelerate delivery, improve data quality, and unlock new business insights. Be a Change Advocate: Act as a champion for transformation by promoting a culture of agility, innovation, and continuous improvement. Help teams embrace new ways of working, navigate ambiguity, and adopt modern engineering practices aligned with the DAE Capability roadmap and Frontier Program goals. Influence stakeholders across business and technology to drive alignment, engagement, and momentum. Foster Collaborative Partnerships: Build strong, trust-based relationships across engineering, Data Office, architecture, and business teams. Act as a connector between squads and Data Office partners, ensuring alignment on priorities, dependencies, and delivery timelines. Facilitate open communication and shared ownership to drive integrated solutions that support USRM and DAE goals. Lead Talent Development: Coordinate and deliver performance reviews, drive professional growth, and facilitate mentoring opportunities across the team. Actively engage in recruiting processes, hire top-tier talent, and foster an inclusive, high-performing engineering culture Lead efforts across the DAE organization aligning with people, process and technology initiatives. Bachelor`s or Master`s Degree in technical or business discipline. Minimum of 7+ years of Data delivery experience. 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