<div><strong>As a Principal Engineer in AI Security, you will define and lead Thrivent’s strategy for defending against emerging external AI-powered threats. This role focuses on protecting the enterprise from adversarial AI capabilities, including automated vulnerability discovery, exploitation, and AI-driven attack campaigns. You will operate at the intersection of cyber defense, artificial intelligence, and enterprise architecture, translating rapidly evolving external threats into practical, scalable protections across the organization. This role requires deep technical expertise, strong systems thinking, and the ability to influence security strategy at the highest levels.<br></strong><br></div><h3>DUTIES &amp; RESPONSIBILITIES:</h3><div><br><strong>Designing Solutions</strong></div><ul><li>Apply expert-level knowledge of AI-driven threats, cyber defense, and enterprise security architecture to define and drive outcomes that protect the organization from emerging AI-powered attack vectors.</li><li>Create the enterprise strategy for defending against AI-enabled threats, including automated vulnerability discovery, exploitation, and adversarial AI techniques.</li><li>Establish architecture for detection, prevention, and response capabilities specific to generative AI threat patterns.</li><li>Define and implement security patterns and guardrails to enable safe and secure enterprise consumption of AI technologies.</li><li>Drive integration of AI threat detection and controls into existing cyber defense tooling and platforms.</li><li>Build threat models focused on generative AI attack patterns and emerging adversarial techniques.</li></ul><div><br><strong>Implementing Solutions</strong></div><ul><li>Use independent, critical thinking to translate evolving AI threat intelligence into scalable engineering controls and defensive capabilities.</li><li>Lead the development of detection and response mechanisms for AI-driven attacks across enterprise environments.</li><li>Design and implement telemetry strategies to identify anomalous behavior indicative of AI-enabled threats.</li><li>Partner with Cyber Defense teams to operationalize detections, response playbooks, and automation for AI-related incidents.</li><li>Prototype and evaluate defensive applications of AI to enhance detection, response, and security operations.</li><li>Develop architecturally significant components that advance the organization’s ability to defend against AI-driven adversaries.</li></ul><div><br><strong>Learning and Applying New Techniques</strong></div><ul><li>Lead research initiatives focused on emerging AI threat capabilities, adversarial AI techniques, and evolving attack methodologies.</li><li>Maintain deep expertise in industry frameworks such as OWASP LLM Top 10 and MITRE ATLAS.</li><li>Continuously evaluate and introduce modern security technologies and approaches to address AI-era risks.</li><li>Drive adoption of innovative defensive techniques across the organization to stay ahead of threat evolution.</li></ul><div><br><strong>Collaborating Within the Team</strong></div><ul><li>Provide deep technical expertise in AI security to solve complex, high-impact problems and remove critical technical roadblocks.</li><li>Partner with product owners and engineering teams to incorporate AI security requirements into technical designs and user stories.</li><li>Act as a technical leader in system design across teams, ensuring AI security considerations are embedded into broader architecture decisions.</li><li>Mentor engineers and elevate AI security capabilities within teams.</li></ul><div><br><strong>Collaborating Across Teams</strong></div><ul><li>Partner closely with Cyber Defense, IAM, and Application Security teams to integrate AI threat protections across the security ecosystem.</li><li>Promote adherence to enterprise security standards while extending them to address AI-specific risks.</li><li>Broker design and implementation of AI security controls across product teams to support strategic priorities.</li><li>Drive alignment across teams on detection engineering, telemetry, and response strategies for AI threats.</li></ul><div><br><strong>Collaborating Across the Organization</strong></div><ul><li>Influence senior leadership on AI risk posture, threat landscape evolution, and required investments in defensive capabilities.</li><li>Provide enterprise-wide guidance on AI security architecture, ensuring consistent and scalable protection strategies.</li><li>Represent the organization externally on AI security topics when appropriate (industry forums, partnerships, etc.).</li><li>Translate complex AI security risks into actionable insights for both technical and non-technical stakeholders.</li></ul><div><br><strong>Setting Product/Platform Technology Strategy</strong></div><ul><li>Define enterprise-level capabilities required to defend against AI-powered threats.</li><li>Shape the strategic direction for AI security across cyber defense, detection engineering, and secure AI adoption.</li><li>Provide subject matter expertise to guide platform and security investments related to AI risk mitigation.</li></ul><div><br><strong>Defining Engineering Standards/Patterns</strong></div><ul><li>Establish and promote engineering standards for AI security, including secure AI usage patterns and detection frameworks.</li><li>Collaborate across teams to ensure consistent application of AI security controls and design patterns.</li><li>Drive adoption of best practices for integrating AI threat protections into engineering workflows and platforms.</li></ul><div><br><strong>DevOps</strong></div><ul><li>Provide technical leadership in identifying and responding to AI-driven security incidents and emerging threats.</li><li>Introduce resilient and scalable technologies to improve detection and response capabilities for evolving attack patterns.</li><li>Evaluate and implement enhancements to CI/CD and operational pipelines to incorporate AI security controls.</li><li>Influence cross-functional teams to proactively address risks associated with AI-enabled development and deployment.</li></ul><div><br><strong>Selecting and Managing Technology Vendors</strong></div><ul><li>Provide technical expertise in evaluating AI security tools, detection platforms, and emerging defensive technologies.</li><li>Assess how vendor solutions align with enterprise strategy for defending against AI-driven threats.</li><li>Contribute to selection criteria for platforms that enhance AI security posture and detection capabilities.</li></ul><div><br><strong>Coaching Engineers</strong></div><ul><li>Mentor engineers in AI security concepts, threat modeling, and detection engineering.</li><li>Provide guidance on best practices for securing AI-enabled systems and defending against adversarial AI techniques.</li><li>Deliver training, workshops, and knowledge-sharing sessions to build AI security expertise across the organization.</li></ul><div><br><strong>Recruiting and Building Talent</strong></div><ul><li>Engage in the broader AI and security community to strengthen organizational expertise and visibility in AI security.</li><li>Support recruitment efforts to hire engineers with specialized skills in AI security and advanced cyber defense.</li><li>Model Thrivent’s leadership competencies: Model the Way, Rally the Team, and Deliver Outcomes.</li><li>Foster a culture of continuous improvement, innovation, and strong security practices aligned to evolving AI risks.</li></ul><div><br><strong>QUALIFICATIONS &amp; SKILLS:</strong></div><h3>Required:</h3><ul><li>Bachelor's degree in Computer Science, Cybersecurity, or related technical field, or equivalent work experience</li><li>10+ years of experience in security engineering or related field</li><li>Proven experience defining and executing enterprise security strategy</li><li>Deep knowledge of modern threats, attack techniques, and detection engineering</li><li>Experience with threat modeling, incident response, and security operations</li><li>Demonstrated ability to influence both technical and executive stakeholders</li></ul><h3>Preferred:</h3><ul><li>Experience working with AI/ML systems and security implications</li><li>Knowledge of adversarial AI techniques and AI threat modeling</li><li>Experience with XDR, SIEM, and detection engineering practices</li><li>Familiarity with AI security frameworks (e.g., OWASP LLM Top 10, MITRE ATLAS)</li><li>Financial services industry experience</li></ul><div>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp;</div><div><strong>Pay Transparency</strong></div><div>Thrivent’s long-term growth depends on attracting, rewarding, and retaining people who are committed to helping others thrive with purpose. We accomplish this by offering a wide variety of market competitive compensation programs to attract, reward, and retain top talent.&nbsp; The applicable salary or hourly wage range for this full-time role is $161,436.00 - $218,415.00 per year, which factors in various geographic regions.&nbsp; The base pay actually offered will be determined by a variety of factors including, but not limited to, location, relevant experience, skills, and knowledge, business needs, market demand, and other factors Thrivent deems important.</div><div><br></div><div>Thrivent is unique in our commitment to helping people to be wise with money and live balanced and generous lives.&nbsp; That extends to our benefits.</div><div><br></div><div>The following benefits may be offered:&nbsp; various bonuses (including, for example, annual or long-term incentives); medical, dental, and vision insurance; health savings account; flexible spending account; 401k; pension; life and accidental death and dismemberment insurance; disability insurance; supplemental protection insurance; 20 days of Paid Time Off each year; Sick and Safe Time; 10 paid company holidays; Volunteer Time Off; paid parental leave; EAP; well-being benefits, and other employee benefits.&nbsp; Eligibility for receipt of these benefits is subject to the applicable plan/policy documents.&nbsp; Thrivent’s plans/policies are subject to change at any time at Thrivent’s discretion.</div>

Principal Engineer - AI Security

<div><strong>Application deadline</strong>: July 08, 2026<br><br></div><div><br>This role bridges HOPE’s AI strategy with the daily operations of every department. The AI enablement &amp; implementation specialist will embed with teams across the organization (including Advancement, Finance, HR, Programs, Savings Groups, and Microfinance) to understand their processes, pain points, and goals. They will, when needed, help design, build, and deploy AI-powered solutions (primarily within the Microsoft Copilot ecosystem) and equip staff to use them confidently and responsibly. This is a hands-on role that requires equal parts business consulting, technical implementation, and teaching.<br><br></div><ul><li><strong>Location:</strong> Lancaster, PA,</li><li><strong>Level:</strong> Senior Professional</li><li><strong>Salary range:</strong> $68,000-$73,000</li><li><strong>Type:</strong> Full-time</li><li><strong>Department:</strong> Information Technology</li><li><strong>Reports to:</strong> Director of IT &amp; AI Enablement</li></ul><div><br>Responsibilities<br><br></div><ul><li>Promote and contribute to the fulfillment of HOPE International’s mission and vision.</li></ul><div>Department Discovery &amp; Business Process Analysis</div><ul><li>Partner with department leaders and staff to map current workflows, identify inefficiencies, and surface high-value opportunities where AI can reduce manual effort, improve quality, or accelerate outcomes.</li><li>Translate business needs into clear technical requirements for AI solutions, serving as the bridge between non-technical staff and technology capabilities.</li></ul><div>AI Solution Design &amp; Implementation</div><ul><li>Build and deploy practical AI solutions using Microsoft 365 Copilot, Copilot Studio (agents), Power Automate, and related tools — including custom agents, prompt libraries, and automated workflows.</li><li>Evaluate, pilot, and integrate AI tools and features, paying close attention to data ownership, confidentiality, security, and alignment with HOPE’s AI governance policies.</li></ul><div>Training, Enablement &amp; Adoption</div><ul><li>Design and deliver role-based AI training sessions that build staff confidence and competence with approved AI tools. Help users understand how AI can help them use AI better.</li><li>Create internal enablement resources — quick-start guides, FAQs, video walkthroughs, and use-case examples — that make AI tools approachable for non-technical audiences.</li><li>Provide one-on-one coaching and “office hours” support to help staff embed AI into their daily routines.</li></ul><div>Measurement, Reporting &amp; Continuous Improvement</div><ul><li>Track adoption metrics, usage patterns, and workflow impact to evaluate the effectiveness of AI implementations and report findings to leadership.</li><li>Gather ongoing feedback from staff to identify new use cases, unmet needs, and areas for improvement.</li><li>Stay current on emerging AI capabilities, especially within the Microsoft ecosystem, and recommend new features or tools for piloting.</li></ul><div>Responsible AI &amp; Stewardship</div><ul><li>Ensure all AI implementations adhere to HOPE’s guiding principles: wise exploration, ethical and mission-aligned use, human-centered design, and responsible governance.</li><li>Help translate responsible AI concepts into clear, faith-informed guidance grounded in stewardship, trust, and care for others.</li><li>Comply with HOPE’s AI Acceptable Use Policy, data protection requirements, and all applicable reporting procedures.</li></ul><div><br>Qualifications<br><br></div><ul><li>Personal confession of Christian faith and commitment to the mission and vision of HOPE International.</li><li>3+ years of experience in one or more of the following: IT, business process improvement, digital transformation, AI/ML implementation, or technology consulting.</li><li>Demonstrated ability to analyze business processes, identify automation/AI opportunities, and implement solutions end-to-end.</li><li>Working knowledge of generative AI tools and concepts (e.g., prompt engineering, agents, context windows, model differences).</li><li>Experience with the Microsoft 365 ecosystem; hands-on experience with Microsoft Copilot, Copilot Studio, Power Platform, or similar tools.</li><li>Strong written and verbal communication skills, especially the ability to explain technical concepts to non-technical audiences.</li><li>Proven ability to design and deliver effective training or enablement programs.</li><li>Comfort working across departments, building relationships, and navigating ambiguity with a posture of humility, curiosity, and service.</li><li>Experience in nonprofit, international development, or faith-based organizations preferred.</li><li>Familiarity with AI governance, data protection, privacy, or information security concepts preferred.</li><li>Cross-cultural awareness or experience working in global contexts preferred.</li><li>Familiarity with project management tools (e.g., Asana, Jira) preferred.</li></ul><div>&nbsp;</div>

AI Enablement & Implementation Specialist

<h3>Description</h3><div>The Principal Artificial Intelligence (AI) Software Architect leads the design, development, and deployment of advanced AI and software engineering solutions across the enterprise.&nbsp; This role blends deep expertise in artificial intelligence with architectural leadership in software systems, driving innovation, scalability, and excellence in engineering practices.<br><br></div><div><strong>&nbsp;PRINCIPAL RESPONSIBILITIES AND DUTIES:<br></strong><br></div><ul><li>Architects and leads the development of AI-driven platforms and scalable software systems aligned with strategic business goals.</li><li>Collaborates cross-functionally with engineering, product, and business teams to define use cases and deliver impactful solutions.</li><li>Evaluates and selects AI and software technologies, frameworks, and tools for optimal performance, scalability, and maintainability.</li><li>Establishes and promotes best practices in AI model development, MLOps, software engineering, DevOps, and system architecture.</li><li>Mentors engineering teams, fostering a culture of innovation, excellence, and continuous improvement.</li><li>Drives technical strategy and long-term planning, aligning engineering efforts with enterprise objectives.</li><li>Ensures compliance with data privacy, security, and ethical standards in all AI and software initiatives.</li><li>Champions engineering excellence through code reviews, automated testing, CI/CD, and agile methodologies.</li><li>Other duties as needed or assigned.</li></ul><div><br><strong>SKILLS AND ABILITIES REQUIRED:<br></strong><br></div><ul><li>Hands-on experience driving innovation through emerging technologies and methodologies.</li><li>Excellent communication skills and leadership skills with a track record of mentoring and influencing teams.</li><li>Proven experience designing and deploying AI/ML and software solutions at scale in cloud environments such as Azure, AWS, GCP.</li><li>Expertise in machine learning, deep learning NLP, computer vision, and generative AI.</li><li>Ability to demonstrate strategic thinking and the ability to align technical vision with business objectives.</li><li>Ability to build trust and influence across all levels of the organization, driving consensus and momentum for complex initiatives.</li><li>Advanced knowledge of programming languages within the respective divisions.</li><li>Advanced knowledge of applicable data privacy practices and laws.</li><li>Advanced analytical, conceptual, and problem-solving abilities.</li><li>Advanced level of written and oral communication skills.</li><li>Advanced level of interpersonal and consultative skills.</li><li>Ability to effectively prioritize and execute tasks in a high-pressure environment.</li><li>Ability to work in a team-oriented, collaborative environment.</li></ul><div><br><strong>MINIMUM LEVEL OF PREPARATION AND TRAINING NORMALLY REQUIRED:<br></strong><br></div><ul><li>A bachelor’s degree in the field of computer science, information systems, or computer engineering or equivalent experience.</li><li>7+ years of experience in software architecture and engineering, with at least 2 years focused on AI/ML systems.</li><li>5+ years of hands-on experience with application development tools, including Visual Studio .NET.</li><li>5+ years of hands-on experience with relational database technology, preferably MS SQL Server.</li></ul><div><br></div>

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