61 jobs found

Job DescriptionJob DescriptionDescription: SUMMARY/OBJECTIVE OF THE JOB: The AWS Migration Lead/Principal Cloud Architect leads client engagements in the design and build of scalable next-generation cloud architectures. DUTIES AND RESPONSIBILITIES: Lead the technical planning and delivery of client engagements for Migrations and Modernizations to AWS for Government and Defense Industrial Base (DIB) customers. Provide thought leadership around scalable next-generation cloud architecture experience and guidance to clients Lead cross-functional implementation teams to deliver cloud modernization solutions to clients Lead and provide technical coaching; including delivery oversight, to a growing team of cloud engineers Evaluate libraries, tools, and services for suitability Write Infrastructure as Code (IaC) in multiple frameworks to create independent, transferrable components at an appropriate level, taking into account different aspects of a stack and how to build stability and security into them. Help clients get work done smarter with automation and code Drive more complex projects and contribute to the detailed idea space effectively Learn, coach, and share knowledge and skills with other TrekFed team members Lead re-platforming and refactoring efforts for existing systems Prepare work for team members of varying levels of experience, defining stories and task type work Contribute to internal IP and open source development Participate in delivery efforts using Agile or other work methodologies Build relationships with vendors and partners Engage with clients including presentations, technical decisions, and education opportunities Learn, research, and stay up to date on best practices and evolutionary capability in the Amazon Web Services (AWS) cloud Be a technical team advocate, ensuring clear direction and efficient execution Perform code reviews, provide feedback, and pair when beneficial Keep an eye out for opportunities to support our clients in even greater ways Contribute to blog posts and attend events periodically, as asked Occasional travel may be required to meet stakeholders, kick off new projects, attend conferences, and attend company functions. Other duties as assigned Requirements: REQUIRED QUALIFICATIONS: Bachelor's degree in Information Technology, Computer Science, or a related field and 8 years of general IT experience (programming, hardware, software, etc); or 10 years of general IT experience (programming, hardware, software, etc) 3-5+ years of experience with Amazon Web Services 3+ years code-defined infrastructure experience 3+ years Continuous Integration and Deliver (CI/CD) experience 3+ years experience with Cloud Native patterns with services like AWS Lambda 3-5+ years experience architecting and building scalable, automated infrastructure Demonstrated experience working in a consultative, client-facing consulting role Have worked with Agile Project Management or other project management work methodologies. Must be a U.S. Citizen PREFERRED QUALIFICATIONS: AWS Associate and/or Professional Level Certifications 3-5+ years of programming and/or familiarity utilizing Python, Node.js, Typescript, GoLang, Java, C#, or other similar languages Expert experience in large-scale enterprise IT environments Able to demonstrate effective verbal and written communication skills Demonstrated documentation and presentation skills Previous or current experience with Federal / Government stakeholders, contractors, and solution providers Familiarity with newer ATO strategies such as Fast Track or Continuous ATO Willingness to apply for and obtain a U.S. Govt security clearance COMPETENCIES: Communication: The ability to effectively convey information, ideas, and instructions to individuals or groups, both verbally and in writing. Time Management: The ability to effectively plan and organize one's own time in order to meet deadlines, prioritize tasks, and make the most efficient use of time. Self-Management: The ability to manage one's own emotions, thoughts, and behavior in different situations. Building Work Relationships: The ability to establish and maintain positive and productive relationships with colleagues, clients, and other stakeholders. Problem Analysis: The ability to identify, understand, and analyze problems in order to find solutions. Persuasiveness: The ability to effectively present and argue one's own ideas and opinions, as well as influence others to adopt a certain viewpoint or take a specific action. Technical expertise: The ability to understand, apply, and stay current with the knowledge, concepts, and practices in a specific field or industry. Leadership: The ability to guide and inspire a team to achieve a common goal. Planning: The ability to set goals, develop action plans, and effectively allocate resources in order to achieve desired outcomes. Business development: The ability to identify and pursue new business opportunities, including the ability to generate leads, build relationships, and close deals. PHYSICAL AND MENTAL REQUIREMENTS: Continuous mental and/or visual attention required Requires the ability to remain stationary for long periods of time Regularly communicates to various people inside and outside of the organization Regular reading and analysis are required WORK AUTHORIZATION/SECURITY CLEARANCE REQUIREMENTS: Must be a US Citizen Able to obtain a Secret Security Clearance a plus

Job DescriptionJob DescriptionDescription: SUMMARY/OBJECTIVE OF THE JOB: The AWS Migration Lead/Principal Cloud Architect leads client engagements in the design and build of scalable next-generation cloud architectures. DUTIES AND RESPONSIBILITIES: Lead the technical planning and delivery of client engagements for Migrations and Modernizations to AWS for Government and Defense Industrial Base (DIB) customers. Provide thought leadership around scalable next-generation cloud architecture experience and guidance to clients Lead cross-functional implementation teams to deliver cloud modernization solutions to clients Lead and provide technical coaching; including delivery oversight, to a growing team of cloud engineers Evaluate libraries, tools, and services for suitability Write Infrastructure as Code (IaC) in multiple frameworks to create independent, transferrable components at an appropriate level, taking into account different aspects of a stack and how to build stability and security into them. Help clients get work done smarter with automation and code Drive more complex projects and contribute to the detailed idea space effectively Learn, coach, and share knowledge and skills with other TrekFed team members Lead re-platforming and refactoring efforts for existing systems Prepare work for team members of varying levels of experience, defining stories and task type work Contribute to internal IP and open source development Participate in delivery efforts using Agile or other work methodologies Build relationships with vendors and partners Engage with clients including presentations, technical decisions, and education opportunities Learn, research, and stay up to date on best practices and evolutionary capability in the Amazon Web Services (AWS) cloud Be a technical team advocate, ensuring clear direction and efficient execution Perform code reviews, provide feedback, and pair when beneficial Keep an eye out for opportunities to support our clients in even greater ways Contribute to blog posts and attend events periodically, as asked Occasional travel may be required to meet stakeholders, kick off new projects, attend conferences, and attend company functions. Other duties as assigned Requirements: REQUIRED QUALIFICATIONS: Bachelor's degree in Information Technology, Computer Science, or a related field and 8 years of general IT experience (programming, hardware, software, etc); or 10 years of general IT experience (programming, hardware, software, etc) 3-5+ years of experience with Amazon Web Services 3+ years code-defined infrastructure experience 3+ years Continuous Integration and Deliver (CI/CD) experience 3+ years experience with Cloud Native patterns with services like AWS Lambda 3-5+ years experience architecting and building scalable, automated infrastructure Demonstrated experience working in a consultative, client-facing consulting role Have worked with Agile Project Management or other project management work methodologies. Must be a U.S. Citizen PREFERRED QUALIFICATIONS: AWS Associate and/or Professional Level Certifications 3-5+ years of programming and/or familiarity utilizing Python, Node.js, Typescript, GoLang, Java, C#, or other similar languages Expert experience in large-scale enterprise IT environments Able to demonstrate effective verbal and written communication skills Demonstrated documentation and presentation skills Previous or current experience with Federal / Government stakeholders, contractors, and solution providers Familiarity with newer ATO strategies such as Fast Track or Continuous ATO Willingness to apply for and obtain a U.S. Govt security clearance COMPETENCIES: Communication: The ability to effectively convey information, ideas, and instructions to individuals or groups, both verbally and in writing. Time Management: The ability to effectively plan and organize one's own time in order to meet deadlines, prioritize tasks, and make the most efficient use of time. Self-Management: The ability to manage one's own emotions, thoughts, and behavior in different situations. Building Work Relationships: The ability to establish and maintain positive and productive relationships with colleagues, clients, and other stakeholders. Problem Analysis: The ability to identify, understand, and analyze problems in order to find solutions. Persuasiveness: The ability to effectively present and argue one's own ideas and opinions, as well as influence others to adopt a certain viewpoint or take a specific action. Technical expertise: The ability to understand, apply, and stay current with the knowledge, concepts, and practices in a specific field or industry. Leadership: The ability to guide and inspire a team to achieve a common goal. Planning: The ability to set goals, develop action plans, and effectively allocate resources in order to achieve desired outcomes. Business development: The ability to identify and pursue new business opportunities, including the ability to generate leads, build relationships, and close deals. PHYSICAL AND MENTAL REQUIREMENTS: Continuous mental and/or visual attention required Requires the ability to remain stationary for long periods of time Regularly communicates to various people inside and outside of the organization Regular reading and analysis are required WORK AUTHORIZATION/SECURITY CLEARANCE REQUIREMENTS: Must be a US Citizen Able to obtain a Secret Security Clearance a plus

Req ID: 383115 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Senior Principal Cloud Architect - AWS & Service Activation Hybrid Irving, TX or Charlotte, NC to join our team in Irving, Texas (US-TX), United States (US). Please Note: This hybrid role requires onsite client support 2-3 days weekly in either Irving, TX or Charlotte, NC. Candidates must be located within commuting distance of one of these offices. Applications from candidates outside these areas may not be considered. Position Summary We are seeking a Principal Cloud Engineer to architect design, build, and operate a secure, scalable, and highly automated multi-cloud platform leveraging Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure. As a key technical leader, you will drive the evolution of our multi-cloud engineering, enabling resilient, cloud-native services that support mission-critical enterprise workloads. This role requires deep expertise in cloud architecture, infrastructure as code (IaC), and distributed systems engineering, with a strong focus on Terraform-driven automation and principal engineering standardization. The ideal candidate brings strong Kubernetes, IAM, networking, and policy management experience, along with a disciplined approach to security, reliability, and cost optimization. Key Responsibilities: Principal Engineering, Design & Architecture Architect, engineer, and implement scalable, secure, and resilient cloud solutions across GCP and AWS, with Azure as a plus. Engineer multi-region, highly available architectures aligned with enterprise standards and best practices. Infrastructure Automation & IaC Lead engineering, adoption, and development of Terraform-based infrastructure as code, ensuring consistency, compliance, and reusability. Build and maintain modular Terraform frameworks for provisioning cloud infrastructure. Integrate IaC into CI/CD pipelines to enable fully automated provisioning and deployment workflows. Containerization & Kubernetes Platforms Direct knowledge and engineering leveraging Kubernetes platforms (EKS, GKE) and associated ecosystems. Implementation of container orchestration best practices including scaling, observability, and security. Identity, Access & Security Governance Experienced working knowledge architecting and designing robust IAM strategies across GCP and AWS including least-privilege access models. Implement policy frameworks for access control, resource governance, and regulatory compliance. Networking & Connectivity Direct knowledge and experience architecting, designing, and engineering cloud networking solutions including VPC/VNet design, routing, peering, VPNs, and private connectivity. Ensure secure, high-performance connectivity between cloud environments and on-premises systems. Policy Management & Governance Deep understanding of policy management, policy-as-code frameworks to ensure consistent governance of resources, tagging strategies, and compliance controls. Collaboration with governance, policy, and security teams to ensure cloud environments meet enterprise and regulatory standards. Modernization & Mentorship Champion cloud-native and principal engineering engineering best practices across the organization. Drive the evolution of principal engineering practice by incorporating infrastructure-as-code (IaC) principles. Mentor junior engineers and provide technical leadership for complex cloud initiatives. Serve as an escalation point for critical cloud infrastructure and principal engineering issues. Ideal experience to have for this role: Cloud Platforms & Architecture Extensive firsthand experience with AWS and GCP in large-scale enterprise environments. Strong expertise in cloud architecture, including high availability, disaster recovery, and multi-region design. Deep understanding of cloud-native services and distributed systems principles. AWSControl tower and landing Zones. Infrastructure as Code & Automation Advanced proficiency in Terraform for infrastructure provisioning and lifecycle management. Experience designing reusable modules and managing Terraform state at scale. Familiarity with CI/CD tooling and Git-based workflows. Kubernetes & Container Platforms Strong experience with Kubernetes (EKS, GKE) and container ecosystems. Knowledge of Helm, service meshes, and container security best practices. Identity & Access Management (IAM) Deep understanding of IAM concepts in AWS and GCP, including roles, policies, and federation. Experience implementing RBAC and least-privilege access models at scale. Networking & Core Infrastructure Strong knowledge of cloud networking concepts: VPCs, subnets, routing, load balancing, DNS, and hybrid connectivity. Experience designing secure network architectures across multi-cloud and hybrid environments. Policy Management & Governance Direct experience with policy enforcement frameworks and governance models in AWS and GCP. Familiarity with policy-as-code tools and compliance automation practices. Required Qualifications: 8+ years of experience in cloud infrastructure, principal engineering, and/or cloud architecture roles. Hands-on expertise with AWS and GCP in enterprise environments, including high availability, disaster recovery, and multi-region architectures. Strong experience with Terraform, Infrastructure as Code (IaC), reusable modules, and automated CI/CD deployments. Proven experience designing and supporting Kubernetes platforms (EKS, GKE) and containerized environments. Deep knowledge of IAM, RBAC, least-privilege access models, and cloud security best practices. Strong understanding of cloud networking, including VPCs, routing, load balancing, DNS, VPNs, and hybrid connectivity. Experience implementing cloud governance, policy enforcement, compliance controls, and policy-as-code frameworks. Experience with AWS Control Tower and Landing Zone architectures. Highly Preferred Qualifications: 8-10+ years of experience engineering infrastructure in multi-cloud environments. Experience with cloud-native technologies and container platforms such as Kubernetes, Red Hat OpenShift, EKS, and GKE. Experience operating in highly regulated environments with knowledge of data privacy, compliance frameworks, and disaster recovery. Experience with principal engineering engineering, Internal Developer Platforms (IDPs), and self-service cloud models. Knowledge of FinOps practices and cloud cost optimization strategies. Experience with Azure and enterprise multi-cloud architectures. Familiarity with Helm, service meshes, and container security best practices. Relevant certifications such as AWS Certified Solutions Architect, Google Professional Cloud Architect, CKA, or CKAD. NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role will depend on the location of the successful candidate. For candidates in either of these locations, the starting pay range is $150,450k - $200k. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. If the position offered in temporary, the position will not be eligible for incentive compensation. This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits. About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries . click apply for full job details

Founded in 1977 as the Senior Care Action Network, SCAN began with a simple but radical idea: that older adults deserve to stay healthy and independent. That belief was championed by a group of community activists we still honor today as the "12 Angry Seniors." Their mission continues to guide everything we do. Today, SCAN is a nonprofit health organization serving more than 500,000 people across Arizona, California, Nevada, New Mexico, Texas, and Washington, with over $8 billion in annual revenue. With nearly five decades of experience, we have built a distinctive, values-driven platform dedicated to improving care for older adults. Our work spans Medicare Advantage, fully integrated care models, primary care, care for the most medically and socially complex populations, and next-generation care delivery models. Across all of this, we are united by a shared commitment: combining compassion with discipline, innovation with stewardship, and growth with integrity. At SCAN, we believe scale should strengthen-not dilute-our mission. We are building the future of care for older adults, grounded in purpose, accountability, and respect for the people and communities we serve. The Job Design the foundation that makes intelligent systems scale for our enterprise. The AI & Cloud Architect defines and governs the architecture that powers SCAN's AI and automation capabilities, from model hosting and vector databases to API orchestration and MCP servers. This role bridges infrastructure and innovation, ensuring that every AI and cloud solution is built on secure, performant, and reusable patterns. The Architect brings a holistic view to enable experimentation while maintaining enterprise standards for reliability, governance, and compliance. You Will: Architectural Design & Strategy Define the end-to-end reference architecture for AI and data/storage systems across Azure AI Foundry, Azure AI Services, Azure AI Search, Azure Databricks/Fabric, and Snowflake. Design integration blueprints for RAG workflows, data pipelines, agentic frameworks, and our enterprise GPT solution. Establish standards for model deployment, versioning, prompt management, and telemetry within Azure AI Foundry. Infrastructure & Platform Enablement Build and maintain scalable cloud environments for model training, evaluation, and inference. Oversee vector database design (Azure AI Search or equivalent) and integration with Snowflake/Fabric data hubs. Implement high-availability, cost-optimized compute and storage strategies for AI workloads. Partner with IT Security to ensure alignment with HIPAA, Responsible AI, and internal compliance requirements. Orchestration & Automation Design pipelines and event-driven architectures using Azure Functions, Logic Apps, and API Management. Automate ingestion and evaluation processes for Document Intelligence, AI Search, and other Azure AI Services. Integrate monitoring, audit, and feedback loops to ensure operational transparency and continuous improvement. Governance & Collaboration Lead architecture reviews and guide solution teams to adhere to Responsible AI and data-management standards. Define metadata, lineage, and model registry conventions for consistent tracking and reuse. Collaborate with engineering, analytics, and business teams to align technical designs with strategic outcomes. Serve as a key contributor to the AI Architecture Review Board and cloud optimization initiatives. Innovation & Thought Leadership Evaluate emerging Azure and open-source technologies to extend SCAN's AI capabilities (e.g., Foundry SDKs, agent frameworks, vector databases, knowledge graphs). Prototype new integration patterns for multi-agent collaboration, knowledge management, and semantic data discovery. Coach engineers on architectural best practices and help shape the long-term technical roadmap. Your Qualifications: Deep Expertise in Azure Ecosystem Proficiency in Azure AI Foundry, Azure AI Services (Language, Vision, Speech, Content Understanding), Azure AI Search, Azure ML, Databricks, and Fabric. Familiarity with model registries, MLOps, and deployment frameworks (CI/CD, containers, APIs). Architectural Design & Integration Proven ability to design scalable, secure, and modular cloud architectures for AI and data workloads. Strong understanding of network design, IAM, data governance, and enterprise integration patterns. AI Engineering Foundations Knowledge of LLM architectures, retrieval-augmented generation, embedding pipelines, and evaluation frameworks. Experience enabling RAG and multi-agent applications through Azure AI Foundry and related SDKs. Data & Metadata Strategy Understanding of data modeling, knowledge graphs, and semantic search design. Ability to define data contracts, metadata taxonomies, and lineage tracking for AI solutions. Responsible AI & Compliance Mindset Demonstrated commitment to secure, auditable, and explainable AI design. Familiarity with healthcare data standards (HIPAA, CMS, PHI/PII protection) and SCAN's Responsible AI framework. Collaboration & Leadership Adept at influencing cross-functional stakeholders and translating architecture into actionable guidance. Comfortable working in a fast-evolving environment balancing experimentation with operational rigor. Strong written and verbal communication skills for technical and executive audiences. We seek Rebels who are curious about AI and its power to transform how we operate and serve our members. Actively support the achievement of SCAN's Vision and Goals. Other duties as assigned. What's in it for you? Base Pay Range: $200,000 to $260,000 annually An annual employee bonus program Robust Wellness Program Generous paid-time-off (PTO) 11 paid holidays per year, 1 floating holiday, birthday off, and 2 volunteer days Excellent 401(k) Retirement Saving Plan with employer match Robust employee recognition program Tuition reimbursement An opportunity to become part of a team that makes a difference to our members and our community every day! We're always looking for talented people to join our team! Qualified applicants are encouraged to apply now! At SCAN we believe that it is our business to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects our community through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. SCAN is proud to be an Equal Employment Opportunity and Affirmative Action workplace. Individuals seeking employment will receive consideration for employment without regard to race, color, national origin, religion, age, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender perception or identity, age, marital status, disability, protected veteran status or any other status protected by law. A background check is required. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)

About Crunchyroll Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community. We super-serve over 100 million anime and manga fans across 200+ countries and territories, and help them connect with the stories and characters they crave. Whether that experience is online or in-person, streaming video, theatrical, games, merchandise, events and more, it's powered by the anime content we all love. Join our team, and help us shape the future of anime! About the role Crunchyroll is growing and evolving, creating both new opportunities and new challenges as it protects millions of anime fans worldwide while still shipping quickly and with high quality. We are looking for a security leader who wants to shape how engineering builds and operates securely at scale. In this Principal-level, hands-on Director role reporting to the VP of Information Security, you will connect strategy to execution by turning security goals into secure-by-default, compliant systems and practices that teams actually use. You will partner closely with engineering leaders and senior ICs to reduce friction, align on priorities, and drive consistent follow-through, protecting our fans and our platform without sacrificing delivery velocity. Success will be through influence and enablement, and you will also periodically build practical solutions, such as reference implementations and tooling integrations, that make it easier for teams to adopt the right security patterns. Core Areas of Responsibility In this role, you will be a force multiplier for engineering, setting the direction, building key parts, and ensuring follow-through so security becomes a durable part of how Crunchyroll ships. You will own the engineering-facing mechanisms that make security real in day-to-day delivery: Security execution at scale: Drive adoption of security controls across engineering by driving adoption of clear engineering playbooks, paved paths, and secure-by-default platform capabilities that can be consistently adopted across services, regardless of engineering domain. Engineering teams remain accountable for design, implementation, operation, and remediation of their services. This role provides security strategy, guidance, tooling, visibility, coordination, and escalation mechanisms that enable teams to meet those obligations consistently at scale Vulnerability closure and systemic risk reduction: Facilitate the operating rhythm across engineering for vulnerability intake, triage, tracking of vulnerability ownership, SLAs, remediation planning, verification, and escalation. Establish systems and processes that ensure timely fixes and eliminate repeat issues through improvements. Tooling integration and evidence readiness: Coordinate with engineering teams to integrate enterprise security tooling into CI/CD and production environments, and ensure engineering can reliably produce evidence of compliance in a low-friction, automated way. Design-time security embedded in engineering workflows: Ensure threat modeling and security architecture considerations are built into how engineering designs and ships using approved patterns and reference architectures as the default starting point. Pragmatic requirements shaping: When requirements are infeasible or disproportionately costly, you'll drive early escalation and propose alternatives (sequencing, compensating controls, platform changes) so we maintain momentum without accepting unmanaged risk. Cross-team alignment and escalation: Identify cross-domain architectural risks and drive alignment / decision-making through established engineering leadership and architecture governance processes, bringing the right stakeholders together and escalating when tradeoffs require executive judgment. Incident readiness and closure: Improve security incident preparedness in engineering (runbooks, exercises, detection hooks) and ensure post-incident actions translate into durable engineering improvements. Partner with Global Security for execution: Serve as the primary engineering counterpart to Global Security, translating enterprise policies, controls, tooling, and compliance requirements into recommendations or actionable insights that are adoptable engineering practices, and feeding back where standards need better patterns, automation, or sequencing to scale. What success looks like Success in this role is not about managing security reviews, success is measurable engineering outcomes: Drive enterprise-wide adoption of Security and Privacy by Design, ensuring security, privacy, and compliance requirements are proactively integrated into products, services, and technology platforms Security controls are implemented broadly with minimal friction because the secure path is well defined Vulnerabilities have clear owners, predictable remediation, and decreased recurring issues Success in this role is about partnering with Engineering teams on security initiatives and enabling them to be effective with an understanding that Engineering teams have clear ownership of platforms and will be accountable for them About You We get excited about candidates like you, because You have 12+ years of progressive experience in information security, application security, cloud security, or software engineering, including significant experience leading enterprise-scale security initiatives through technical influence rather than direct authority. You exhibit Principal-level technical leadership with a proven track record of leading cross-team security initiatives through influence, clarity, and shipping real systems-not just policies. You possess strong application security fundamentals such as: authn/authz, session security, secure API design, data protection, threat modeling, and secure SDLC practices. You have pragmatic risk management, with the ability to prioritize, quantify tradeoffs, and create guardrails that teams actually adopt. You have cloud & platform security experience such as: IAM concepts, secrets management, key management, service-to-service auth patterns, and logging/detection fundamentals. You possess a DevSecOps and automation mindset and have experience integrating security checks into CI/CD with minimal developer friction. You exhibit depth in vulnerability management, knowing how to triage, develop remediation strategies, verify fixes, all while partnering with teams to close the loop quickly. You possess excellent communication skills that include concise, executive-ready writing and strong technical coaching abilities for engineers. You meet people where they are and endeavor to build intrinsic motivation to develop solutions to problems through shared understanding. Preferred, but not required: Experience with streaming/media security and DRM ecosystems and output protection concepts. Experience with mobile and device ecosystems (iOS/Android/TV devices), including secure storage patterns and platform attestation. Familiarity with reverse engineering tools and client hardening/anti-tamper approaches. Exposure to privacy/security compliance partnerships (GRC) and working with legal/product on policy requirements. About the Team Crunchyroll's Security team is focused on partnering with teams across the organization to provide secure solutions and protect company assets as we serve the Anime community. We provide Security, GRC (Governance, Risk, and Compliance), Data Privacy, and Network Infrastructure services to the enterprise. Everyday we have an opportunity to make a positive impact while being at the center of innovative initiatives. If you are looking to join a team where you will make a difference, we would love to hear from you. Why you will love working at Crunchyroll In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks: Receive a great compensation package including salary plus performance bonus earning potential, paid annually. Flexible time off policies allowing you to take the time you need to be your whole self. Generous medical, dental, vision, STD, LTD, and life insurance Health Saving Account HSA program Health care and dependent care FSA 401(k) plan, with employer match Employer paid commuter benefit Support program for new parents Pet insurance and some of our offices are pet friendly! The Pay Range for this position is listed. Actual pay will vary based on factors including, but not limited to location, experience, and performance. The range listed is just one component of Crunchyroll's Total Rewards offerings for employees. Other rewards may include performance bonuses, employer matched retirement savings, time-off programs, and progressive health benefits and perks. Pay Transparency - Los Angeles, CA $249,000-$305,000 USD About our Values We want to be everything for someone rather than something for everyone and we do this by living and modeling our values in all that we do. We value Courage. We believe that when we overcome fear, we enable our best selves. Curiosity. We are curious, which is the gateway to empathy, inclusion, and understanding. Kaizen. We have a growth mindset committed to constant forward progress. Service . click apply for full job details

Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .

Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .

Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .

Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .

Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .

Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .

Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .

Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .

Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .

Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About Okta for AI Agents Okta secures access for 20,000 organizations and billions of users. Okta for AI Agents extends that work to the agentic shift. Deploying an AI agent is not like deploying traditional software. You are putting professional work output into production, and it needs deep integration, continuous tuning, and change management. Every agent needs an identity, a scope, an audit trail, and a way to be shut down when it goes wrong. Most enterprises have not built this yet. We are. We hire builders who see the cracks in enterprise agent identity that everyone else has learned to live with. The Role You embed inside four to five of Okta's most strategic enterprise customers as their dedicated technical partner for agent identity. You sit alongside their identity, platform, and security engineering teams, write production code in their environment, and own the technical outcome from prototype through production. You are a builder-consultant. You go past architecture diagrams to code, debug, and ship bespoke agent identity solutions inside the customer's environment. You ship secure agents faster for the customer, and you feed real field insight back to Okta product engineering. Responsibilities Become the customer's trusted technical voice on agent security. Sit in their standups, design reviews, and incident response. Earn a seat on their architecture review board and security council for agent risk decisions. Architect and deploy with the customer's team. Build Okta's agent security stack into their infrastructure: Cross-App Access (XAA), Fine-Grained Authorization (FGA), MCP Gateway, and agent client registration. Own the identity, delegation, audit, and kill-switch architecture end to end, and coach their engineers on the patterns. Engage senior leadership. Brief the CISO, CIO, identity leaders, Chief AI Officer, and principal architects. Translate token-exchange flows into board-level agent risk, and AI governance mandates into architecture. Deliver white-glove deployment. Agents in production with full identity coverage, security review passed, governance requirements met, and posture visibility online. The customer points to you as the reason their agent program is real. Keep deployments defensible. Align architecture decisions to OWASP Top 10 for Agentic Applications, NIST AI RMF, and MITRE ATLAS, and to HIPAA, FedRAMP, or SOC 2 where the customer is regulated. Wire Okta into the customer's stack. Connect O4AA to their IdP for human-to-agent links, IGA for agent lifecycle, ISPM for posture, SIEM and EDR for behavior coverage, and policy engines for runtime decisions. Build evals and observability. Authorization decision latency, scope sprawl across agents, anomalous delegation chains, audit completeness, kill-switch verification, and rogue agent detection. Turn field patterns into product. Extract the recurring gaps from their architects and governance leads, and convert them into reusable modules and roadmap fixes that ship for every other customer. Be on site. Regular presence at customer locations. Trust and governance alignment happen in the room. Requirements Engineering pedigree. 7+ years shipping production software, still hands-on in the IDE, with on-call experience and operational maturity in systems that authenticate and authorize at high throughput. Ability to travel, 35% (on occasion internationally) Identity protocols. OAuth 2.0, OIDC, SAML, SCIM, RFC 8693 token exchange, act claims, CIMD and DCR, DPoP. Agent security frameworks. Working knowledge of OWASP Top 10 for Agentic Applications, NIST AI RMF, and MITRE ATLAS. Familiarity with MCP, A2A, ISO/IEC 42001, and the EU AI Act. Comfortable mapping deployments to HIPAA, FedRAMP, and SOC 2. Fine-grained authorization. ReBAC and ABAC with policy engines (OPA, Cedar, OpenFGA, or equivalent), and a working understanding of how agents acquire tokens, call APIs, and delegate. AI hands-on. Built production integrations with Claude, ChatGPT, Microsoft Copilot, Agentforce, Bedrock, LangChain, CrewAI, the OpenAI Agents SDK, or MCP servers. AI-native development. Daily use of Claude Code, Cursor, GitHub Copilot, or equivalent. Customer-facing range. At home in a customer standup and a CISO briefing on the same day. You build trust with senior engineering leaders and you stay in the room when their internal politics get sharp. High agency, founder's mindset. A zero-to-one self-starter who owns outcomes end to end. P25257_ Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between: $200,000-$275,000 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About Okta for AI Agents Okta secures access for 20,000 organizations and billions of users. Okta for AI Agents extends that work to the agentic shift. Deploying an AI agent is not like deploying traditional software. You are putting professional work output into production, and it needs deep integration, continuous tuning, and change management. Every agent needs an identity, a scope, an audit trail, and a way to be shut down when it goes wrong. Most enterprises have not built this yet. We are. We hire builders who see the cracks in enterprise agent identity that everyone else has learned to live with. The Role You embed inside four to five of Okta's most strategic enterprise customers as their dedicated technical partner for agent identity. You sit alongside their identity, platform, and security engineering teams, write production code in their environment, and own the technical outcome from prototype through production. You are a builder-consultant. You go past architecture diagrams to code, debug, and ship bespoke agent identity solutions inside the customer's environment. You ship secure agents faster for the customer, and you feed real field insight back to Okta product engineering. Responsibilities Become the customer's trusted technical voice on agent security. Sit in their standups, design reviews, and incident response. Earn a seat on their architecture review board and security council for agent risk decisions. Architect and deploy with the customer's team. Build Okta's agent security stack into their infrastructure: Cross-App Access (XAA), Fine-Grained Authorization (FGA), MCP Gateway, and agent client registration. Own the identity, delegation, audit, and kill-switch architecture end to end, and coach their engineers on the patterns. Engage senior leadership. Brief the CISO, CIO, identity leaders, Chief AI Officer, and principal architects. Translate token-exchange flows into board-level agent risk, and AI governance mandates into architecture. Deliver white-glove deployment. Agents in production with full identity coverage, security review passed, governance requirements met, and posture visibility online. The customer points to you as the reason their agent program is real. Keep deployments defensible. Align architecture decisions to OWASP Top 10 for Agentic Applications, NIST AI RMF, and MITRE ATLAS, and to HIPAA, FedRAMP, or SOC 2 where the customer is regulated. Wire Okta into the customer's stack. Connect O4AA to their IdP for human-to-agent links, IGA for agent lifecycle, ISPM for posture, SIEM and EDR for behavior coverage, and policy engines for runtime decisions. Build evals and observability. Authorization decision latency, scope sprawl across agents, anomalous delegation chains, audit completeness, kill-switch verification, and rogue agent detection. Turn field patterns into product. Extract the recurring gaps from their architects and governance leads, and convert them into reusable modules and roadmap fixes that ship for every other customer. Be on site. Regular presence at customer locations. Trust and governance alignment happen in the room. Requirements Engineering pedigree. 7+ years shipping production software, still hands-on in the IDE, with on-call experience and operational maturity in systems that authenticate and authorize at high throughput. Ability to travel, 35% (on occasion internationally) Identity protocols. OAuth 2.0, OIDC, SAML, SCIM, RFC 8693 token exchange, act claims, CIMD and DCR, DPoP. Agent security frameworks. Working knowledge of OWASP Top 10 for Agentic Applications, NIST AI RMF, and MITRE ATLAS. Familiarity with MCP, A2A, ISO/IEC 42001, and the EU AI Act. Comfortable mapping deployments to HIPAA, FedRAMP, and SOC 2. Fine-grained authorization. ReBAC and ABAC with policy engines (OPA, Cedar, OpenFGA, or equivalent), and a working understanding of how agents acquire tokens, call APIs, and delegate. AI hands-on. Built production integrations with Claude, ChatGPT, Microsoft Copilot, Agentforce, Bedrock, LangChain, CrewAI, the OpenAI Agents SDK, or MCP servers. AI-native development. Daily use of Claude Code, Cursor, GitHub Copilot, or equivalent. Customer-facing range. At home in a customer standup and a CISO briefing on the same day. You build trust with senior engineering leaders and you stay in the room when their internal politics get sharp. High agency, founder's mindset. A zero-to-one self-starter who owns outcomes end to end. P25257_ Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between: $200,000-$275,000 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About Okta for AI Agents Okta secures access for 20,000 organizations and billions of users. Okta for AI Agents extends that work to the agentic shift. Deploying an AI agent is not like deploying traditional software. You are putting professional work output into production, and it needs deep integration, continuous tuning, and change management. Every agent needs an identity, a scope, an audit trail, and a way to be shut down when it goes wrong. Most enterprises have not built this yet. We are. We hire builders who see the cracks in enterprise agent identity that everyone else has learned to live with. The Role You embed inside four to five of Okta's most strategic enterprise customers as their dedicated technical partner for agent identity. You sit alongside their identity, platform, and security engineering teams, write production code in their environment, and own the technical outcome from prototype through production. You are a builder-consultant. You go past architecture diagrams to code, debug, and ship bespoke agent identity solutions inside the customer's environment. You ship secure agents faster for the customer, and you feed real field insight back to Okta product engineering. Responsibilities Become the customer's trusted technical voice on agent security. Sit in their standups, design reviews, and incident response. Earn a seat on their architecture review board and security council for agent risk decisions. Architect and deploy with the customer's team. Build Okta's agent security stack into their infrastructure: Cross-App Access (XAA), Fine-Grained Authorization (FGA), MCP Gateway, and agent client registration. Own the identity, delegation, audit, and kill-switch architecture end to end, and coach their engineers on the patterns. Engage senior leadership. Brief the CISO, CIO, identity leaders, Chief AI Officer, and principal architects. Translate token-exchange flows into board-level agent risk, and AI governance mandates into architecture. Deliver white-glove deployment. Agents in production with full identity coverage, security review passed, governance requirements met, and posture visibility online. The customer points to you as the reason their agent program is real. Keep deployments defensible. Align architecture decisions to OWASP Top 10 for Agentic Applications, NIST AI RMF, and MITRE ATLAS, and to HIPAA, FedRAMP, or SOC 2 where the customer is regulated. Wire Okta into the customer's stack. Connect O4AA to their IdP for human-to-agent links, IGA for agent lifecycle, ISPM for posture, SIEM and EDR for behavior coverage, and policy engines for runtime decisions. Build evals and observability. Authorization decision latency, scope sprawl across agents, anomalous delegation chains, audit completeness, kill-switch verification, and rogue agent detection. Turn field patterns into product. Extract the recurring gaps from their architects and governance leads, and convert them into reusable modules and roadmap fixes that ship for every other customer. Be on site. Regular presence at customer locations. Trust and governance alignment happen in the room. Requirements Engineering pedigree. 7+ years shipping production software, still hands-on in the IDE, with on-call experience and operational maturity in systems that authenticate and authorize at high throughput. Ability to travel, 35% (on occasion internationally) Identity protocols. OAuth 2.0, OIDC, SAML, SCIM, RFC 8693 token exchange, act claims, CIMD and DCR, DPoP. Agent security frameworks. Working knowledge of OWASP Top 10 for Agentic Applications, NIST AI RMF, and MITRE ATLAS. Familiarity with MCP, A2A, ISO/IEC 42001, and the EU AI Act. Comfortable mapping deployments to HIPAA, FedRAMP, and SOC 2. Fine-grained authorization. ReBAC and ABAC with policy engines (OPA, Cedar, OpenFGA, or equivalent), and a working understanding of how agents acquire tokens, call APIs, and delegate. AI hands-on. Built production integrations with Claude, ChatGPT, Microsoft Copilot, Agentforce, Bedrock, LangChain, CrewAI, the OpenAI Agents SDK, or MCP servers. AI-native development. Daily use of Claude Code, Cursor, GitHub Copilot, or equivalent. Customer-facing range. At home in a customer standup and a CISO briefing on the same day. You build trust with senior engineering leaders and you stay in the room when their internal politics get sharp. High agency, founder's mindset. A zero-to-one self-starter who owns outcomes end to end. P25257_ Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between: $200,000-$275,000 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About Okta for AI Agents Okta secures access for 20,000 organizations and billions of users. Okta for AI Agents extends that work to the agentic shift. Deploying an AI agent is not like deploying traditional software. You are putting professional work output into production, and it needs deep integration, continuous tuning, and change management. Every agent needs an identity, a scope, an audit trail, and a way to be shut down when it goes wrong. Most enterprises have not built this yet. We are. We hire builders who see the cracks in enterprise agent identity that everyone else has learned to live with. The Role You are the most senior technical field authority for agent identity at Okta. Where a Senior FDE owns the outcome inside one account, you own the patterns that every account and every FDE inherits. You take the hardest and most strategic deployments yourself, set the reference architecture the team builds from, and turn what the field learns into the direction the product takes. You still write code. You also multiply the people around you, and you are the person product and engineering leadership call when an agent identity problem has no precedent. Responsibilities Own the reference architecture. Define the canonical agent identity, delegation, audit, and kill-switch patterns that Senior FDEs deploy across the portfolio, and keep them current as the standards and the product move. Lead the hardest accounts. Personally own the most strategic, regulated, or technically novel deployments, the ones where there is no playbook yet. Raise the technical bar. Review other FDEs' architectures, coach senior customer engineers and your own team, and set the standard for what good looks like in the field. Shape the roadmap. Synthesize patterns across every account into a clear point of view, and work directly with product and engineering leadership to prioritize what ships next. Represent Okta as a technical authority. Brief CISO, CIO, and Chief AI Officer audiences, contribute to the standards and frameworks shaping agent identity, and carry the external technical voice. Resolve what others cannot. Step into the hardest technical and political situations across accounts and find the path forward. Set the standard for evals and observability. Define how the team measures authorization latency, scope sprawl, delegation anomalies, audit completeness, and kill-switch verification, so it scales beyond any single customer. Build the team's leverage. Turn recurring field work into reusable modules, internal tooling, and enablement so the whole FDE function moves faster. Requirements Engineering depth. 10+ years shipping production software, with deep distributed systems and identity experience and a track record of staying hands-on while setting direction. Authority-level identity protocols. OAuth 2.0, OIDC, SAML, SCIM, RFC 8693 token exchange, act claims, CIMD and DCR, DPoP. Contribution to standards or open source is a plus. Deep agent security fluency. OWASP Top 10 for Agentic Applications, NIST AI RMF, MITRE ATLAS, plus MCP, A2A, ISO/IEC 42001, and the EU AI Act, with the judgment to apply them in HIPAA, FedRAMP, and SOC 2 environments. Expert fine-grained authorization. ReBAC and ABAC with policy engines (OPA, Cedar, OpenFGA, or equivalent), and command of the design tradeoffs at scale. Proven AI hands-on. Production integrations across the major agent platforms and MCP, and daily AI-native development. Force multiplier. A record of setting technical direction across multiple teams or accounts, and of mentoring senior engineers. Customer-facing authority. Credible from the IDE to the boardroom, trusted by CISOs and principal engineers alike, and steady when account politics get sharp. High agency, founder's mindset. Applied to building a function, not just an account. Ability to travel ( on occasion internationally) up to 35% (P25253_) The OTE range for this position for candidates located in the San Francisco Bay area is between: $269,000-$369,000 USD Below is the annual On Target Compensation (OTE) range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual OTE, which is inclusive of base salary and incentive compensation, will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable) and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual OTE range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between: $240,000-$360,000 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.