Sr Software Engineer, AI Security Platform Information Security; Remote Canada | Remote United States The Role We are looking for a Senior Software Engineer specializing in AI and Security to help design and build the next generation of intelligent security systems. In this role, you will develop platforms and capabilities that use machine learning, behavioral analytics, and automation to detect threats, reduce risk, and strengthen the security posture of the organization. You will work at the intersection of security engineering, machine learning, and large-scale systems, helping transform security data into actionable insights and automated defenses. The ideal candidate enjoys solving complex problems, working with large datasets, and building production-grade systems that protect critical infrastructure. This role partners closely with security engineering, data science, product engineering, and cloud platform teams to deliver AI-driven capabilities that improve detection, investigation, and response across the enterprise. This role is expected to actively leverage AI-assisted development as a core part of how software is designed, built, and delivered. What You’ll Do Build AI-Powered Security Systems - Use tools such as GitHub Copilot and AI coding assistants to accelerate the development of secure applications and internal platforms. - Develop practical prompts, workflows, and guardrails that enable engineers with security expertise to use AI as an active development partner in building functional, secure software. - Apply AI-assisted development to accelerate coding, testing, documentation, refactoring, and threat-aware design reviews. Deliver Applications to Production - Take applications from concept to production by applying strong engineering principles across architecture, deployment, observability, and reliability. - Build and operate CI/CD pipelines, containerized deployments, infrastructure as code, and secure release processes. - Ensure systems are production-ready through monitoring, testing, operational readiness, and security-by-design practices. - Apply clear engineering and security principles, including least privilege, defense in depth, and scalable system design. Build Security Data Pipelines - Design and implement data ingestion pipelines that collect and normalize security telemetry from multiple sources. - Work with distributed data platforms and large-scale datasets to support analytics, detection, and AI-driven models. - Ensure secure and compliant handling of sensitive data throughout the pipeline lifecycle. Improve Detection & Response - Integrate AI-driven insights into security platforms such as SIEM, identity systems, and cloud security tools. - Build automation that assists analysts with alert triage, investigation, and remediation. - Help evolve security operations from reactive monitoring to proactive, intelligence-driven defense. Collaborate Across Engineering and Security - Partner with security teams, engineers, and data scientists to identify high-impact detection and automation opportunities. - Enable teams to embed security intelligence directly into products and infrastructure. - Contribute to architectural decisions that improve security posture at scale. Research Emerging AI & Security Techniques - Stay current on emerging threat techniques, adversarial AI, and machine learning applications in security. - Prototype and evaluate new detection approaches, models, and methodologies. - Contribute to innovation in AI-assisted security engineering and defense. What You’ll Bring Education and Experience - 7+ years of experience in software engineering or security engineering - Experience building production systems using machine learning or large-scale analytics - Background working with security telemetry, threat detection, or behavioral analytics is strongly preferred Software Engineering - Experience using AI-assisted development tools (GitHub Copilot, Claude, or similar AI-assisted development tools) in real-world software delivery - Strong programming skills in Python, Go, Java, Rust, or similar - Experience designing distributed systems and microservices - Experience building high-scale data processing systems Security Engineering - Familiarity with modern attack techniques and security detection methods - Experience with security platforms such as SIEM, EDR, cloud security platforms, or identity systems Cloud & Infrastructure - Experience building systems in AWS, Azure, or GCP - Familiarity with containers, Kubernetes, and CI/CD pipelines Data Engineering - Experience working with large-scale datasets and distributed data processing - Familiarity with streaming or batch processing technologies Certifications Preferred - CISSP, OSCP, Security+, or other security certifications - Cloud certifications (AWS, Azure, GCP) - Machine learning coursework or certifications Nice To Have - Machine learning - Knowledge of identity security, behavioral analytics, or threat intelligence - Experience with security automation or SOAR workflows - Contributions to open-source security or machine learning projects

• Consistently achieve or exceed sales quotas • Garner referrals from your network and existing customers • Generate and cultivate leads beyond provided systems • Manage customers throughout the sales cycle • Maintain up-to-date and accurate CRM usage • Conduct extensive outreach to build a sustainable pipeline • Cross-sell and upsell customers with suitable recommendations • Communicate regularly with customers and internal teams

Req ID: 365820 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 Digital Arch. Presales Senior Manager to join our team in Plano, Texas (US-TX), United States (US). Job Title: ServiceNow Pre-Sales Solution Consultant Location: Remote (with occasional travel as needed) Role Overview: NTT DATA is seeking a dynamic and experienced ServiceNow Pre-Sales Solution Consultant who combines deep technical solutioning expertise with strategic pre-sales capabilities. This role will lead complex, cross platform, multiple industries pre-sales and competitive offerings lifecycle management partnering closely with practice sales/GTM, marketing, delivery, alliances to accelerating customer, partner outcomes and practice growth. Key Responsibilities: Pre‑Sales Leadership & Deal Strategy - Support opportunity qualification and Lead discovery, and solution strategy for complex multi‑industry pursuits; establish win themes and differentiation by vertical and the depth of the solution. - Create a end to value map and orchestrate solution pursuit (Product experts, Tech architects, GTM, delivery leaders) ensuring compelling proposals and differentiators. - Own the technical/ solution design narrative across discovery, PoVs/PoCs, solution reviews, and solution defense. AI & Cross‑Platform Solution Design - Design end‑to‑end solution architecture leveraging ServiceNow AI and Workflows solutions across Generative AI Controller, AI Search, Process Optimization, and predictive intelligence to deliver measurable outcomes. - Define an integrated/secure platform solution strategy across cloud, identity, observability, cybersecurity, enterprise apps. - Balance configuration vs. customization, performance, security, and data governance; articulate tradeoffs and roadmap implications. - Estimate effort, define scope, and align deliverables with client expectations and budget constraints. - Support pricing strategies and resource planning for the phases of the engagement. Value Engineering - Lead value discovery tailored to each industry; translate pain points into value hypotheses and defendable TCO/ROI tied to client KPIs. - Prototype user‑centric experiences across ITSM, CSM, HRSD, SPM, IRM/GRC, SecOps, ITOM/CMDB, App Engine—and industry workflows (FSI, Healthcare/Life Sciences, Public Sector, Manufacturing/Energy, Retail/Consumer, Telecom/Tech). - Create outcome‑based roadmaps and optimize solution scope to align with budget, entitlements, and roadmap; collaborate with sales/GTM - Create/evolve ServiceNow offerings (solution packages, accelerators, reference architectures) with clear value propositions, pricing/packaging, qualification criteria, and delivery approach. - Build sales and pre‑sales enablement assets (demo scripts, discovery guides, scoping templates, value calculators, one‑pagers, customer stories). Qualifications: - 6-8 years of pre‑sales consulting experience for global enterprises within the ServiceNow ecosystem (or adjacent workflow platforms). - Proven expertise in complex, cross‑industry deals: discovery through close, executive storytelling, solution governance. - Deep hands‑on understanding of ServiceNow AI capabilities (Now Assist, Generative AI Controller, AI Search), cross platform architecture, product knowledge and how to apply them to real business outcomes. - Excellence in value‑based solutioning, value journey creation (TCO/ROI), and outcome‑centric road mapping. - Experience creating offerings (pricing/packaging, enablement assets) and running integrated campaigns with GTM, marketing and partners. - Proven ServiceNow partner/SI ecosystem experience (co‑sell, co‑market, and delivery alignment with ServiceNow) - Exceptional communication, problem solving, and design thinking skills; comfortable leading C‑suite conversations and technical deep dives. - Bachelor’s degree in computer science, Engineering, Information Systems, or equivalent experience - Certification: Pre-sales accreditation, CTA, CSA, CIS (e.g., ITSM, CSM, HRSD, ITOM, IRM), Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is4110,000 TO $170,000. This range reflects the minimum and maximum target compensation for the position across all US locations. 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. #LI-NAM #NASALES 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. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us. NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

• Develop and maintain security operational plans, SOPs, and compliance documentation. • Ensure adherence to 32 CFR Part 117 NISPOM and contract-specific requirements. • Conduct audits, self-inspections, and support DCSA reviews. • Investigate security incidents and recommend corrective actions. • Serve as the primary liaison with DCSA for all FCL-related actions. • Conduct annual self-inspections, facility audits, and support DCSA Security Vulnerability Assessments. • Initiate, manage, and track personnel security clearance investigations from submission through adjudication. • Maintain all personnel security files, briefing records, and reinvestigation timelines. • Conduct initial security briefings, annual refresher training, pre/post foreign travel briefings. • Identify clearance requirements on all new contracts and task orders. • Coordinate with HR and Program Managers to ensure all staff, subcontractors, and consultants hold appropriate clearances before access is granted. • Administer the Insider Threat Program (as ITPSO) and report incidents to appropriate government channels. • Coordinate visit requests and enforce need-to-know principles. • Deliver security training and awareness programs.