Req ID: 353883 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 Solution Architect Lead Advisor to join our team in Toronto, Ontario (CA-ON), Canada (CA). The AI Architect will design and build agentic AI systems for multiple Domains such as Healthcare/ Finance/ Retail etc. You will combine GenAI, ML, and systems engineering to create AI agents that interact with machines, data streams, and enterprise systems. Key Responsibilities - Design and implement agent-based AI workflows for different domains such as : - healthcare use cases (clinical assistants, triage agents, care pathway optimization, RCM automation) - Design agentic AI architectures for manufacturing workflows - Build multi-agent financial AI systems (analysis agents, compliance agents, advisory agents) - Implement RAG over financial documents, policies, contracts, and filings - Build LLM-powered systems (RAG, tool-calling agents, multi-agent orchestration) - Develop classical ML models (risk scoring, prediction, clustering, anomaly detection) - Implement HIPAA aware AI architectures with auditability and traceability - Implement GenAI systems using RAG over CRM, customer data, and content - Build full-stack applications (Python APIs, AI services, UI dashboards) - Integrate with EHRs, data lakes, and healthcare systems (FHIR/HL7 exposure preferred) - Integrate LLMs with sensor data, MES, ERP, and IoT platforms - Collaborate with SMEs to translate medical workflows into agent logic - Deploy, monitor, and optimize AI systems in Azure Basic Qualifications: - 8+ years’ experience using Python-based AI systems - 8+ years hands-on experience with GenAI (LLMs, RAG, embeddings, prompt engineering) - Experience with traditional ML (classification, regression, NLP, time-series) - Full-stack experience (API design + UI integration) - 5+ Years - Azure cloud experience (Azure ML, Azure OpenAI, Functions, AKS) - 5+ Years - Experience working in regulated or compliance-heavy domains - Comfortable working with subject-matter experts - Strong learning mindset and adaptability - Experience building production AI systems, not just prototypes - Ability to explain AI decisions to non-technical stakeholders - Interest in agentic AI and next-generation AI architectures - Degree: Bachelors in Computer Science or equivalent work experience Additional Desired Qualifications (Not required) - Multiple Domain exposure - AWS, GCP, or NVIDIA AI stack experience - Knowledge of model governance and explainability - Experience with document intelligence pipelines 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. Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $122,648 - 283,906. 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. This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, 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.

Requisition Number: 104185 Job Description – Presales Infra Architect Insight at a Glance - 14,000+ engaged teammates globally - #20 on Fortune’s World's Best Workplaces™ list - $9.2 billion in revenue - Received 35+ industry and partner awards in the past year - $1.4M+ total charitable contributions in 2023 by Insight globally Now is the time to bring your expertise to Insight. We are not just a tech company; we are a people-first company. We believe that by unlocking the power of people and technology, we can accelerate transformation and achieve extraordinary results. As a Fortune 500 Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organizations through complex digital decisions. Role Summary The Presales Architect – Cloud & Infrastructure is responsible for designing, validating, and positioning infrastructure solutions across Microsoft Azure, Amazon Web Services (AWS), Hyper-Converged Infrastructure (HCI), and traditional on-premises data centers. The role supports the full presales lifecycle, working closely with sales, delivery, and partner teams to translate customer requirements into scalable, secure, and cost-effective architectures, proposals, and statements of work. Key Responsibilities • Engage with sales teams and customers to understand business drivers and infrastructure requirements. • Lead technical discovery workshops, infrastructure assessments, and solution design sessions. • Design end-to-end architectures for Azure, AWS, hybrid, HCI, and on-prem environments. • Define migration, modernization, and transformation strategies. • Develop solution documentation including architectures, SOWs, BOMs, and RFP/RFI responses. • Present technical solutions to IT managers, infrastructure heads, and enterprise architects. • Ensure alignment between presales commitments and delivery execution. Technology Coverage • Microsoft Azure – IaaS, PaaS, networking, identity, governance, landing zones. • Amazon Web Services (AWS) – core compute, storage, networking, foundations, migration. • Hybrid & On-Prem Infrastructure – data centers, virtualization, storage, networking. • HCI Platforms – VMware, Nutanix, Azure Local / Stack HCI. • Backup, Disaster Recovery, and High Availability solutions. Automation & Governance • Infrastructure as Code using Terraform, ARM, and Bicep. • CI/CD pipelines for infrastructure deployments. • Cost optimization, monitoring, and operational governance. • Alignment with ITIL and managed services frameworks. Required Experience • 8–12+ years of experience in infrastructure, cloud, or data center roles. • 4–6+ years in presales, consulting, or solution architecture roles. • Experience working with enterprise and regulated customers. • Experience in system integrator or managed services environments. Technical Skills • Strong design-level or hands-on expertise in Azure and AWS infrastructure services. • Deep understanding of hybrid cloud and on-prem infrastructure. • Solid knowledge of networking, identity, security, and monitoring. • Ability to translate business requirements into technical solutions. Certifications (Preferred) • Microsoft Certified: Azure Solutions Architect Expert. • AWS Certified Solutions Architect (Associate or Professional). • VMware, Nutanix, or HCI certifications. • ITIL Foundation. Soft Skills • Strong communication and presentation skills. • Ability to explain complex security concepts to non-technical audiences. • Commercial awareness and proposal-writing capability. Success Metrics • Contribution to deal win-rate for security opportunities. • Quality and reusability of architectures and SOWs. • Customer satisfaction and delivery alignment. What you can expect We’re legendary to take care of you, your family and to help you engage with your local community. We want you to enjoy a full, meaningful life and own your career at Insight. Some of our benefits include: - Freedom to work from another location, even an international destination—for up to 30 consecutive calendar days per year. But what really sets us apart are our core values of Hunger, Heart, and Harmony, which guide everything we do, from building relationships with teammates, partners, and clients to making a positive impact in our communities. Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law. Insight India Location:Level 16, Tower B, Building No 14, Dlf Cyber City In It/Ites Sez, Sector 24 &25 A Gurugram Gurgaon Hr 122002 India

• Evaluation and evolution of cloud architecture and analytical infrastructure • Focus on integration between on-premises and cloud environments • Analysis of connectivity and performance • Definition of computing strategies • Support in the implementation of access controls (RBAC) • Contribution to defining the recommended architecture

• Build, implement, and optimize GPU communication kernels that underpin collective and point-to-point operations in large-scale AI systems. • Leverage deep knowledge of GPU architecture—thread scheduling, memory hierarchy, execution pipelines—to improve kernel efficiency, minimize latency, and overlap computation with communication. • Develop GPU-resident communication primitives and device-side APIs that enable fine-grained, kernel-initiated data movement across nodes and accelerators. • Profile and tune GPU kernels end-to-end, identifying bottlenecks at the intersection of compute, memory, and network, and driving targeted optimizations. • Collaborate with network software, hardware, and AI framework teams to co-design communication strategies that align with GPU execution patterns and emerging model architectures. • Build proofs-of-concept, conduct experiments, and perform quantitative modeling to evaluate and validate new communication strategies before committing them to production. • Contribute to the evolution of programming models that expose GPU-aware networking capabilities to application developers.