CrawlJobs Logo
NTT DATA Logo NTT DATA · Consulting

Principal AI Security Enterprise Architect

Luxembourg, Diekirch · Job Posted May 06, 2026
Apply Position
Job Link Share

Job Description

The Principal AI Security Enterprise Architect at NTT DATA is a pivotal role responsible for leading the design of complex managed service solutions and driving strategic vision for enterprise clients. The ideal candidate will possess extensive experience in consulting and IT roles, particularly within large-scale technology services environments. A bachelor's degree in Information Technology, Engineering, or Computer Science is required, along with certifications in TOGAF and ITIL. The role demands strong skills in Enterprise Architecture, stakeholder communication, and systems thinking. This position offers the opportunity to work in a diverse and inclusive environment, contributing to innovative solutions that impact clients and society positively.

Job Responsibility

  • Leads the design of large and complex managed service solutions by driving services teams
  • Works closely with the sales team to participate in and proactively drive the presales process with clients
  • Shares responsibility for win strategy, is responsible for translating clients' business strategy and desired business outcomes into an IT strategy/roadmap
  • Leads large complex solution design with clients
  • Integrates services, processes, applications, DATA, technology through a design process across multiple domains, delivery units, or geography
  • Contribute to the knowledge base of the organization's development and services by sharing best practices
  • Uses understanding of the client's business, industry practices, and breadth of knowledge on the full solution portfolio
  • Develops business case and end-to-end roadmap to optimize IT Operations and Measured Business Value
  • Interprets, influences, and develops IT strategies
  • Defines architectural principles and applies them to influence architectural outcomes
  • Develops As-Is, Vision, FMO and To Be service architectures
  • Develops both strategic and solution architectures using the Enterprise Architecture domain abstraction
  • Synthesizes current and future technology trends with client strategic imperatives
  • Leads the integration of services, process, applications, DATA, technology through a Managed Service design
  • Defines organizational structure, capabilities, processes, and business functions

Requirements

  • Bachelor's degree or equivalent in Information Technology or Engineering or Computer Science or related field
  • Certification and expert knowledge of Enterprise Architecture methodologies (such as, TOGAF, Zachman, SOA)
  • Certification and expert knowledge of IT Service Management methodologies (ITIL, COBIT, etc.)
  • Extended experience in a consulting and IT role within a large scale (preferably multi-national) technology services environment
  • Extended experience in IT operations
  • Extended experience in a wide variety of Enterprise Application and Process, IT Services in Networking, Data Center, Communications, Security, End-User Computing and digital Business Solutions
  • Extended client engagement and consulting experience
  • Extended experience in integrating the solution for the project with the business domain, enterprise concerns, industry standards, established patterns, and best practices
  • Extended business development and pre-sales experience
  • Extended experience of the IT industry environment and business needs

Nice to have

  • Scaled Agile certification advantageous
  • additional SOA will be considered as an asset
NTT DATA - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Principal AI Security Enterprise Architect

8 matching positions

Principal AI Architect and Security Strategist

Security represents the most critical priorities for our customers in a world aw...
Location
Location
United States , Multiple Locations
Salary
Salary:
163000.00 - 296400.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter
Job Responsibility
Job Responsibility
  • Define the technical vision, architecture, and roadmap for AI-native security incubation initiatives
  • align stakeholders across Security Copilot, Defender, Sentinel, Entra, Purview, Azure AI and other groups to deliver cohesive customer value, acting as a diplomat to negotiate priorities and trade-offs among partner teams
  • Lead 0→1 incubation R&D through MVP and private preview, then drive 1→N platformization and scale to General Availability (GA)
  • make principled trade-offs across quality, latency, reliability, cost, and safety when delivering solutions
  • Provide hands-on technical leadership – prototype in code, review designs and Pull Requests (PRs), define APIs/data contracts, build well-architected systems, and establish evaluation frameworks to de-risk complex AI systems
  • Set strategy for AI-first security experiences and platform components – determine where to use Large Language Models (LLMs) versus classical Machine Learning, design retrieval-augmented generation (RAG) pipelines, implement grounding and model routing/fallbacks, and establish safety guardrails to meet customer outcomes and Service Level Objectives (SLOs)
  • Ensure a security-centric and Responsible AI approach – design privacy and security guardrails from day one, coordinate security/privacy reviews, abuse prevention, compliance checks, and incident readiness as integral parts of the development process
  • Lead virtual teams (v-teams) and mentor others to cultivate a high-velocity, high-quality engineering culture
  • Engage directly with enterprise customers and field teams to co-design solutions and drive adoption, and communicate program status and strategy to executives through compelling, hands-on demonstrations
  • Fulltime
Read More
Arrow Right

Principal AI Architect

As the Principal AI Architect for Teradata AI Studio, you will define the techni...
Location
Location
India , Bengaluru, Karnataka, India | Hyderabad, Telangana, India
Salary
Salary:
Not provided
teradata.com Logo
Teradata
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of software engineering experience, including 3+ years in a senior architect or principal engineer role with platform-wide technical scope
  • Demonstrated expertise designing AI/ML platforms or developer tools: model serving infrastructure, feature stores, experiment tracking, MLOps pipelines, or AI agent development environments
  • Deep understanding of LLM integration patterns: RAG architectures, fine-tuning pipelines, evaluation frameworks, and agent tool-calling interfaces
  • Experience with enterprise data platforms (Teradata Vantage, Snowflake, Databricks, or equivalent) at sufficient depth to architect against their APIs, security models, and performance characteristics
Job Responsibility
Job Responsibility
  • Define the technical architecture of Teradata's end-to-end AI development environment
  • Set the architectural direction for how AI Studio integrates with Teradata Vantage's query engine, model registry, feature store, and agent harness
  • Establish the patterns for how enterprise customers build trustworthy AI workflows
  • Ensure that AI Studio is the most capable, governed, and scalable AI development environment in the market
What we offer
What we offer
  • Flexible work model
  • People-first culture
  • Focus on well-being
  • Commitment to fostering an inclusive environment
  • Fulltime
Read More
Arrow Right

Principal Enterprise Architect

We are looking for a hands-on Principal Enterprise Architect to lead the design,...
Location
Location
Costa Rica , Heredia
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven track record as an Enterprise or Solution Architect in large-scale environments
  • Deep, hands-on experience with .NET/C# and React
  • Strong background in the Property & Casualty (P&C) insurance industry
  • Expert knowledge of API design, microservices, and event-driven architecture
  • Exceptional leadership and the ability to influence stakeholders at all levels
  • Bachelor's degree in Computer Science or related field
Job Responsibility
Job Responsibility
  • Define and maintain the enterprise architecture roadmap aligned with business goals
  • Lead Architecture Review Boards (ARB) to evaluate and approve new solution designs
  • Standardize design patterns, ensuring consistency and resilience across all enterprise applications
  • Oversee full-stack development, specifically focusing on .NET (C#) backends and React frontends
  • Design and govern RESTful and event-driven APIs to ensure seamless system interoperability
  • Modernize legacy systems using cloud-native patterns and microservices
  • Implement Security-by-Design, ensuring compliance with P&C insurance industry regulations
  • Optimize systems for high availability, scalability, and observability
  • Drive the adoption of AI-assisted development and modern DevOps pipelines to boost productivity
  • Enforce high code-quality standards (SOLID, Clean Architecture, and automated testing)
  • Fulltime
Read More
Arrow Right

Principal Ai Architect

At Teradata, we believe that people thrive when empowered with better informatio...
Location
Location
United States , California
Salary
Salary:
217300.00 - 325900.00 USD / Year
teradata.com Logo
Teradata
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of software engineering experience, including 3+ years in a senior architect or principal engineer role with platform-wide technical scope
  • Demonstrated expertise designing AI/ML platforms or developer tools: model serving infrastructure, feature stores, experiment tracking, MLOps pipelines, or AI agent development environments
  • Deep understanding of LLM integration patterns: RAG architectures, fine-tuning pipelines, evaluation frameworks, and agent tool-calling interfaces
  • Experience with enterprise data platforms (Teradata Vantage, Snowflake, Databricks, or equivalent) at sufficient depth to architect against their APIs, security models, and performance characteristics
  • Experience building developer-facing platforms — SDKs, APIs, or IDEs — that external developers adopt and extend
  • Familiarity with open-source AI development tools: MLflow, Weights & Biases, Hugging Face, LangChain, LangGraph, or comparable
  • Understanding of enterprise AI governance requirements: model lineage, data access controls, audit logging, and responsible AI guardrails
  • Experience with cloud-native architecture (AWS, Azure, GCP) and containerized ML workloads (Kubernetes, Docker)
  • Strong cross-functional influence: you can drive alignment across engineering, product, and customer-facing teams without formal authority
  • A portfolio of architectural decisions — RFCs, design docs, or open-source work — that demonstrates your approach
Job Responsibility
Job Responsibility
  • Define the technical architecture of Teradata's end-to-end AI development environment — the platform where data scientists, ML engineers, and AI developers build, test, deploy, and monitor AI and agentic applications on top of Vantage
  • Set the architectural direction for how AI Studio integrates with Teradata Vantage's query engine, model registry, feature store, and agent harness
  • Establish the patterns for how enterprise customers build trustworthy AI workflows — from data preparation through model deployment to agent-driven automation
  • Ensure that AI Studio is the most capable, governed, and scalable AI development environment in the market
  • Ship architectural decisions that other engineers can build on with confidence
  • Drive customer adoption of AI Studio at scale
What we offer
What we offer
  • Healthcare
  • life and disability insurance plans
  • 401(k)-retirement savings plan
  • time-off programs
  • Fulltime
Read More
Arrow Right

Principal AI Architect

As a Principal AI Architect, you will define and drive the end-to-end Cloud + AI...
Location
Location
United States , Multiple Locations
Salary
Salary:
139900.00 - 274800.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
  • Master's Degree in Computer Science, Engineering or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
  • 10+ experience in software engineering or solution architecture, with demonstrable success building and operating complex systems.
  • 10+ experience designing, implementing, and optimizing AI solutions encompassing data pipelines, model training and serving, and production MLOps.
  • 10 + years of full-stack development across frontend, backend, and cloud infrastructure, with a proficient command of data engineering, AI/ML systems, and deployment architectures.
  • 2+ project experience with NLP and LLM-based systems.
  • Proficient coding skills in C#, Python, JavaScript, and React.
Job Responsibility
Job Responsibility
  • Own the reference architecture and technical roadmap for WWL’s AI/Agentic platform capabilities (e.g., orchestration, tools/plugins, memory, retrieval, evaluation, observability, governance).
  • Translate skilling business objectives into platform investments and architectural decisions, balancing speed-to-value with security, compliance, cost, and long-term maintainability.
  • Establish clear architectural guardrails and decision frameworks (e.g., “build vs. buy,” “Copilot Studio vs. Foundry,” “RAG vs. fine-tune,” “central vs. federated patterns”).
  • Lead architecture/design reviews for major initiatives
  • drive alignment on system boundaries, contracts, dependency management, and resiliency.
  • Define and standardize architecture patterns (multi-tenant SaaS, event-driven architectures, secure data access, model routing, agent safety controls).
  • Create reusable templates, “golden paths,” and reference implementations to accelerate engineering delivery across teams and reduce fragmentation.
  • Embed Responsible AI principles into agentic solution design (human-in-the-loop, safety mitigations, evaluation, transparency, and auditability).
  • Partner with security and compliance stakeholders to ensure services meet required controls and operational standards, and to drive alignment between policy intent and implementation.
  • Define secure patterns for prompt/data handling, secrets management, identity, and access governance for AI systems.
  • Fulltime
Read More
Arrow Right

Principal AI Architect

We are seeking a Principal AI Architect who will own both the AI strategy and en...
Location
Location
United States
Salary
Salary:
173000.00 - 190000.00 USD / Year
pointclickcare.com Logo
PointClickCare
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 12+ years of experience in enterprise, solution, or platform architecture roles within B2B SaaS or large-scale technology organizations
  • Proven experience designing and running AI systems in real production environments
  • Strong experience working across end-to-end B2B SaaS customer and revenue lifecycles including marketing, sales, quoting, contracting, billing, revenue recognition, service, and customer success platforms
  • Experience designing enterprise architecture for HR and corporate technology domains, with the ability to take ownership of these platforms and drive solution architecture without dependency on specific vendors or tools
  • Deep understanding of Generative AI, large language models, agent architectures, RAG patterns, and AI orchestration frameworks
  • Strong proficiency in Python with experience building backend services, APIs, and containerized workloads
  • Hands-on experience with LLM platforms such as OpenAI, Azure OpenAI, or Anthropic
  • Hands-on experience with agent frameworks such as LangChain, LangGraph, CrewAI, or AutoGen
  • Experience designing secure, scalable, multi-tenant enterprise and SaaS architectures
  • Experience leading architecture for large-scale business and technology transformation programs
Job Responsibility
Job Responsibility
  • Define and drive enterprise AI strategy and architecture within a B2B SaaS and enterprise technology environment
  • Design and govern AI solutions across the full customer lifecycle including marketing, sales, solution engineering, quoting, contracting, billing, revenue recognition, service, and customer success management
  • Architect and scale Generative AI, agent-based systems, RAG architectures, and intelligent automation in production SaaS platforms
  • Own enterprise architecture across core business and corporate platforms including customer, revenue, and operational systems such as CRM, quoting, contracting, billing, HR, and IT Service Management environments, with the ability to rapidly learn new technologies and design scalable solution architectures independent of specific tools or vendors
  • Architect and develop agentic enterprise capabilities that enhance business operations, workload orchestration, and user-facing automation
  • Design and implement LLM-powered agents using platforms such as Microsoft Copilot Studio and Salesforce Agentforce
  • Design orchestration patterns using frameworks and platforms such as Salesforce Agentforce, Microsoft Copilot, LangGraph, CrewAI, and LangChain to enable multi-agent collaboration across systems
  • Define architectural guardrails, platform standards, and lifecycle management practices for scalable, secure AI and enterprise systems
  • Act as a technical authority to review, challenge, and guide vendor, system integrator, and internal team architectures
  • Lead architecture governance by defining review frameworks, validating solution designs, and driving alignment to enterprise standards
What we offer
What we offer
  • Benefits starting from Day 1
  • Retirement Plan Matching
  • Flexible Paid Time Off
  • Wellness Support Programs and Resources
  • Parental & Caregiver Leaves
  • Fertility & Adoption Support
  • Continuous Development Support Program
  • Employee Assistance Program
  • Allyship and Inclusion Communities
  • Employee Recognition … and more
  • Fulltime
Read More
Arrow Right

Principal AI Architect

We are seeking a Principal AI Architect who will own both the AI strategy and en...
Location
Location
Canada , Mississauga
Salary
Salary:
164000.00 - 182000.00 CAD / Year
pointclickcare.com Logo
PointClickCare
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 12+ years of experience in enterprise, solution, or platform architecture roles within B2B SaaS or large-scale technology organizations
  • Proven experience designing and running AI systems in real production environments
  • Strong experience working across end-to-end B2B SaaS customer and revenue lifecycles including marketing, sales, quoting, contracting, billing, revenue recognition, service, and customer success platforms
  • Experience designing enterprise architecture for HR and corporate technology domains, with the ability to take ownership of these platforms and drive solution architecture without dependency on specific vendors or tools
  • Deep understanding of Generative AI, large language models, agent architectures, RAG patterns, and AI orchestration frameworks
  • Strong proficiency in Python with experience building backend services, APIs, and containerized workloads
  • Hands-on experience with LLM platforms such as OpenAI, Azure OpenAI, or Anthropic
  • Hands-on experience with agent frameworks such as LangChain, LangGraph, CrewAI, or AutoGen
  • Experience designing secure, scalable, multi-tenant enterprise and SaaS architectures
  • Experience leading architecture for large-scale business and technology transformation programs
Job Responsibility
Job Responsibility
  • Define and drive enterprise AI strategy and architecture within a B2B SaaS and enterprise technology environment
  • Design and govern AI solutions across the full customer lifecycle including marketing, sales, solution engineering, quoting, contracting, billing, revenue recognition, service, and customer success management
  • Architect and scale Generative AI, agent-based systems, RAG architectures, and intelligent automation in production SaaS platforms
  • Own enterprise architecture across core business and corporate platforms including customer, revenue, and operational systems such as CRM, quoting, contracting, billing, HR, and IT Service Management environments, with the ability to rapidly learn new technologies and design scalable solution architectures independent of specific tools or vendors
  • Architect and develop agentic enterprise capabilities that enhance business operations, workload orchestration, and user-facing automation
  • Design and implement LLM-powered agents using platforms such as Microsoft Copilot Studio and Salesforce Agentforce
  • Design orchestration patterns using frameworks and platforms such as Salesforce Agentforce, Microsoft Copilot, LangGraph, CrewAI, and LangChain to enable multi-agent collaboration across systems
  • Define architectural guardrails, platform standards, and lifecycle management practices for scalable, secure AI and enterprise systems
  • Act as a technical authority to review, challenge, and guide vendor, system integrator, and internal team architectures
  • Lead architecture governance by defining review frameworks, validating solution designs, and driving alignment to enterprise standards
What we offer
What we offer
  • Benefits starting from Day 1
  • Retirement Plan Matching
  • Flexible Paid Time Off
  • Wellness Support Programs and Resources
  • Parental & Caregiver Leaves
  • Fertility & Adoption Support
  • Continuous Development Support Program
  • Employee Assistance Program
  • Allyship and Inclusion Communities
  • Employee Recognition
  • Fulltime
Read More
Arrow Right

Principal AI Software Architect

Principal Artificial Intelligence (AI) Software Architect leads the design, deve...
Location
Location
United States , St. Louis
Salary
Salary:
Not provided
vantagelinks.com Logo
VantageLinks
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in the field of computer science, information systems, or computer engineering or equivalent experience
  • 7+ years of experience in software architecture and engineering, with at least 2 years focused on AI/ML systems
  • 5+ years of hands-on experience with application development tools, including Visual Studio .NET
  • 5+ years of hands-on experience with relational database technology, preferably MS SQL Server
Job Responsibility
Job Responsibility
  • Architects and leads the development of AI-driven platforms and scalable software systems aligned with strategic business goals
  • Collaborates cross-functionally with engineering, product, and business teams to define use cases and deliver impactful solutions
  • Evaluates and selects AI and software technologies, frameworks, and tools for optimal performance, scalability, and maintainability
  • Establishes and promotes best practices in AI model development, MLOps, software engineering, DevOps, and system architecture
  • Mentors engineering teams, fostering a culture of innovation, excellence, and continuous improvement
  • Drives technical strategy and long-term planning, aligning engineering efforts with enterprise objectives
  • Ensures compliance with data privacy, security, and ethical standards in all AI and software initiatives
  • Champions engineering excellence through code reviews, automated testing, CI/CD, and agile methodologies
  • Other duties as needed or assigned
Read More
Arrow Right