Senior AI Security Advisor Job at NTT DATA (Boston)

AI Solution Developer II / Senior AI Solution Developer

This role will work within our Scientific Data Technology and AI department whic...

Location

United Kingdom

Salary:

Not provided

Parexel

Expiration Date

Until further notice

Requirements

Educated to BSc. or MSc level in Engineering or Computer Science with a focus on Machine Learning (and GenAI) or other equivalent qualification/experience
Experience in Palantir Foundry, it’s ecosystem and components, including building Workshop Apps, building and deploying Modelling Objectives and managing Code Repos and Pipelines
Machine Learning, Generative AI (Gen AI), Deep Learning (building and deploying NLP systems within Palantir Foundry)
Proven CS fundamentals including data structures, algorithms, and distributed systems
Proven theoretical and practical experience in modern ML technologies, including transformers, graphical models, information retrieval techniques, LLMs, time series models, Reinforcement Learning, etc.
Proven software engineering fundamentals, including the ability to write production ready code, establish and enforce high engineering standards, architect packages, and own architectural and procedural choices for effective shared codebases within Foundry
Knowledge of Python and scientific computing packages (PyTorch, NumPy, Scikit-learn, TensorFlow)
Experience with data modeling and pipeline development in Palantir Foundry
Experience with frontend development for intuitive user experience
Practical understanding of database technologies including relational, non-relational and graph

Job Responsibility

Leverage Palantir Foundry to build and deploy reusable custom machine learning models, Ontologies and end-user applications
Design, implement, and document new ML/Gen AI modeling techniques and strategies
Develop ML pipelines and workflows in Foundry to support AI solution development and deployment
Review and adapt recent research in ML and Gen AI into Foundry-based prototypes and production solutions
Review code and pipelines of other engineers to enhance ML quality and security within Foundry
Understand business needs and user workflows and support interpretation in the context of potential AI solutions in Foundry
Support development of custom models and AI / Gen AI solutions using Foundry's ML capabilities to address business needs
Lead experiment and model evaluation design based on well-founded best practices in machine learning to ensure safe, effective, and principled AI development practices within Foundry
Carry out AI solution prototyping and experimentation using Foundry's tools, various LLMs and environments
Collaborate with Product to define and implement features to satisfy customer requirements within Foundry

What we offer

competitive base salary
holiday
private healthcare
dental insurance

Fulltime

Senior Java Engineer – Agentic AI Driven Development - Senior Vice President

The Applications Development Technology Senior Lead Analyst is a senior-level po...

Location

Canada , Mississauga

Salary:

145100.00 - 217700.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

Core Java - Strong understanding of Java (JDK 8+, preferably Java 11/17), including multithreading, collections, garbage collection, and JVM internals
Frameworks - Extensive experience with Spring Framework (Spring Boot, Spring MVC, Spring Data JPA, Spring Security)
Middleware - Proven experience in designing and developing RESTful APIs and microservices
Relational Databases - Strong proficiency in SQL and experience with Oracle databases, including schema design, query optimization, and stored procedures
NoSQL Databases - Experience with MongoDB, including data modeling, querying, and performance tuning
CI/CD & DevOps - Hands-on experience with CI/CD tools and practices (e.g., Jenkins, GitLab CI, GitHub Actions, Maven/Gradle, Docker, Kubernetes)
Version Control - Proficiency with Git and standard branching strategies (e.g., Gitflow)
Testing - Experience with unit testing frameworks (JUnit, Mockito) and integration testing
Web Technologies (Beneficial) - Familiarity with web services (SOAP/REST), XML, JSON
AI Tools & Methodologies - Demonstrable exposure and practical experience with AI development tools such as Devin, GitHub Copilot, Claude, Anti Gravity, and Codex

Job Responsibility

Lead the design, development, and implementation of complex middleware applications using Java and Spring Boot
Architect and optimize database interactions with Oracle, SQL, and MongoDB, ensuring high performance and data integrity
Drive the adoption and continuous improvement of CI/CD pipelines to facilitate rapid and reliable software delivery
Collaborate with cross-functional teams, including product management, QA, and operations, to define requirements, design solutions, and deliver high-quality software
Mentor and provide technical guidance to junior and mid-level software engineers, fostering a culture of technical excellence and continuous learning
Actively research and experiment with AI technologies to identify opportunities for enhancing developer productivity, automating tasks, and improving software quality
Participate in code reviews, ensuring adherence to coding standards, best practices, and architectural guidelines
Troubleshoot and resolve complex technical issues, ensuring the stability and performance of production systems
Contribute to the strategic planning and technical roadmap for our middleware platforms
Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, and model development

What we offer

Discover the top benefits offered to our global workforce, designed to support your well-being, growth and work-life balance. Explore a few of the highlights that make working with us rewarding.

Fulltime

Senior AI Platform Architect

As an AI Platform Architect II at Teradyne, you will be a pivotal leader at the ...

Location

United States , North Reading

Salary:

139900.00 - 223900.00 USD / Year

Teradyne

Expiration Date

Until further notice

Requirements

6-8 years in Information Technology including Enterprise Architecture and AI/ML/GenAI Engineering. Proven experience in designing and implementing large-scale, enterprise-wide AI solutions.
Bachelor's Degree in Computer Science, Information Systems, Engineering, or a related field required
Deep understanding of AI and machine learning concepts, including generative AI, large language models (LLMs), and MLOps.
Expertise in designing and building solutions on cloud platforms, with a strong preference for Microsoft Azure and a working knowledge of Google Cloud Platform.
Hands-on experience with and a deep architectural understanding of our core AI and data platforms: Microsoft 365 Copilot, Microsoft Copilot Studio, Azure AI (including the future Azure AI Foundry), Google Vertex AI, and Snowflake Cortex AI.
Strong knowledge of data architecture, data governance, and data security best practices.
Familiarity with Infrastructure as Code (IaC) and CI/CD principles.
Exceptional leadership and communication skills, with the ability to articulate a clear vision and influence stakeholders at all levels of the organization.
Analytical mindset with a focus on delivering measurable business outcomes.
Strong strategic thinking and business acumen, with the ability to connect technology solutions to business value.

Job Responsibility

Design and evangelize a cohesive, enterprise-wide AI and Data architecture.
Create the blueprint for a scalable and secure ecosystem that leverages investments in Microsoft 365 & Copilot, Azure Foundry, Google Vertex AI, and Snowflake Cortex AI.
Guide the selection of AI tools, define the data integration strategy, and establish reusable patterns for agentic development.
Be a key change agent, responsible for embedding AI into the fabric of the business
Bridge the gap between strategy and execution by fostering an AI-ready culture, building institutional literacy.
Architect and operationalize the enterprise AI strategy by developing a comprehensive architectural blueprint and component-level roadmap.
Lead the design of a unified AI ecosystem that integrates our core platforms.
Establish and champion architectural standards, reusable MLOps & LLMOps patterns, and best practices.
Architect and lead the strategy for a centralized Model Context Protocol (MCP) Server.
Evaluate emerging AI technologies, frameworks, and methodologies, making strategic recommendations.

What we offer

Medical
Dental
Vision
Flexible Spending Accounts
Retirement savings plans
Life and disability insurance
Paid vacation & holidays
Tuition assistance programs

Fulltime

Senior AI Specialist Solutions Architect, AWS

Amazon Web Services (AWS) is leading the next phase of AI adoption and is seekin...

Location

Australia , Sydney

Salary:

Not provided

Amazon Pforzheim GmbH

Expiration Date

Until further notice

Requirements

7+ years of design, implementation, or consulting in applications and infrastructures experience
5+ years of management of technical, enterprise customer facing resources or equivalent experience
5+ years of design/implementation of production AI systems

Job Responsibility

Build technical relationships with customers of all sizes and operate as their trusted advisor, ensuring they get the most out of the cloud at every stage of their journey while adopting GenAI/ML and Agentic technologies across their organisation
Manage the overall technical relationship between AWS and our customers, making recommendations on security, cost, performance, reliability and operational efficiency to accelerate their challenging GenAI/ML and Agentic projects
Be the voice of the customer, sharing their needs with regard to their usage of our services impacting the roadmap of AWS GenAI/ML and Agentic features
Link technology to tangible solutions, with the opportunity to define cloud-native GenAI/ML and Agentic architectural patterns for a variety of use cases
Participate in the creation and sharing of best practices, technical content and new reference architectures (e.g. white papers, code samples, blog posts) and evangelize and educate about running GenAI/ML and Agentic workloads on AWS technology (e.g. through workshops, user groups, meetups, public speaking, online videos or conferences)
Lead hands-on deep dives and technical workshops, contributing reusable code, reference architectures, and internal technical assets for the broader engineering organization

Fulltime

Senior Ai Solution Architect, Specialist Sa

Amazon Web Services (AWS) is leading the next phase of AI adoption and is seekin...

Location

Canada , Toronto

Salary:

146000.00 - 211600.00 CAD / Year

myGwork - LGBTQ+ Business Community

Expiration Date

Until further notice

Requirements

7+ years of in design/implementation/operations/consulting with distributed applications experience
5+ years of management of technical, enterprise customer facing resources or equivalent experience
5+ years of working with or evaluating AI systems experience
Experience implementing AI solutions that can include integration of LLMs/multi-modal FMs in large scale systems, fine-tuning LLMs, deployment and distributed inference of LLMs, RAG, FM evaluation, Vector DBs, Agentic workflows, prompt/context engineering, and MLOps
Hands-on experience with AWS ecosystems (including Bedrock, AgentCore, and SageMaker) to set up secure, private-network AI environments, and practical experience implementing Retrieval-Augmented Generation using embeddings, vector stores, and semantic search optimization

Job Responsibility

Build technical relationships with customers of all sizes and operate as their trusted advisor, ensuring they get the most out of the cloud at every stage of their journey while adopting GenAI/ML and Agentic technologies across their organisation
Manage the overall technical relationship between AWS and our customers, making recommendations on security, cost, performance, reliability and operational efficiency to accelerate their challenging GenAI/ML and Agentic projects
Be the voice of the customer, sharing their needs with regard to their usage of our services impacting the roadmap of AWS GenAI/ML and Agentic features
Link technology to tangible solutions, with the opportunity to define cloud-native GenAI/ML and Agentic architectural patterns for a variety of use cases
Participate in the creation and sharing of best practices, technical content and new reference architectures (e.g. white papers, code samples, blog posts) and evangelize and educate about running GenAI/ML and Agentic workloads on AWS technology (e.g. through workshops, user groups, meetups, public speaking, online videos or conferences)
Lead hands-on deep dives and technical workshops, contributing reusable code, reference architectures, and internal technical assets for the broader engineering organization

What we offer

health insurance (medical, dental, vision, prescription, basic life & AD&D insurance)
Registered Retirement Savings Plan (RRSP)
Deferred Profit Sharing Plan (DPSP)
paid time off
other resources to improve health and well-being

Fulltime

Senior AI Solution Architect - Enterprise GenAI Solutions

At the BMW Group, everything starts with passion. It turns a profession into a v...

Location

Germany , Munich

Salary:

Not provided

BMW

Expiration Date

Until further notice

Requirements

University degree in (business) informatics, computer science, or a comparable technical qualification with a strong AI focus
At least 5 years of experience in designing and implementing AI‑based solutions in cloud‑based, enterprise‑scale environments
Deep hands‑on expertise in production‑grade GenAI applications, especially in prompting, grounding, evaluation, and response quality optimization
Strong architectural understanding of enterprise AI solutions, including AI platforms, APIs, orchestration patterns, and agent‑based approaches (preferably in AWS or Azure)
Proven experience in implementing secure and compliant AI solutions, with appropriate guardrails for privacy, robustness, and regulatory requirements
Independent and solution‑oriented working style, strong collaboration and consulting skills and experience in agile environments
Proven experience in designing GenAI Solutions for seamless, scalable and enterprise-ready operations as well as good German skills (at least B1) and business-fluent English skills

Job Responsibility

Support and co‑create lighthouse AI use cases together with business and IT teams – from early solution design to implementation on our central AI platform
Translate business requirements into reusable GenAI solution patterns, with a strong focus on prompting & evaluation, knowledge grounding/RAG, and AI security guardrailing
Advise use case teams on solution architecture and implementation approaches for customer‑facing and business‑critical GenAI applications (e.g. chatbots, AI assistants)
Act as a trusted advisor and technical sparring partner, enabling teams to apply GenAI tools effectively, securely, and responsibly in an enterprise environment
Based on hands‑on co‑creation experience, identify gaps and improvement needs in the AI platform and feed them back in close collaboration with platform teams
Stay close to developments in Generative AI, LLM architectures, RAG, agent‑based patterns, and AI‑supported development, and apply them pragmatically in real‑world lighthouse projects

What we offer

Challenging projects with which we are shaping the mobility of tomorrow together
Wide range of personal and professional development opportunities
Attractive, fair and performance-related remuneration
High level of job security
Annual special payments such as vacation pay, Christmas bonus, and profit sharing
Flexible working hours including 6 weeks annual leave and overtime compensation
Discounted BMW & MINI conditions

Fulltime

Senior AI Engineer, Banking Technology – Vice President

Citi’s Banking Technology organization is seeking a highly hands-on Senior AI En...

Location

Canada , Mississauga

Salary:

120800.00 - 170800.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

6–10 years of progressive software engineering experience with a strong hands‑on coding background
2+ years focused on AI software development, LLM‑based solutions, agentic systems, and/or machine learning
Demonstrated experience delivering enterprise‑scale AI capabilities into production
Strong proficiency in Python and/or Java (Spring Boot)
working knowledge of JavaScript/TypeScript (Angular, Node.js). Full‑stack experience is a plus
Solid understanding of core AI concepts such as knowledge representation, planning, and multi‑agent systems
Hands‑on experience with LLMs, RAG, prompt engineering, MCPs, and agent frameworks (e.g., Google ADK)
Practical experience with ML frameworks and libraries (TensorFlow, PyTorch, Scikit‑learn, NumPy, Pandas)
Familiarity with AI coding tools such as Devin, GitHub Copilot, and Antigravity
Strong grounding in modern engineering practices including Git, CI/CD, testing, code reviews, agile delivery, application resiliency, and security

Job Responsibility

Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
Design, implement, and deploy scalable agentic AI frameworks and generative AI solutions for critical business use cases, ensuring robustness, performance, security, and reliability
Develop and integrate agentic AI systems leveraging multiple model providers and platforms (e.g., OpenAI, Anthropic, Google APIs)

Fulltime

Cyber Security Advisor

Whitehall Resources are currently looking for a Cyber Security Advisor.

Location

Sweden

Salary:

Not provided

Whitehall Resources Ltd

Expiration Date

Until further notice

Requirements

Typically, 10+ years of experience in cybersecurity, information security, IT governance, risk management, or compliance
Bachelor’s degree in Computer Science (or related field) preferred alternatively equivalent work experience
Proven leadership in developing, implementing, and overseeing security governance frameworks, policies, and strategies
Experience in aligning security and data privacy with business objectives at a strategic level
Hands on experience with enterprise risk management, regulatory compliance (e.g., GDPR, ISO 27001, NIST, PCI DSS), and security program development
Strong expertise in third party/vendor risk management and security governance across complex business environments
Demonstrated ability to lead security incident response and crisis management at an enterprise level
Proven ability to influence senior leadership and board level discussions on security risks and strategies
Certifications such as CISSP, CIPM, CISA, ISO/IEC 27001 Lead Auditor
Additional specializations (e.g. AI Governance, Cloud Security, CIPP/E)

Job Responsibility

Act as a trusted advisor to management and key stakeholders, ensuring cybersecurity considerations are integrated into decision-making
Ensure cybersecurity best practices align with business objectives and delivery goals without hindering operational efficiency
Provide cybersecurity expertise during projects and engagements to mitigate risks and enhance security controls
Work with cross-functional teams to enhance the organization’s overall cybersecurity resilience
Identify, assess, and provide guidance on mitigating cybersecurity risks across business functions
Support compliance with relevant cybersecurity laws, regulations, and industry standards
Contribute to the development and implementation of security strategies, policies, and frameworks
Promote cybersecurity awareness and best practices among employees and stakeholders

Select Country

Senior AI Security Advisor

Job Description

Job Responsibility

Requirements

Looking for more opportunities?