AI Security Delivery Lead Job at Barclays (Knutsford)

Ai Product Delivery Lead

At Boeing, we innovate and collaborate to make the world a better place. We’re c...

Location

United States , Wichita

Salary:

114850.00 - 176050.00 USD / Year

Boeing

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Mathematics, Computer Science, or another related field of study
6-9 years’ related experience with a Bachelor’s, 4-7 years’ related experience with a Masters
Experience leading delivery of complex technology, data, analytics, or AI initiatives from requirements through production deployment
Demonstrated experience delivering AI or ML‑enabled products or programs in a cross‑functional environment
Proven ability to manage scope, dependencies, risks, budgets, and executive expectations across multiple concurrent initiatives
Experience with cloud‑based data and AI platforms (e.g., Azure, AWS)
Strong ability to build credibility and communicate effectively with technical and non‑technical stakeholders
Comfortable operating in ambiguity and capable of moving work forward without complete information
Clear, concise communicator in written and verbal settings

Job Responsibility

Own end‑to‑end delivery of AI initiatives, from early scoping and prioritization through production launch and post‑launch evaluation
Establish delivery standards, operating rhythms, and performance measures that improve predictability and reduce project risk
Partner with enterprise architecture, engineering, and security to drive architectural decisions and define practical, scalable implementation approaches for AI solutions
Lead cross‑functional alignment with business stakeholders, data science, engineering, infrastructure, and security
translate requirements across teams without loss of clarity or intent
Conduct discovery with business partners to assess feasibility, define priorities, establish measurable success criteria, and set clear expectations before development begins
Assess when AI is and isn’t the right solution and communicate rationale effectively across all stakeholder levels
Build and maintain delivery plans that account for data readiness, model performance constraints, integration complexity, and other sources of AI‑specific uncertainty
Surface risks early, manage trade‑offs, and drive decisions when technical realities and business needs are misaligned
Monitor post‑launch outcomes, validate that solutions deliver intended value, and guide iteration where needed

What we offer

Health insurance
Flexible spending accounts
Health savings accounts
Retirement savings plans
Life and disability insurance programs
Paid and unpaid time away from work
Generous company match to your 401(k)
Industry-leading tuition assistance program pays your institution directly
Fertility, adoption, and surrogacy benefits
Up to $10,000 gift match when you support your favorite nonprofit organizations

Fulltime

Secure‑By‑Design (AI & Office IT) Security Lead - VOIS

We are seeking an experienced cyber security professional to ensure that Vodafon...

Location

India , Pune

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

An experienced cyber security professional with a strong background in securing Office IT, cloud-based services, and enterprise collaboration platforms
Knowledgeable in AI governance and AI security, including risk management for large language models, prompt security, lifecycle governance, and secure enterprise deployment
Comfortable working in agile delivery environments and complex technology landscapes spanning desktop, web, mobile, and cloud services
Confident communicating security risks and requirements clearly to both technical teams and non-technical stakeholders at all organisational levels
Qualified in information security or a related discipline, with recognised professional certifications and several years of practical cyber security and cloud security experience

Job Responsibility

Own and lead the Secure by Design assessment process from initial demand through to formal sign-off, supporting product and delivery teams throughout
Review solution and design documentation, including high-level designs, security requirements, risk items, and penetration test results, to identify appropriate security and privacy controls
Coordinate with privacy, corporate security, and Secure by Design stakeholders to ensure complete and consistent assessment coverage
Ensure assessment outcomes are accurately reflected in risk registers and personal data processing records
Support and coordinate penetration testing activities from onboarding through to final reporting and remediation tracking
Apply in-depth understanding of AI and GenAI use cases, including retrieval-augmented generation, AI agents, and large language model automation, and assess their security and privacy implications
Maintain awareness of enterprise AI platforms, their architecture, and existing security controls to ensure alignment when onboarding or modifying AI-related capabilities
Track mitigation actions through to closure, escalating unresolved risks through appropriate cyber risk governance forums
Support security approvals across development, pre-production, and production environments when enabling new capabilities
Provide guidance to internal teams, suppliers, and third parties to ensure alignment with Vodafone security standards and regulatory obligations, including GDPR

What we offer

The opportunity to influence the security posture of global, AI-enabled products and services used by millions of customers and colleagues
Exposure to cutting-edge AI and GenAI technologies within a large, complex enterprise environment
Collaboration with diverse, international teams across cyber security, privacy, technology, and business functions
A role where security is positioned as a business enabler and differentiator, not a barrier

Fulltime

Manager, Cyber Security Engineering - AI Enablement and Delivery

Blackbaud is seeking an accomplished and visionary Cyber Security Manager to sup...

Location

United States of America

Salary:

117200.00 - 157500.00 USD / Year

Blackbaud

Expiration Date

Until further notice

Requirements

10+ years of experience as an engineer with a strong technical background managing systems and infrastructure
5+ years of experience in a managerial or leadership role managing cloud infrastructure
In-depth knowledge of cloud platforms such as Microsoft Azure and AWS
Deep technical knowledge of AI technologies and frameworks
Proven experience in architecting and delivering AI or machine learning solutions, with a focus on security and compliance
Extensive expertise in cybersecurity principles, cloud infrastructure, and industry best practices
Exceptional communication skills, with the ability to translate complex technical concepts for diverse audiences
Strong project management and organizational skills, with a track record of delivering results in a fast-paced environment

Job Responsibility

Partner with technology/engineering teams to secure AI solutions, ensuring that all implementations comply with industry standards and the company’s internal regulatory and security frameworks
Serve as the lead cyber AI security solution architect and engage in hands-on technical discussions with enterprise architects, engineering teams, and leadership
Ensure all AI and cyber initiatives adhere to relevant laws, regulations, and internal policies
Monitor changes in the regulatory environment and proactively update team practices
Serve as the company’s authority on AI security, providing guidance across the full spectrum of cybersecurity domains and leading knowledge-sharing initiatives
Lead, mentor, and develop a global team of Cyber Solution Architects and Cyber Engineering professionals
Foster a collaborative, high-performance culture that encourages innovation and continuous improvement
Oversee the operation, optimization, and security of the company’s cyber cloud infrastructure
Drive the internal adoption of AI and automation technologies to enhance cyber capabilities, streamline processes, and deliver measurable business value

What we offer

Medical, dental, and vision insurance
Remote-first workforce
401(k) program with employer match
Flexible paid time off
Generous Parental Leave
Volunteer for vacation
Opportunities to connect to build community and belonging
Pet insurance, legal and identity protection
Tuition reimbursement program

Fulltime

Global Lead Architect – Hybrid Cloud, AI & HPE Platform Delivery

A highly senior, customer-facing architecture and delivery leadership role respo...

Location

Bulgaria , Sofia

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

12–15+ years in enterprise IT, with strong focus on: Solution architecture and delivery leadership
Hybrid cloud, AI/HPC, and infrastructure platforms
Proven background in professional services / delivery-led roles, not purely presales
Demonstrated experience leading large-scale, multi-technology programs end-to-end
Strong consulting mindset with excellent stakeholder and executive communication skills
Deep expertise in enterprise private cloud platforms and hybrid architectures
Strong understanding of workload migration, interoperability, and governance
AI platform design (GPU-based infrastructure, NVIDIA ecosystem)
HPC cluster architecture, workload schedulers (Slurm, PBS Pro), and performance tuning
Kubernetes ecosystems (OpenShift, Rancher, CNCF stack)

Job Responsibility

Serve as the technical validation authority during early sales cycles
Lead technical governance from opportunity qualification through delivery execution
Own solution integrity across the lifecycle—design, validation, implementation, and optimization
Architect and oversee end-to-end hybrid and private cloud solutions
Drive adoption of cloud-native, automated, and scalable architectures
Lead delivery teams across complex engagements
Act as the lead design authority ensuring delivery success for AI infrastructure and HPC deployments, Containerized platforms and cloud-native environments, Enterprise hybrid cloud transformations
Provide hands-on guidance during critical phases (design reviews, PoCs, escalations)
Lead technical due diligence during RFP/RFI responses, Solution workshops and discovery sessions, Proof-of-concept engagements
Translate business requirements into deliverable, production-ready architectures

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Lead AI Engineer (Generative AI)

Location

Australia , Melbourne

Salary:

160000.00 - 170000.00 AUD / Year

Salt

Expiration Date

Until further notice

Requirements

2 – 4 years experience applying modern Generative AI in real delivery environments
A strong track record of providing technical leadership
A strong background in software engineering before stepping into a more AI-focused role in recent times
Deep expertise in Generative AI, large language models, retrieval‑augmented generation (RAG), and modern machine learning techniques
Strengths in prompt engineering, offline/online evaluation, safety guardrails, and telemetry‑driven improvement
Practical experience with RAG, embeddings/vector search, and tool‑use/function‑calling orchestration
The ability to define trustworthy AI metrics
A Software engineering background using the likes of React, Typescript, React Native
AWS experience / certifications
Strong knowledge of CI/CD

Job Responsibility

Accelerating the adoption of Generative AI for this company, leading the adoption of AI‑first engineering practices and an 'AI-first' mindset
Providing technical leadership and shaping AI-enabled solutions
Reporting into the Head of Technology and working closely with the Head of Enterprise AI
Collaborating with a variety of cross-functional teams including
Engineering, QA, BA, Product Management, Senior Business Stakeholders, Data Science, Cyber Security, Enterprise Architecture
Coaching and training engineers and leaders in the organisation in safe, effective AI‑assisted development
Encouraging teams to embed AI‑driven thinking in solution design and delivery
Defining and helping to operationalise trustworthy metrics to measure the impact of AI features, and developer productivity uplifts
Producing AI-augmented solution designs when required
Driving engineering excellence by uplifting standards, modernising technical practices, and championing AI‑aligned SDLC patterns

What we offer

Super
Bonus

Fulltime

Ai Lead Application Architecture - Vice President

We are seeking a highly experienced and technically proficient Sr Applied AI Eng...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

15 years of relevant experience in leading Apps Development or systems design role
Extensive experience system analysis and in programming of software applications
Demonstrable exposure and practical experience with AI development
Knowledge of capital market is plus
Experience in managing and implementing successful projects
Subject Matter Expert (SME) in at least one area of Applications Development
Ability to adjust priorities quickly as circumstances dictate
Demonstrated leadership and project management skills
Consistently demonstrates clear and concise written and verbal communication
Bachelor’s degree/University degree or equivalent experience

Job Responsibility

Lead the design, development, and implementation of complex middleware applications using Java and Spring Boot: Utilize AI-powered code generation tools (e.g., Devin, Copilot, Codex) to accelerate development, automate boilerplate code, suggest optimal implementations, and enforce architectural patterns. Leverage AI for design pattern identification and complex system architecture validation
Architect and optimize database interactions with Oracle, SQL, and MongoDB, ensuring high performance and data integrity: Employ AI to analyze database query performance, suggest advanced indexing strategies, optimize schema designs, and generate efficient SQL/NoSQL queries. AI-driven tools can also assist in predicting database load and recommending scaling solutions
Drive the adoption and continuous improvement of CI/CD pipelines to facilitate rapid and reliable software delivery: Integrate AI into CI/CD processes for intelligent test case generation, predictive failure analysis, automated code vulnerability scanning, and optimization of pipeline execution times based on historical data
Collaborate with cross-functional teams, including product management, QA, and operations, to define requirements, design solutions, and deliver high-quality software:Use AI-powered communication and summarization tools (e.g., Claude) to streamline requirement gathering, document analysis, and stakeholder communication. AI can also assist in translating technical designs into accessible formats for various audiences
Mentor and provide technical guidance to junior and mid-level software engineers, fostering a culture of technical excellence and continuous learning: Leverage AI platforms for personalized learning paths, automated code feedback, and explanations of complex technical concepts. Encourage junior engineers to adopt AI-driven development practices
Actively research and experiment with AI technologies to identify opportunities for enhancing developer productivity, automating tasks, and improving software quality:Continuously explore emerging AI tools and techniques (such as Anti Gravity for complex problem-solving) and assess their applicability to our development ecosystem
Participate in code reviews, ensuring adherence to coding standards, best practices, and architectural guidelines: Utilize AI-powered code analysis tools to pre-scan code for potential bugs, security vulnerabilities, performance bottlenecks, and style deviations, allowing human reviewers to focus on higher-level logic and design
Troubleshoot and resolve complex technical issues, ensuring the stability and performance of production systems: Implement AI-driven anomaly detection in monitoring systems, leverage AI for rapid log analysis and root cause identification, and automate incident response workflows
Contribute to the strategic planning and technical roadmap for our middleware platforms: Employ AI to analyze industry trends, forecast technology evolution, assess the impact of new features, and prioritize roadmap initiatives based on data-driven insights
Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, and model development: Utilize AI for data synthesis, predictive modeling for estimations, identification of potential IT risks, and accelerated model prototyping and validation

Fulltime

Lead AI Engineer

We are seeking a highly experienced AI Lead who combines deep technical expertis...

Location

United Kingdom , London

Salary:

Not provided

RedCloud

Expiration Date

Until further notice

Requirements

Deep technical expertise in AI/ML, LLMs, and team leadership
Experience designing, building, deploying scalable AI/ML models, APIs, LLM-based solutions (e.g., agents, chatbots)
Proficiency in Agile delivery, Scrum ceremonies, sprint planning
Strong technical architecture and decision-making skills
Ability to lead incident response and production issue resolution
Experience collaborating with product managers and stakeholders
Knowledge of best practices in testing, documentation, scalability
Mentor and coach engineers and data scientists
Excellent communication skills across technical and non-technical stakeholders

Job Responsibility

Design, build, deploy scalable AI/ML models, APIs, LLM-based solutions (e.g., agents, chatbots)
Ensure solutions are secure, reproducible, aligned with product requirements
Drive best practices in model development, evaluation, deployment
Collaborate with product and engineering teams
Facilitate Scrum ceremonies including stand-ups, sprint planning, reviews, retrospectives
Drive continuous improvement in team processes and delivery efficiency
Own technical direction and architectural integrity of AI/ML solutions
Lead design discussions and align with wider engineering strategy
Investigate and resolve issues across models, data pipelines, AI systems
Lead incident response for production outages

What we offer

25 Days Annual leave, increasing to 26 days after 12 months
Enhanced Company Pension (Matched up to 5% & Salary Sacrifice)
Healthcare Cashplan with Medicash
Private Healthcare with Aviva
Life Insurance with AIG
Happl benefit platform with pre-negotiated discounts (entertainment, food, fitness)
Stock / Equity

Fulltime

Ai Security Architect

We are currently seeking a AI Security Architect to join our team in Bangalore o...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

5+ years in cybersecurity architecture with proven experience securing large-scale LLM deployments and multi-agent workflows
Hands-on capability with agent frameworks (e.g., LangChain, LangGraph, AutoGen) and MLOps platforms
Deep familiarity with model risk management principles and AI security standards

Job Responsibility

Defining security architecture and implementing robust security controls for AI/ML systems and their underlying platforms
Serving as the team’s technical mentor and architecture authority, driving secure-by-design patterns across the AI/ML lifecycle (data, training, evaluation, deployment, and production monitoring)
Proactively mitigating AI-specific threats such as model integrity risks, data poisoning, adversarial attacks, prompt injection, model extraction, and inference-time abuse
Leading technically, setting standards, and guiding engineers day-to-day through architecture, reviews, and delivery
Ensuring AI systems are secure, compliant, and resilient by implementing data protection, threat detection, guardrails, and ongoing risk monitoring across the AI lifecycle
Agent Security: Define strict Role-Based Access Control (RBAC) and least-privilege models for AI agents
Design runtime environments with restricted permissions
Implement defenses against adversarial attacks, prompt injections, jailbreaking, and sensitive data leakage (DLP) across agent workflows
Observability & Monitoring: Architect logging and monitoring standards for decision traceability
Monitor models and prompt templates for behavioral drift, anomalies, and attacks

Fulltime

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