GenAI Prompt Security Engineer Job at Citi (Belfast)

Lead AI Engineer - GenAI & RAG Solutions

As a Lead AI Engineer within our Data & AI practice, you will play a key role in...

Location

Belgium

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

At least 3 years of experience in AI/ML projects, with at least 1 year in LLMs and generative AI
Experience with RAG architectures, vector search (e.g., Azure Cognitive Search, FAISS), embedding pipelines
Proficient in Python and familiar with prompt engineering, langchain, or similar frameworks
Experience with Azure OpenAI, Azure Functions, Azure Blob Storage
Understands challenges around data security, governance, and access in AI solutions (e.g., healthcare and public sector)
Fluent in Dutch, comfortable working in a bilingual context

Job Responsibility

Architect and implement RAG solutions in Azure (OpenAI, Cognitive Search, Blob Storage, Azure Functions, etc.)
Conduct intake workshops and translate business needs into AI solutions
Provide technical leadership within multidisciplinary project teams
Support MVP development around GPT, Copilot extensions, and embedded LLM solutions
Shape the AI roadmap for our clients

What we offer

Make a Difference with a Meaningful Career
Grow and Evolve Professionally
Unlock Relevant Career Opportunities
Achieve Work-Life Balance
Enjoy Generous Annual Leave
Travel in Comfort
Comprehensive Insurance Coverage
Attractive Compensation Package

Fulltime

Staff AI Innovation Engineer, Employee Experience

Architect the next generation of Airbnb’s internal operating system by designing...

Location

United States

Salary:

180000.00 - 225000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

9+ years in product management, AI engineering, and/or platform architecture, with hands-on experience building and launching AI/ML-powered products
Proven 0→1 builder with extensive experience developing GenAI prototypes, tools, and platforms from scratch
Ability to produce functional prototypes (using Claude Code or similar) within hours and stakeholder-ready demos within days
Strong systems-thinking skills with the ability to map complex workflows, diagnose root causes, and design buildable solutions
Expertise in prompt engineering, context orchestration, and adapting LLM behavior to different users, workflows, and decision contexts
Data-informed decision-maker who can define success criteria, measure ROI, and refine models and workflows
Skilled in communicating technical concepts to non-technical audiences
Highly collaborative, systems-oriented, and adept at connecting dots across people, tools, and processes
Strong visual and narrative communication skills (Figma, Miro, slideware)
Portfolio of prototypes or relevant 0→1 work preferred but not required

Job Responsibility

Translate employee and manager workflows into well-defined AI product opportunities
Rapidly prototype and test working solutions (LLM agents, workflow automations, microapps, embedded tools, etc.)
Architect systems integrations across our HR tech stack (Workday, Greenhouse, Qualtrics, Airtable, RightAnswers, Asana, and more)
Lead discovery sessions with stakeholders to uncover automation and augmentation opportunities
Evaluate third-party AI tools and determine build vs. buy options
Design and execute fast-cycle pilots across knowledge management, decision support, communications, and resource planning
Define success metrics, measure impact, and iterate based on user feedback
Translate complex AI architectures into clear narratives that help stakeholders understand value and adoption paths
Ensure alignment with Airbnb’s privacy, security, and ethical AI guardrails
Continuously evolve EX’s AI strategy as organizational needs and technologies shift

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

Senior AI Security Engineer

The Senior AI Security Engineer is a technical leader and engineering manager wi...

Location

Hungary , Budapest

Salary:

22713830.00 - 38083370.00 HUF / Month

Citi

Expiration Date

Until further notice

Requirements

8-10+ years of experience in software engineering, with demonstrable experience as a technical lead or engineering manager
Python mastery: Deep, hands-on experience building and maintaining production-grade Python applications and services
LLM engineering: Practical experience with LLM APIs (OpenAI, Anthropic, Google), prompt engineering, model evaluation, and input/output guardrails
Production systems: Track record of deploying and operating AI/ML systems in production at enterprise scale
Software engineering fundamentals: Clean code, design patterns, testable architecture, CI/CD, infrastructure-as-code
3+ years leading or managing engineering teams, including performance management, hiring, and career development
Track record of delivering complex software products in environments where priorities shift rapidly
Experience setting engineering standards and driving quality across a team's output
Demonstrated ability to mentor and develop engineers through code review, architectural guidance, and knowledge sharing
Proven capability to attract, develop, and retain engineering talent

Job Responsibility

Agentic AI Engineering & Use Case Incubation (40%): Own and evolve the Incubator Environment — the platform and tooling that enables CISO teams to move from idea to working PoC to validated use case
Partner with cybersecurity domain teams to understand their challenges, identify high-value AI use cases, and rapidly prototype agentic solutions
Design, build, and deploy agentic AI systems that autonomously perform cybersecurity tasks — including threat analysis, security control validation, intelligent triage, and response orchestration
Architect multi-agent orchestration systems, defining how AI agents collaborate, delegate, and escalate across security workflows
Implement robust agent infrastructure: tool use frameworks, memory and context management, planning/execution loops, guardrails, and human-in-the-loop controls
Build and maintain RAG pipelines, knowledge retrieval systems, and dynamic context assembly that underpin agent decision-making
Shepherd validated use cases through to production readiness and handoff to the dedicated product support team
Drive adoption and effective use of AI development tooling (Devin, GitHub Copilot, Claude Code) to maximize team velocity
Make key technical decisions on architecture, technology selection, and build-vs-integrate trade-offs
Incubator Platform & Technical Architecture (25%): Design and maintain the Incubator Environment architecture — a scalable, secure platform that enables rapid prototyping and validation of agentic AI use cases

What we offer

Cafeteria Program
Home Office Allowance (for colleagues working in hybrid work models)
Paid Parental Leave Program (maternity and paternity leave)
Private Medical Care Program and onsite medical rooms at our offices
Pension Plan Contribution to voluntary pension fund
Group Life Insurance
Employee Assistance Program
Access to a wide variety of learning and development programs, online course libraries and upskilling platforms, such as Udemy and Degreed
Flexible work arrangements to support you in managing work - life balance
Career progression opportunities across geographies and business lines

Fulltime

Senior Software Engineer - Build AI Tools

This role sits within the newly formed GenAI Security team, which is responsible...

Location

United Kingdom , Belfast

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Highly motivated self-starter with excellent interpersonal and problem-solving skills
Bachelor’s degree or equivalent work experience
Good oral and written communication skills
Significant relevant industry work experience
Experience of the full lifecycle of design, implementation and running of enterprise software solutions involving cross functional team collaboration
Expertise in a major programming language such as Python and/or Go, and associated tooling (Git, Maven, IDEs, Jenkins, Bitbucket etc)
Expertise in designing and implementing secure APIs and libraries
Experience in Generative AI, LLM frameworks, LLM prompt engineering and/or adversarial testing is a bonus
Experience with Cyber engineering and Operations, which could include DevSecOps or MLSecOps
Experience contributing to the architecture and design (architecture, design patterns, reliability, scaling) of new and current systems

Job Responsibility

Designing, developing, optimizing, and enhancing a GenAI prompt security platform to protect firm AI/LLM-based applications from adversarial attacks and prompt injections
Building and automating a security testing framework to validate protection mechanisms for various LLM use cases
Owning solutions that are expected to operate and perform at scale across the organisation
Collaboration with multiple stakeholders and partners across Engineering and Operations as well as partner teams within the wider Citi organisation, across different time zones

What we offer

27 days annual leave (plus bank holidays)
A discretional annual performance related bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
Access to an array of learning and development resources

Fulltime

Solution Architect - Digital Services

We are looking for a visionary Solution Architect to lead enterprise-grade digit...

Location

India , Chennai City Corporation

Salary:

Not provided

OptiSol Business Solutions

Expiration Date

Until further notice

Requirements

Bachelor’s/Master’s in Computer Science, Engineering, or related field
Strong programming experience in .NET, Python, Java, or Node.js
Hands-on experience with AWS or Azure, microservices, micro frontend, API gateways, and messaging systems
Knowledge of GenAI apps (LLMs, embedding, prompt chaining), ML workflows, REST APIs, and event-driven architectures
Experience with database modernization, schema optimization, migration tools (Flyway, Liquibase), and cloud-native database platforms
Familiarity with containerization (Docker), orchestration (Kubernetes), and secure SDLC practices
Awareness of cloud security, compliance, and cost optimization
Ability to integrate security considerations throughout the SDLC, including threat modeling and secure coding practices
Experience conducting security assessments (SAST, DAST, vulnerability scanning)

Job Responsibility

Lead solution architecture and design for key projects, delivering accurate estimates and coordinating with architects across solution, infrastructure, and data disciplines
Collaborate with delivery teams, production support, QA, infrastructure, and stakeholders to transform requirements into scalable, secure, and cloud-native solutions
Define and enforce technical best practices, standards, and security guidelines while conducting quality assurance, automated code review, and design/code reviews
Mentor engineers and guide teams through complex technical challenges, promoting modular design, secure coding practices, and professional growth
Drive modernization initiatives including refactoring, containerization, microservices adoption, and database migration, including migration from legacy RDBMS to cloud-native or NoSQL solutions
Integrate AI/ML and GenAI components (LLMs, embedding, vector databases, prompt engineering) into enterprise workflows and design innovative GenAI-enabled applications
Continuously assess and recommend tools, frameworks, and platforms to meet evolving project needs efficiently, ensuring alignment with business objectives

What we offer

Opportunity to architect next-generation enterprise solutions integrating GenAI, cloud-native, and modernization strategies
Collaborate with expert teams across engineering, AI/ML, and cloud practices
Leadership visibility, continuous learning opportunities, and access to certifications

Fulltime

Sr Staff ML Engineer - Production & MLOps Focus - GenAI Security Platform

Join our team building a cutting-edge multi-tenanted GenAI Security Platform tha...

Location

India , Bengaluru

Salary:

Not provided

Palo Alto Networks

Expiration Date

Until further notice

Requirements

4+ years of ML engineering experience with hands-on LLM/NLP work
Practical experience building LLM-based applications (agents, multi-turn systems, evaluators)
Understanding of model fine-tuning, embedding optimization, and prompt engineering
Experience with LLM APIs (OpenAI, Anthropic, AWS Bedrock, Azure OpenAI)
Knowledge of LLM orchestration frameworks ( LangChain, LlamaIndex, Pydantic AI, custom solutions)
Familiarity with model architectures and when to fine-tune vs prompt engineer
Strong experience deploying ML models to production at scale
Experience with Model serving frameworks (vLLM preferred
TensorRT-LLM, Ray Serve, or similar a plus)
Kubernetes and Docker proficiency for ML workload orchestration

Job Responsibility

Build and deploy LLM-based agents and multi-step evaluation workflows
Fine-tune models, optimize embeddings, and manage model weights and artifacts
Deploy and scale ML services on Kubernetes with proper monitoring and resource management
Implement experiment tracking, model versioning, and deployment automation
Develop observability dashboards for ML metrics, costs, latency, and quality
Optimize LLM API usage through caching, batching, and intelligent routing strategies
Manage vector database infrastructure and semantic search systems
Create CI/CD pipelines for ML artifacts and automated testing frameworks
Collaborate with ML researchers to productionize prototypes and scale experiments

Fulltime

Lead GenAI Solution Architect

We are seeking a senior technical leader to shape solution architecture standard...

Location

United Kingdom

Salary:

Not provided

Admiral Group Plc

Expiration Date

Until further notice

Requirements

Significant experience in solution architecture within complex or matrix organisations
Proven ability to design and deliver enterprise‑grade solutions using GenAI technologies such as LLMs, RAG, agents and related frameworks
Strong understanding of cloud platforms such as AWS, Azure or GCP and modern application architectures
Deep knowledge of GenAI architecture patterns including retrieval‑augmented generation, agent frameworks, fine‑tuning and prompt engineering
Experience with vector databases, embeddings and semantic search
Strong capability in API design, integration patterns and enterprise system architecture
Familiarity with responsible AI principles, model governance and MLOps practices
Ability to influence through technical credibility and coach other architects
Excellent communication skills and the ability to translate between technical detail and business priorities
Strategic mindset with the ability to balance short‑term delivery with long‑term architectural vision

Job Responsibility

Lead a federated community of GenAI solution architects, creating a consistent approach to design while respecting local delivery needs
Review major solution designs, provide challenge where needed and ensure alignment with enterprise architecture principles and group technology strategy
Validate non‑functional requirements such as security, scalability, resilience and performance, and help teams manage technical debt effectively
Define and maintain standards, reference architectures and reusable patterns for GenAI, covering areas such as model selection, prompt engineering, RAG patterns, agent frameworks and documentation practices
Capture lessons learned through design reviews and post‑implementation assessments, helping drive continuous improvement
Build technical coherence through standardisation and reuse
Shape the approved GenAI technology stack, inform vendor strategy and guide technology decisions
Identify shared capabilities, reusable components and APIs that accelerate delivery across business units
Set integration standards for GenAI solutions, including data access, security, governance, hybrid LLM architectures, prompt management and observability
Maintain a catalogue of reusable patterns and accelerators that support a build once, use many approach

What we offer

33 days holiday (including bank holidays) when they join us, increasing the longer you stay with us, up to a maximum of 38 days (including bank holidays)
Option to buy or sell up to an additional five days of annual leave
Eligible for up to £3,600 of free shares each year after one year of service
Financial & Mortgage Advice
24-Hour Ecare
Cycle to Work Scheme
Flexible Working
Simply Health
Private Health Cover
Critical Illness Cover

Fulltime

Gen AI Engineer

Location

United States , Tampa, FL / Dallas TX

Salary:

143000.00 USD / Year

Realign

Expiration Date

Until further notice

Requirements

Strong experience with Python (mandatory)
exposure to Java/TypeScript is a plus
Hands-on experience with LLMs and GenAI frameworks (e.g., LangChain-style orchestration, agent frameworks)
Experience with Agentic AI concepts: planning, tool use, memory, multi-agent coordination
Experience with vector databases and semantic search
API integration and microservices architecture
Cloud platforms (Azure / AWS / GCP)
Understanding of NLP, deep learning, and transformer-based models
Experience with model evaluation, hallucination mitigation, and prompt optimization
Familiarity with Responsible AI, security, and data privacy principles

Job Responsibility

Design and implement GenAI solutions using LLMs for text, code, and knowledge-based use cases
Develop prompt engineering, prompt orchestration, and reusable prompt libraries
Fine-tune and evaluate LLMs for enterprise-specific tasks
Integrate GenAI capabilities into applications, APIs, and workflows
Design and implement agentic architectures (planner, executor, evaluator, memory)
Build multi-agent systems with task decomposition, tool usage, and feedback loops
Enable agents to interact with enterprise tools, APIs, databases, and knowledge stores
Implement agent memory, reasoning chains, and self-reflection mechanisms
Define end-to-end AI solution architecture (cloud, APIs, security, observability)
Implement Retrieval-Augmented Generation (RAG) with vector databases

Fulltime

GenAI Prompt Security Engineer

Citi

Location:
United Kingdom , Belfast

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
August 09, 2025

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