Cloud , Data and AI Solution Architect, Assistant Vice President Statestreet · Kilkenny · Cloud Pay not stated 5w ago

Devopsroles; Kilkenny; Remote; EUR 110,000 - 160,000; Full time

Benefits offered by this job

Flexible Work Program

Paid volunteer days

Job summary

State Street is seeking an AVP-level Cloud/Data/AI Solution Architect to design scalable, secure architectures across AWS, data platforms, and AI domains. You will shape GenAI and RAG-enabled products, collaborate with cybersecurity, risk, and governance teams, and produce architecture artifacts to guide engineering execution.

You will partner with data engineering and analytics to ensure scalable data ingestion, governance, and consumption, while embedding secure-by-design principles and

Qualifications

• Degree or equivalent professional experience in computer science, engineering, information systems, data science, cybersecurity, or related discipline.
• Mid-level experience designing or delivering cloud, data, analytics, cybersecurity, or AI-enabled solutions in an enterprise.
• Strong knowledge of AWS architecture concepts including security, data services, identity, and resiliency.
• Understanding modern data architecture, pipelines, governance, lineage, and governed consumption.
• Knowledge of GenAI, LLM design, RAG, vector search, agentic workflows, and responsible AI.
• Ability to embed secure-by-design principles, logging, monitoring, and risk considerations into designs.
• Excellent communication to explain options, risks, and recommendations to engineers and stakeholders.

Responsibilities

• Design end-to-end solution architectures integrating AWS, data platforms, AI capabilities, and security controls.
• Translate requirements into architecture patterns, roadmaps, and implementation guidance.
• Develop GenAI and LLM-based product approaches including RAG and agentic workflows.
• Collaborate with data engineering to design scalable ingestion, transformation, governance, and metadata patterns.
• Embed cybersecurity requirements into designs: access controls, logging, data protection.
• Create architecture artifacts: diagrams, data flows, and decision records for governance.
• Support delivery teams with design reviews, POCs, and transition to engineering.
• Contribute to enterprise standards and reusable architecture patterns.

Skills

Cloud architecture

GenAI & LLM patterns

Data platforms

Cybersecurity by design

Architecture governance

Cross-functional collaboration

Strong communication

Education

Bachelor’s degree in Computer Science or related field

Tools

AWS cloud services

LLM platforms

Vector databases

Semantic search

APIs & integration patterns

Job description

Job Title: GCS, Cloud / Data / AI Solution Architect

Who we are looking for

We are seeking an Assistant Vice President (AVP), Cloud / Data / AI Solution Architect to design scalable, secure, and business-aligned solutions across AWS cloud, data, cybersecurity, and advanced AI domains. This role will shape architectures that leverage GenAI, large language models, retrieval-augmented generation (RAG), agentic workflows, and AI orchestration patterns. The ideal candidate combines hands‑on technical depth with strong architecture judgment and the ability to collaborate across engineering, cybersecurity, data, risk, and business stakeholders.

Why This Role is important to us

Cybersecurity teams increasingly rely on high‑quality data, analytical models, and AI‑enabled insights to prioritize risk, detect emerging issues, and respond effectively. This Data Scientist role strengthens the organization’s ability to transform cybersecurity telemetry and operational data into predictive, explainable, and actionable intelligence. The role will help improve decision‑making across security operations, risk management, vulnerability prioritization, threat detection, and enterprise cybersecurity reporting.

What you will be responsible for

Key Responsibilities

• Design end‑to‑end solution architectures that integrate AWS cloud services, enterprise data platforms, application services, AI capabilities, cybersecurity controls, and operational workflows.
• Translate business, technology, cyber, and data requirements into practical architecture patterns, reference designs, technical roadmaps, and implementation guidance.
• Develop solution approaches for GenAI and LLM‑enabled products, including RAG patterns, prompt and context strategies, knowledge retrieval, agentic workflows, AI orchestration, and human‑in‑the‑loop operating models.
• Partner with data engineering and analytics teams to design scalable data ingestion, transformation, governance, metadata, lineage, and consumption patterns that support AI and enterprise analytics use cases.
• Collaborate with cybersecurity, risk, and control teams to embed secure‑by‑design principles, identity and access controls, logging, monitoring, data protection, and responsible AI considerations into solution designs.
• Create architecture artifacts such as conceptual diagrams, logical designs, integration patterns, data flows, sequence views, decision records, and executive‑ready solution summaries.
• Evaluate technology options,identifytrade-offs, and recommend architecture choices that balance scalability, cost, resiliency, security, maintainability, adoption, and time‑to‑value.
• Support delivery teams through design reviews, technical problem solving, proof‑of‑concept development, implementation planning, and transition from architecture into engineering execution.
• Contribute to enterprise standards, reusable patterns, architecture guardrails, and governance practices for cloud, data, and AI‑enabled solutions.

Education & Preferred Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, Cybersecurity, or a related discipline; equivalent professional experience may be considered.
• Mid‑level professional experience designing or delivering cloud, data, application, analytics, cybersecurity, or AI‑enabled technology solutions in an enterprise environment.
• Strong working knowledge of AWS architecture concepts, including cloud‑native services, networking, security, identity, data services, application integration, resiliency, and operational best practices.
• Practical understanding of modern data architecture and engineering concepts, including data pipelines, data modeling, batch and streaming patterns, metadata, data quality, lineage, and governed data consumption.
• Knowledge of GenAI and AI solution patterns, including LLM application design, RAG, vector search concepts, agentic workflows, orchestration patterns, evaluation considerations, and responsible AI principles.
• Ability to incorporate cybersecurity and risk requirements into technical designs, including secure access, encryption, auditability, logging, monitoring, vulnerability considerations, and control alignment.
• Strong communicationskills with the ability to explain architecture options, risks, assumptions, and recommendations to engineering teams, product owners, senior stakeholders, and governance forums.
• Experience creating clear architecture documentation, diagrams, technical narratives, implementation guidance, and decision records.

Preferred Skills and Experience

• Experience architecting AI‑assisted workflows, enterprise copilots, intelligent automation, cyber analytics solutions, or data‑driven decision platforms.
• Hands‑on exposure to LLM platforms, model APIs, embedding models, vector databases, semantic search, knowledge grounding, workflow orchestration, or agent frameworks.
• Experience with enterprise integration patterns such as APIs, event‑driven architecture, messaging, workflow platforms, identity federation, and service‑oriented design.
• Familiarity with cybersecurity operations, vulnerability management, security analytics, SOC workflows, cloud security posture, or cyber risk reporting use cases.
• Experience with architecture governance, design review boards, solution assurance, reference architectures, technical standards, and reusable architecture patterns.
• Exposure tomodern analytics, BI, or visualization platforms and the ability to design solutions that support both technical users and executive decision‑makers.
• Relevant AWS, architecture, cybersecurity, data engineering, or AI certifications are beneficial but notrequired.

Technical Skill

Cloud Architecture

AI / GenAI

Data Platforms

Cybersecurity

Integration & Governance

AWS services, resiliency, networking, security, cost‑aware design

LLMs, RAG, agentic workflows, AI orchestration, responsible AI

Pipelines, modeling, lineage, metadata, governed consumption

Secure‑by‑design, identity, logging, monitoring, controls

APIs, events, workflows, architecture standards, decision records

Cloud‑native reference patterns and solution trade‑offs

Prompt/context design, retrieval, evaluation, human‑in‑the‑loop patterns

Batch/streaming concepts, quality checks, reusable data products

Cyber analytics,vulnerabilityand risk‑aware design

Cross‑functional collaboration, governance forums, delivery enablement

About State Street

State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation we’re making our mark on the financial services industry. For more than two centuries, we’ve been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients. Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary in locations, but you may expect generous medical care, insurance and savings plans among other perks. You’ll have access to flexible Work Program to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential. Inclusion, Diversity and Social Responsibility. We truly believe our employees’ diverse backgrounds, experiences and perspective are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome the candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift program and access to employee networks that help you stay connected to what matters to you.

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work‑life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

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