Solutions Architect

Job Description

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting‑edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Key Responsibilities

Architecture Leadership

• Define and evolve platform architecture strategy for applications and services supporting Custody, Wealth, and Asset Management capabilities.
• Translate business priorities, operating model objectives, and regulatory requirements into scalable architecture roadmaps.
• Produce architecture blueprints, target‑state designs, integration patterns, and modernization strategies.
• Ensure alignment to enterprise architecture principles, security standards, resiliency expectations, and engineering best practices.
• Lead architecture reviews and provide technical governance across solution design, delivery, and platform evolution.

Domain & Business Alignment

• Partner with business and product stakeholders to understand workflows, operating models, pain points, and transformation opportunities across:
• Custody operations and servicing
• Asset servicing
• Portfolio administration
• Wealth platforms and advisory capabilities
• Asset management data and investment workflows
• Client reporting, accounting, reconciliation, and operational controls
• Apply domain understanding to improve platform design, data flow, interoperability, and operational efficiency.
• Support simplification and modernization of legacy workflows and platforms in highly controlled financial environments.

Hands‑On Technical Delivery

• Remain actively involved in engineering and solution delivery, including prototyping, design validation, code reviews, technical troubleshooting, and implementation guidance.
• Work with engineering teams on API design, system integration, event‑driven architecture, data patterns, cloud deployment models, and observability.
• Contribute to reference implementations, proof of concepts, and reusable architecture patterns.
• Help teams solve complex production, performance, scalability, and integration issues.
• Cloud, Data, and AI Enablement

Cloud, Data, and AI Enablement

• Design and support deployment of applications and platforms on Azure and/or AWS.
• Drive adoption of cloud‑native services, containerization, infrastructure automation, and resilient distributed architecture patterns.
• Partner with data teams to design robust data architecture, data pipelines, metadata strategies, and analytics‑ready platforms.
• Identify and shape use cases for AI/GenAI capabilities, including knowledge retrieval, intelligent workflow support, summarization, classification, and operational productivity improvements.
• Ensure AI‑enabled solutions are practical, governed, secure, and aligned to enterprise standards.

Engineering Excellence & Modernization

• Champion engineering excellence including automation, CI/CD, testing, reliability, security‑by‑design, and performance optimization.
• Drive modernization of legacy applications into modular, API‑led, event‑enabled, and cloud‑compatible platforms.
• Promote best practices in software design, observability, resiliency, release management, and operational readiness.
• Collaborate with platform, infrastructure, security, and SRE teams to enable stable and scalable production ecosystems.

Collaboration & Influence

• Work cross‑functionally with architects, engineers, platform leads, data teams, cyber/security teams, and business leaders.
• Communicate architecture decisions clearly to both technical and non‑technical audiences.
• Mentor engineers and junior architects, raising technical capability across teams.
• Influence strategic technology decisions through expertise, credibility, and delivery focus.

Required Technical Skills

Core Architecture & Engineering

• Strong experience in platform architecture, solution architecture, and distributed systems design.
• Proven ability to design and deliver microservices and service‑oriented architectures, event‑driven systems, API‑first platforms, high‑availability and resilient systems, scalable batch and real‑time processing solutions.
• Deep understanding of integration patterns, application decomposition, and modernization approaches.
• Strong software engineering background with ability to engage in hands‑on technical work.

Cloud

• Hands‑on experience with Azure and/or AWS, including compute, storage, networking, and managed services, cloud‑native application design, Kubernetes/container platforms, infrastructure as Code, deployment automation, security and identity integration, cost, resilience, and operational design considerations.

Data

• Strong understanding of data architecture and engineering patterns.
• Experience with data modeling, data integration and transformation pipelines, metadata and lineage concepts, data quality and governance considerations, analytical and operational data use cases.
• Ability to architect platforms that support both transactional and analytical workloads.

AI / GenAI

• Practical exposure to AI and GenAI, such as integrating AI/ML or GenAI capabilities into enterprise workflows, retrieval‑augmented generation or knowledge retrieval patterns, LLM‑enabled search, summarization, classification, or assistant use cases.
• Responsible AI, model governance, and secure enterprise adoption considerations.
• Working with structured and unstructured data to support intelligent applications.

Required Experience

• 15+ years in architecture and engineering roles within financial services or similarly complex regulated industries.
• Demonstrated experience delivering technology solutions in Custody, Wealth, and/or Asset Management.
• Track record of leading architecture for complex enterprise platforms and transformation initiatives.
• Experience balancing strategic design with practical implementation detail.
• Experience working in Agile/product‑centric delivery environments.
• Strong stakeholder engagement skills across business, operations, and technology teams.

Education

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related discipline.
• Advanced degree preferred but not required.

Benefits

• Highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and a pay‑for‑performance philosophy.
• Access to flexible global resources and tools for life’s journey.
• Focus on health, personal resilience, and financial goals as a valued team member.
• Generous paid leaves, including paid volunteer time.

BNY is an Equal Employment Opportunity/Affirmative Action Employer — Underrepresented racial and ethnic groups, Females, Individuals with Disabilities, Protected Veterans.

Base salary for this position is expected to be between $136,500 and $275,000 per year at the commencement of employment. Additional compensation may include commission earnings, discretionary bonuses, short‑ and long‑term incentive packages, and company‑sponsored benefit programs. This position is at‑will, and the Company reserves the right to modify base and any other discretionary payment or compensation at any time.