Lead AI Cloud Engineer

Description

The company is a global provider of wealth management, asset servicing, asset management and banking services, serving individuals, families, corporations and institutions worldwide. Founded in 1889, it has more than 135 years of financial experience and over 24,000 partners, the company's term for employees.

The role sits within the Digital Coworkers and Generative AI Foundation Platform (GAI) teams and combines full stack development, cloud engineering, AI integration, platform engineering and enterprise delivery. You will build scalable, secure and governed AI-powered business solutions with cloud-native technology, large language models, enterprise APIs, workflow automation and Digital Coworker frameworks. You will work with AI engineers, cloud engineers, product managers, technical account managers, architects, scrum masters and business stakeholders to speed up AI adoption and deliver measurable business value.

The company works in a regulated environment and expects governance, controls and auditability to be built into its systems. Its work culture is flexible and collaborative, with an emphasis on an inclusive workplace.

Responsibilities

• Design and build full stack applications that support Digital Coworkers and GAI platform capabilities.
• Build web applications, APIs, microservices and enterprise integration services.
• Develop reusable software components for several AI-driven products and business areas.
• Create scalable user experiences that make enterprise AI and workflow automation easier to adopt.
• Take part in architecture reviews, code reviews and technical design discussions.
• Build AI-powered business solutions on the Generative AI Foundation Platform.
• Develop and support Digital Coworkers for Transfer Agency, Reconciliation, Omnium and future AI initiatives.
• Connect AI services, enterprise APIs, workflow orchestration platforms and cloud-native services.
• Support production deployment, monitoring, scalability, reliability and operational readiness.
• Work with AI engineers and platform teams to deliver enterprise-ready AI capabilities.
• Connect applications to large language models, retrieval augmented generation (RAG) solutions, AI agents and orchestration frameworks.
• Build enterprise AI integrations using approved AI services and platform capabilities.
• Support testing, deployment, monitoring, governance and operational readiness across the AI lifecycle.
• Contribute to responsible AI and enterprise AI governance work.
• Work with business and technology teams to find chances for AI-driven transformation.
• Design and deploy cloud-native solutions on Microsoft Azure.
• Write Infrastructure as Code (IaC) in Terraform and related automation tools.
• Build and maintain CI/CD pipelines for enterprise application delivery.
• Put monitoring, logging, resiliency and performance optimization in place.
• Apply secure, governed cloud engineering standards.
• Promote software engineering best practices, coding standards and reusable architecture patterns.
• Write technical documentation, deployment guides, operational runbooks and support procedures.
• Help improve engineering and delivery processes continuously.
• Work independently while collaborating across functions and organizations.

Requirements

• Bachelor's degree in computer science, information technology, engineering, software development or a related field. Equivalent professional experience will be considered.
• 7+ years of software engineering experience on enterprise applications.
• 5+ years of cloud engineering experience on Azure or a comparable cloud platform.
• Proven experience designing and building APIs, microservices and distributed systems.
• Experience building enterprise applications with modern software engineering practices.
• Strong experience working with engineering, architecture, operations, security and business teams.
• Strong written and verbal communication skills.
• Ability to work in a regulated enterprise setting with governance, controls, auditability and operational readiness expectations.
• Experience working independently while managing several priorities and deliverables.
• Relevant knowledge of full stack development, cloud engineering, Azure services, Terraform, CI/CD, distributed systems, microservices, API development, AI and ML concepts, LLMs, RAG, AI agents, vector databases, prompt engineering, Digital Coworkers, workflow automation, platform integrations, and enterprise security and controls.
• Familiarity with tools such as Azure DevOps, GitHub, Jira, Confluence, Microsoft Teams, ServiceNow, Terraform, Power BI, CI/CD pipelines, monitoring platforms, release management tools, API management platforms and operational support tooling.
• Preferred: experience supporting enterprise AI platforms and AI-enabled business solutions.
• Preferred: experience building AI-powered applications with Microsoft AI services.
• Preferred: experience supporting Digital Coworkers, intelligent automation platforms or workflow orchestration solutions.
• Preferred: experience integrating Azure OpenAI, Copilot technologies, AI services or agentic AI solutions.
• Preferred: experience in financial services or another regulated industry.
• Preferred: familiarity with enterprise AI governance, Responsible AI, model lifecycle management and operational controls.
• Preferred: experience supporting globally distributed engineering teams.
• Preferred: experience with Snowflake, Databricks, vector databases and enterprise integration platforms.
• Preferred: experience integrating with ServiceNow, identity management systems and operational support processes.
• Leadership strengths: technical curiosity and continuous learning, executive presence and concise communication, systems thinking and an architectural mindset, collaboration across business and technology, problem solving and analytical thinking, innovation and creative solutions, ownership and accountability, influencing without authority, engineering excellence and quality focus, and delivery discipline with operational readiness.

Conditions

Base pay range: $137,400 - 233,600 USD. This is a good faith estimate of base pay.

You must be authorized to work in the U.S. now and in the future without employment-based visa sponsorship. The company will not sponsor U.S. work visas for this role, including H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa.

The company is an equal opportunity employer and considers applicants without regard to protected characteristics.

Benefits

• Retirement benefits, including a 401k and a pension.
• Health and welfare benefits: medical, dental, vision, spending accounts and disability cover.
• Paid time off, parental and caregiver leave, life and accident insurance, and other voluntary and well-being benefits.
• A discretionary bonus program that may include an equity component.
• Opportunities to volunteer for community causes, as the company has a long history of philanthropy.