Wellington Management offers comprehensive investment management capabilities that span nearly all segments of the global capital markets. Our investment solutions tailored to the unique return and risk objectives of institutional clients in more than 60 countries draw on a robust body of proprietary research and a collaborative culture that encourages independent thought and healthy debate. As a private partnership we believe our ownership structure fosters a long-term view that aligns our perspectives with those of our clients.
Were seeking a hands-on engineer to help build and support infrastructure for our Generative AI (GenAI) enablement initiative. This role will initially focus on developing the centralized Model Context Protocol (MCP) server and contributing to the buildout of the AI Gatewaycore components of our GenAI infrastructure. Youll work closely with the Platform Engineering team which provides the foundational platform services and collaborate daily with the GenAI guild to support adoption and experimentation. This is not an AI modeling or research role but a pragmatic full-stack DevOps engineering position focused on infrastructure tooling and enablement.
This position requires a high level of collaboration and interaction with technology teams across the department and an ability to deliver in a fast-paced and evolving environment. The individual must be a self-starter with the ability to multi-task and work on a variety of assignments with people at all levels of the organization.
Contribute to evolving GenAI infrastructure components such as centralized MCP server agent orchestration frameworks AI Gateway prompt engineering utilities/toolchains etc.
Work with the GenAI guild to identify practical use cases for GenAI tools support onboarding sessions office hours internal demos contribute to shared documentation FAQs and enablement playbooks.
Partner with the Platform Engineering team to build out the centralized GenAI infrastructure.
Assist engineering teams in experimenting with GenAI tools and environments.
Troubleshoot integration issues and support early adopters.
Own and maintain lightweight applications that demonstrate GenAI tool usage.
Use Python and scripting tools to automate configuration deployment and monitoring tasks.
Provide feedback to platform and strategy teams on tool performance developer experience and adoption blockers.
Keys to the Position
DevOps Engineering Expertise: Proven experience in aDevOps-style rolefocused on infrastructure tooling and enablementideally supporting emerging technologies like Generative AI. Python Proficiency: Strong hands-on experience withPythonfor scripting automation and lightweight application development. Cloud Infrastructure Knowledge: Familiarity withAWS services(e.g. EC2 IAM CloudFormation) andSSO integration; able to contribute to decisions around authentication hosting and deployment architecture. Platform Enablement Mindset: Demonstrated ability to build centralized infrastructure and reusable components (e.g. MCP server AI Gateway) that accelerate development across multiple teams. Collaboration & Communication: Excellent interpersonal and communication skills; comfortable working cross-functionally with platform teams engineering guilds and early adopters to support onboarding troubleshooting and enablement. Standardization & Scalability Focus: Passion for creating standardized secure and scalable solutions that reduce duplication and improve developer experience across the organization. GenAI Exposure (Nice to Have): Familiarity with GenAI tools or IDE integrations (e.g. GitHub Copilot) and experience supporting developer experimentation and adoption. Location Flexibility: Preferred location isBostonorNeedham with flexibility depending on candidate fit and team needs. NYC will work as well.
Experience with Python and basic full-stack development.
Familiarity with AWS services (EC2 IAM CloudFormation) and SSO integration.
Comfortable working in a DevOps-style role focused on infrastructure and tooling.
Strong communication skills and a collaborative mindset.
Ability to work effectively in a fast-evolving environment with emerging technologies.
Exposure to GenAI platforms or IDE integrations (e.g. GitHub Copilot).
Experience working with enablement or developer experience teams.
Familiarity with MCP or other GenAI solutions and platforms.
Not sure you meet 100% of our qualifications Thats ok. If you believe that you could excel in this role we encourage you to apply and welcome a chance to review your background. We are dedicated to building and maintaining a diversified workforce and considering a broad array of candidates with a variety of skill workplace experiences and backgrounds.
As an equal opportunity employer Wellington Management ensures that all qualified applicants will receive equal consideration for employment without regard to race color sex sexual orientation gender identity gender expression religion creed national origin age ancestry disability (physical or mental) medical condition citizenship marital status pregnancy veteran or military status genetic information or any other characteristic protected by applicable law. If you are a candidate with a disability or are assisting a candidate with a disability and require an accommodation to apply for one of our jobs please email us at .
At Wellington Management our approach to compensation is designed to help us attract inspire and retain the best talent in our strive to pay employees fairly and competitively across all levels and roles. Our approach to compensation considers all aspects of total compensation; all employees are eligible to receive salary variable compensation and benefits. The base salary range for this position is:
USD 80000 - 180000This range takes into account the wide range of factors that are considered when making compensation decisions including but not limited to skill sets; role; skills and experience; certifications; and education. This range is an estimate and further details on salary and total compensation aspects will be shared with candidates during the recruitment process.
Base salaryis only one component of Wellingtons total compensation approach. Other rewards may include a discretionary Corporate Bonus and/ or Incentives if eligible. In addition we offer a comprehensive and high value benefit package to meet the unique needs of our employees and their families and we are committed to fostering a flexible work environment that enables employees to thrive personally and professionally. Examples of our benefits include retirement plan health and wellbeing dental vision and pharmacy coverage health savings account flexible spending accounts and commuter program employee assistance program life and disability insurance adoption assistance back-up childcare tuition/CFA reimbursement and paid time off (leave of absencepaid holidays volunteer sick and vacation time)
We believe that in person interactions inspire and energize our community and are essential to our support of this commitment our employees work from our offices 4 days a week with flexibility to work remotely 1 day a week. We believe that this approach ultimately supports our mission to deliver investment excellence to our clients and their beneficiaries over the long term.
Required Experience:
Senior IC
If Napoleon had met this Wellington, Waterloo would have taken on a whole new meaning: sound asset management. Wellington Management oversees investments for more than 2,000 institutional clients in some 50 countries. It has approximately $620 billion of assets under management. Clien ... View more