Job description

We are seeking a AI Developer to design, build and support practical AI-enabled solutions across enterprise technology use cases. The role combines software engineering, GenAI development, data integration and responsible AI delivery. The successful candidate will work with engineering, data, platform, security and business stakeholders to turn requirements into maintainable solutions that improve productivity, automation and decision-making. In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Cyber Security Operations position at Director level, which is part of the job family responsible for monitoring, detecting, and responding to security incidents to ensure the organization's systems and data are protected from actual and potential threats or breaches. Morgan Stanley Since 1935, Morgan Stanley is known as a global leader in financial services, continuously evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. What you'll do in the role: • Design, develop and support AI-powered applications, agents and workflow automations using approved Firm platforms and services. • Build Generative AI solutions using LLMs, prompt design, retrieval-based patterns and enterprise data sources. • Develop Python services, APIs, integrations and reusable components to support AI use cases. • Participate in the full Software Delivery Lifecycle, including design, coding, testing, deployment, documentation and support. • Collaborate with stakeholders across Technology, data, security, platform and business teams to understand requirements and deliver fit-for-purpose solutions. • Evaluate AI outputs and contribute to improvements in quality, reliability, usability and operational performance. • Support secure engineering practices, governance reviews, monitoring, risk controls and operational readiness for AI-enabled applications. • Identify opportunities to use AI responsibly to simplify processes, automate repeatable activity and improve developer or user productivity. What you'll bring to the role: • Bachelor degree in Computer Science, Software Engineering, Data Science or a related field, or equivalent practical experience. • Experience in software development, preferably with Python and one or more additional languages. • Understanding of software engineering best practices, SDLC processes, source control, automated testing and code review standards. • Working knowledge of Large Language Models, Generative AI concepts, prompt engineering and AI-assisted development tools. • Experience building or integrating APIs, backend services, data pipelines or enterprise applications. • Awareness of retrieval augmented generation, vector search, agentic AI patterns or AI orchestration frameworks is an advantage. • Understanding of secure development, data handling, privacy, risk and governance considerations for enterprise AI solutions. • Strong analytical thinking, attention to detail and ability to troubleshoot technical issues independently. • Ability to communicate clearly with technical and non-technical stakeholders in a globally distributed organization. • Experience in financial services, cybersecurity, data analytics, cloud platforms or enterprise AI platforms is advantageous but not required. Additional Context: The role is intended for a practical engineer who can identify where AI genuinely adds value, build useful and maintainable solutions, and operate within Firm standards for security, governance and responsible technology delivery. WHAT YOU CAN EXPECT FROM MORGAN STANLEY: At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste morganstanley.com into your browser. Salary range for the position: $85,000 and $150,000 per year. The successful candidate may be eligible for an annual discretionary incentive compensation award. The successful candidate may be eligible to participate in the relevant business unit’s incentive compensation plan, which also may include a discretionary bonus component. Morgan Stanley offers a full spectrum of benefits, including Medical, Prescription Drug, Dental, Vision, Health Savings Account, Dependent Day Care Savings Account, Life Insurance, Disability and Other Insurance Plans, Paid Time Off (including Sick Leave consistent with state and local law, Parental Leave and 20 Vacation Days annually), 10 Paid Holidays, 401(k), and Short/Long Term Disability, in addition to other special perks reserved for our employees. Please visit mybenefits.morganstanley.com to learn more about our benefit offerings. Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents. Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences. For more information, please visit : morganstanley.com .

Requirements

Must-haves

Morgan Stanley
Since 1935, Morgan Stanley is known as a global leader in financial services, continuously evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
Design, develop and support AI-powered applications, agents and workflow automations using approved Firm platforms and services.
Build Generative AI solutions using LLMs, prompt design, retrieval-based patterns and enterprise data sources.
Develop Python services, APIs, integrations and reusable components to support AI use cases.
Participate in the full Software Delivery Lifecycle, including design, coding, testing, deployment, documentation and support.
Collaborate with stakeholders across Technology, data, security, platform and business teams to understand requirements and deliver fit-for-purpose solutions.
Evaluate AI outputs and contribute to improvements in quality, reliability, usability and operational performance.
Support secure engineering practices, governance reviews, monitoring, risk controls and operational readiness for AI-enabled applications.
Identify opportunities to use AI responsibly to simplify processes, automate repeatable activity and improve developer or user productivity.
Bachelor degree in Computer Science, Software Engineering, Data Science or a related field, or equivalent practical experience.
Experience in software development, preferably with Python and one or more additional languages.
Understanding of software engineering best practices, SDLC processes, source control, automated testing and code review standards.
Working knowledge of Large Language Models, Generative AI concepts, prompt engineering and AI-assisted development tools.
Experience building or integrating APIs, backend services, data pipelines or enterprise applications.
Awareness of retrieval augmented generation, vector search, agentic AI patterns or AI orchestration frameworks is an advantage.
Understanding of secure development, data handling, privacy, risk and governance considerations for enterprise AI solutions.
Strong analytical thinking, attention to detail and ability to troubleshoot technical issues independently.
Ability to communicate clearly with technical and non-technical stakeholders in a globally distributed organization.
Experience in financial services, cybersecurity, data analytics, cloud platforms or enterprise AI platforms is advantageous but not required.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

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aipython

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave