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JobsMorgan Stanley

AI Senior Developer

Morgan Stanley

AI Senior Developer

Morgan Stanley

Glasgow, United Kingdom

·

On-site

·

Full-time

·

2mo ago

Benefits & Perks

Flexible Hours

Remote Work

Flexible Hours

Remote Work

Required Skills

JavaScript

Java

TypeScript

Python

Systems Architecture

Problem-solving

AI Senior Developer GlasgowJR016104

Morgan Stanley’s Enterprise Architecture team is looking for a skilled and experienced Developer to join our architecture delivery team. This role focuses on building AI Architect empowering architects and developers in making informed, data-driven decisions, automating repetitive architecture tasks, and streamlining documentation workflows.

Key Responsibilities:

  • Design, develop, and implement a scalable, AI-driven architecture platform.
  • Drive the adoption of AI Architect and best practices across the development teams, ensuring consistency and alignment with enterprise standards.
  • Work closely with architects and data scientists to embed AI/ML models into the system for enhanced decision-making, such as recommendation engines.
  • Participate in and lead architecture communities of practice to foster knowledge-sharing and innovation within the organization.
  • Stay updated on the latest architecture and technology trends relevant to financial services, such as cloud computing, data security, AI, and distributed systems.

Skills Requirements:

  • 7 years of hands-on experience in at least one of the following: JavaScript, Java, TypeScript, or Python
  • End-to-end Systems Development: Proven ability to architect and build complex systems with a long-term vision
  • Expertise in financial services applications, including knowledge of transaction processing, risk management, and data security.
  • Excellent communication skills, with the ability to present complex architectural ideas to diverse stakeholders.
  • Strong problem-solving and critical thinking skills, with a track record of innovative solution design in complex environments.
  • Understanding of experimental design, statistical analysis, and data-driven decision making. Proficiency in collaborating with data scientists to translate advanced models into scalable production code
  • Experience with LLM, Retrieval-Augmented Generation (RAG) pipelines, and orchestration frameworks like Lang Chain is highly desirable.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 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 https://www.morganstanley.com/about-us/global-offices​ into your browser.

Certified Persons Regulatory Requirements:

If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.

Flexible work statement

Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

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About Morgan Stanley

Morgan Stanley

A financial services company that offers securities, asset management, and credit services.

10,001+

Employees

New York

Headquarters

Reviews

3.5

4 reviews

Work Life Balance

3.0

Compensation

2.5

Culture

3.2

Career

3.0

Management

3.0

35%

Recommend to a Friend

Pros

Skills evaluation through business plans and projects

Direct access to senior leadership interviews

Conversational interview format

Cons

Automated resume screening system issues

Focus on formatting over qualifications

Compensation concerns and salary expectations

Salary Ranges

11,766 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analyst

1,682 reports

$114,371

total / year

Base

$96,366

Stock

-

Bonus

$18,005

$77,808

$170,800

Interview Experience

6 interviews

Difficulty

3.0

/ 5

Duration

21-35 weeks

Experience

Positive 16%

Neutral 84%

Negative 0%

Interview Process

1

Initial screening (HR/HireVue)

2

Technical rounds

3

Manager/Senior leadership interviews

4

Final round/Superday

Common Questions

Technical knowledge assessment

Behavioral questions

Role-specific scenarios

Leadership and teamwork examples