AI Senior Developer at Morgan Stanley

Glasgow, Scotland, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

11 Mar, 26

Salary

0.0

Posted On

11 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Development, Architecture Design, JavaScript, Java, TypeScript, Python, AI/ML Models, Financial Services, Transaction Processing, Risk Management, Data Security, Problem Solving, Statistical Analysis, Collaboration, LLM, RAG Pipelines, LangChain

Industry

Financial Services

Description

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. 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 LangChain is highly desirable. 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. 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. 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? Speak to our recruitment team to find out more. 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.

Responsibilities

Design, develop, and implement a scalable, AI-driven architecture platform while driving the adoption of AI Architect and best practices across development teams. Collaborate with architects and data scientists to integrate AI/ML models for improved decision-making.