Job Description
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 LangChain 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.
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 LangChain 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.
💡 Quick Summary
Seeking a career-building opportunity? The AI Senior Developer - VP position is now open for candidates interested in the Bank Jobs sector. This role in Glasgow offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Bank Jobs is a plus.