Senior AI Platform Engineering Specialist (Hybrid)

We are seeking someone to join our AI Development Platform (AIDP) team as a Senior AI Platform Engineering Specialist in Architecture and Modernization to help build a firmwide AI Development Platform and drive adoption of AI capabilities throughout the enterprise. The ideal candidate is a seasoned platform engineer with deep hands‑on experience building and operating large‑scale, cloud‑native platforms on Kubernetes, with strong expertise in API‑driven and REST‑based architectures, data‑intensive systems, and enterprise‑grade service platforms. They bring proven experience delivering Generative AI and LLM‑powered solutions, including agentic systems, orchestration frameworks, and evaluation or benchmarking pipelines, and are comfortable working across the full GenAI lifecycle—from development to production operations. This individual demonstrates a strong platform mindset, excels at building reusable and scalable capabilities, and is passionate about leveraging AI to accelerate developer productivity, improve platform quality, and drive meaningful product and technical innovation across the enterprise. 

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 Lead Data & Analytics Engineering position at Vice President level, which is part of the job family responsible for providing specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, and optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on…

What you’ll do in the role:

• Design and build a firmwide AI development and evaluation platform with a strong focus on enterprise-scale GenAI benchmarking, assurance, and governance.

• Develop self‑service tooling, SDKs, and APIs to enable teams to build, evaluate, and deploy GenAI applications efficiently and safely.

• Build reusable, scalable platform components for GenAI and agentic systems, including orchestration, evaluation pipelines, and model lifecycle workflows.

• Lead the implementation of container‑native GenAI workloads on Kubernetes / OpenShift using GitOps‑driven deployment patterns.

• Integrate and operate GenAI ecosystem components including LLMs, vector databases, embeddings, and agent frameworks.

• Drive key architecture, product, and design decisions across security, authentication, observability, scalability, and reliability.

• Establish platform best practices for GenAI evaluations, agentic systems, ModelOps / LLMOps, and production operations.

• Collaborate closely with engineers, data scientists, security, and product teams to accelerate safe enterprise adoption of GenAI.

What you’ll bring to the role:

• 8+ years of strong hands‑on software engineering experience, preferably in Python (FastAPI, Flask), building large‑scale, cloud‑native platforms.

• Deep experience designing and operating Kubernetes / OpenShift workloads using Helm, Customize, container registries, and GitOps practices.

• Hands‑on experience building GenAI and LLM‑based applications, including agentic orchestration, embeddings, evaluation workflows, and fine‑tuning.

• Strong understanding of microservices, RESTful API design, asynchronous and concurrent programming, and performance‑oriented systems.

• Solid foundation in data engineering principles including SQL/NoSQL stores, Kafka, Redis, vector databases, and state management at scale.

• Proficiency in DevOps, CI/CD, observability (OpenTelemetry, Prometheus, Grafana), and SRE‑inspired operational practices.

• Strong working knowledge of security‑first design, OAuth2, secure coding practices, and enterprise‑grade platform controls.

• Bachelor’s or master’s degree in computer science or a related field, or equivalent practical experience, with excellent communication and collaboration skills.

At Morgan Stanley Montreal, we support the Firm’s global businesses and infrastructure with cutting edge technology and innovation. The multi-faceted and highly technical Montreal team plays a critical role in building and maintaining our leading technology platform, including electronic trading, algorithm trading, cloud engineering, infrastructure, cybersecurity and AI/ML. Morgan Stanley has been rooted in the Montreal community since 2008 and is considered a leading employer among the area’s highly skilled technology talent. There’s ample opportunity to move across the businesses for those who show passion and grit in their work.

All our positions are located in Montreal, Quebec. We offer a hybrid work environment, combining remote work and attendance in the office.

Knowledge of French and English is required.

Build a career with impact. Visit morganstanley.com for more information.

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 https://www.morganstanley.com/about-us/global-offices​ into your browser.

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: https://www.morganstanley.com/people-opportunities/eeo.

We are seeking someone to join our AI Development Platform (AIDP) team as a Senior AI Platform Engineering Specialist in Architecture and Modernization to help build a firmwide AI Development Platform and drive adoption of AI capabilities throughout the enterprise. The ideal candidate is a seasoned platform engineer with deep hands‑on experience building and operating large‑scale, cloud‑native platforms on Kubernetes, with strong expertise in API‑driven and REST‑based architectures, data‑intensive systems, and enterprise‑grade service platforms. They bring proven experience delivering Generative AI and LLM‑powered solutions, including agentic systems, orchestration frameworks, and evaluation or benchmarking pipelines, and are comfortable working across the full GenAI lifecycle—from development to production operations. This individual demonstrates a strong platform mindset, excels at building reusable and scalable capabilities, and is passionate about leveraging AI to accelerate developer productivity, improve platform quality, and drive meaningful product and technical innovation across the enterprise. 

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 Lead Data & Analytics Engineering position at Vice President level, which is part of the job family responsible for providing specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, and optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on…

What you’ll do in the role:

• Design and build a firmwide AI development and evaluation platform with a strong focus on enterprise-scale GenAI benchmarking, assurance, and governance.

• Develop self‑service tooling, SDKs, and APIs to enable teams to build, evaluate, and deploy GenAI applications efficiently and safely.

• Build reusable, scalable platform components for GenAI and agentic systems, including orchestration, evaluation pipelines, and model lifecycle workflows.

• Lead the implementation of container‑native GenAI workloads on Kubernetes / OpenShift using GitOps‑driven deployment patterns.

• Integrate and operate GenAI ecosystem components including LLMs, vector databases, embeddings, and agent frameworks.

• Drive key architecture, product, and design decisions across security, authentication, observability, scalability, and reliability.

• Establish platform best practices for GenAI evaluations, agentic systems, ModelOps / LLMOps, and production operations.

• Collaborate closely with engineers, data scientists, security, and product teams to accelerate safe enterprise adoption of GenAI.

What you’ll bring to the role:

• 8+ years of strong hands‑on software engineering experience, preferably in Python (FastAPI, Flask), building large‑scale, cloud‑native platforms.

• Deep experience designing and operating Kubernetes / OpenShift workloads using Helm, Customize, container registries, and GitOps practices.

• Hands‑on experience building GenAI and LLM‑based applications, including agentic orchestration, embeddings, evaluation workflows, and fine‑tuning.

• Strong understanding of microservices, RESTful API design, asynchronous and concurrent programming, and performance‑oriented systems.

• Solid foundation in data engineering principles including SQL/NoSQL stores, Kafka, Redis, vector databases, and state management at scale.

• Proficiency in DevOps, CI/CD, observability (OpenTelemetry, Prometheus, Grafana), and SRE‑inspired operational practices.

• Strong working knowledge of security‑first design, OAuth2, secure coding practices, and enterprise‑grade platform controls.

• Bachelor’s or master’s degree in computer science or a related field, or equivalent practical experience, with excellent communication and collaboration skills.

At Morgan Stanley Montreal, we support the Firm’s global businesses and infrastructure with cutting edge technology and innovation. The multi-faceted and highly technical Montreal team plays a critical role in building and maintaining our leading technology platform, including electronic trading, algorithm trading, cloud engineering, infrastructure, cybersecurity and AI/ML. Morgan Stanley has been rooted in the Montreal community since 2008 and is considered a leading employer among the area’s highly skilled technology talent. There’s ample opportunity to move across the businesses for those who show passion and grit in their work.

All our positions are located in Montreal, Quebec. We offer a hybrid work environment, combining remote work and attendance in the office.

Knowledge of French and English is required.

Build a career with impact. Visit morganstanley.com for more information.

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 https://www.morganstanley.com/about-us/global-offices​ into your browser.

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: https://www.morganstanley.com/people-opportunities/eeo.