Consultant conversion VP, Lead Software Eng

Our mission is to develop a firmwide Artificial Intelligence (AI) Development Platform that aligns with the firms Technology principles and drives efficiency and consistency controls security and strong governance and promotes innovation enabling teams to build applications that leverage AI capabilities and accelerate the adoption of AI across our businesses.

This role is for a platform engineering specialist who will help build a firmwide AI Development Platform and drive adoption of AI capabilities throughout the enterprise. We have multiple focus areas across the platform and are looking for energetic multi-disciplinary candidates who are eager to contribute to providing scalable secure enterprise-wide solutions for the firm.

The ideal candidate will have strong hands-on experience building software platforms on any combination of the following platforms - Kubernetes Cloud (AWS Azure and/or Google) API based development REST framework data engineering and large-scale API Gateway environments etc. Knowledge of AIML and hands-on experience implementing solutions using Generative AI are also preferable. The candidate will have great communication skills a team-based mentality and a strong passion for using AI to increase productivity as well as help generate new ideas for product & technical improvements.

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.

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.

What youll do in the role:

Below is a sample of potential responsibilities depending on product / focus area

> Develop tooling and self-service capabilities for deploying AI solutions for the firm leveraging Kubernetes/OpenShift Python authentication solutions APIs REST framework etc
> Develop Terraform modules and Cloud architecture to enable secure AI cloud service deployment and consumption at scale
> Have a platform mindset and build common reusable solutions to scale Generative AI use cases using pre-trained models as well as fine-tuned models.
> Leverage Kubernetes/OpenShift to develop modern containerized workloads
> Integrate with capabilities such as large-scale vector stores for embeddings.
> Author best practices on the Generative AI ecosystem when to use which tools available models such as GPT Llama Hugging Face etc. and libraries such as Langchain.
> Analyze investigate and implement GenAI solutions focusing on Agentic Orchestration and Agent Builder frameworks.
> Author and publish architecture decision records to capture major design decisions and product selection for building Generative AI solutions. Inclusive of app authentication service communication state externalization container layering strategy and immutability.
> Ensure AI platform are reliable scalable and operational; (e.g. blueprints for upgrade/release strategies (E.g. Blue/Green); logging/monitoring/metrics; automation of system management tasks)
> Participate in all teams Agile/ Scrum ceremonies.
> Participate in teams oncall rotation in build/run team model What youll bring to the role:

> Bachelors or Masters degree in Computer Science or related field or equivalent job experience
> 5 years of experience in software engineering design and development
> Strong hands-on Application Development background in at least one prominent programming language preferably Python Flask or FAST Api.
> Broad understanding of data engineering (SQL NoSQL Big Data Kafka Redis) data governance data privacy and security.
> Experience in development management and deployment of Kubernetes workloads preferably on OpenShift.
> Experience with designing developing and managing RESTful services for large-scale enterprise solutions.
> Experience deploying applications on Azure AWS and/or GCP using IaC (Terraform)
> Hands-on experience with multiprocessing multithreading asynchronous I/O performance profiling in at least one prominent programming language preferably python.
> Ability to articulate technical concepts effectively to diverse audiences.
> Excellent communication skills.
> Demonstrated ability to work effectively and collaboratively in a global organization across time zones and across organizations
> Demonstrated experience in DevOps understanding of CI/CD (Jenkins) and GitOps.
> Knowledge of DevOps and Agile practices.
Nice to have
> Practitioner of unit testing performance testing and BDD/acceptance testing.
> Understanding of OAuth 2.0 protocol for secure authorization.
> Proficiency with Open Telemetry tools including Grafana Loki Prometheus and Cortex.
> Good knowledge of Microservice based architecture industry standards for both public and private cloud.
> Good understanding of modern Application configuration techniques.
> Hands on experience with Cloud Application Deployment patterns like Blue/Green.
> Good understanding of State sharing between scalable cloud components (Kafka dynamic distributed caching).
> Good knowledge of various DB engines (SQL Redis Kafka etc) for cloud app storage.
> Experience building AI applications preferably Generative AI and LLM based apps.
> Deep understanding of AI agents Agentic Orchestration Multi-Agent Workflow Automation along with hands-on experience in Agent Builder frameworks such Lang Chain and Lang Graph.
> Experience working with Generative AI development embeddings fine tuning of Generative AI models.
> Understanding of ModelOps/ ML Ops/ LLM Op.
> Understanding of SRE techniques.
What you can expect from Morgan Stanley:
We have a track record of innovation and passion for unlocking new opportunities we help our clients raise manage and allocate capital. We do this by offering a wide range of investment banking securities wealth management and asset management services.
All that we do at Morgan Stanley is driven by our five core values: do the right thing put clients first lead with exceptional ideas commit to diversity and inclusion and give back. These arent just beliefs they guide the decisions we make every day ensuring we do whats best for our clients communities and more than 80000 employees around the world. And at the core of our success are the people who drive it - relentless collaborators and creative thinkers who are fueled by diverse thinking and experiences.
Wherever you are in our 1200 global offices youll have the opportunity to work alongside the best and the brightest in an environment where you are empowered to achieve your full potential. 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.
At Morgan Stanley Montreal we support the Firms 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 data a

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 thats differentiated and weve 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 - arent just beliefs they guide the decisions we make every day to do whats best for our clients communities and more than 80000 employees in 1200 offices across 42 countries. At Morgan Stanley youll 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. Theres also ample opportunity to move about the business for those who show passion and grit in their work.

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Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential.