AI Solution Architect designing Azure - based agentic and machine learning solutions for a Canadian financial institution. Translating business requirements into secure, scalable cloud architectures.
About the role
- AI Cloud Solution Engineering Specialist developing generative AI solutions at Morgan Stanley in Montreal. Collaborating with teams to enhance cloud services and improve developer experience.
Responsibilities
- Build POC’s and example code through which developers can access Gen AI models via standard APIs.
- Collaborate with other engineers and teams to onboard new cloud services to Morgan Stanley
- Architect new cloud solutions for new use cases consistent with Morgan Stanley security standards.
- Have an application developer mindset and build common, reusable solutions to scale generative AI use cases.
- Contribute to major design decisions and product selection for building generative AI solutions.
- Develop tooling and self-service capabilities for deploying AI solutions.
- Collaborate with developers to enhance the developer’s experience when building and deploying AI applications.
- Document best practices on generative AI ecosystems, when to use which tools, available models such as GPT, Llama, Claude, etc. and libraries such as Langchain and Sematic Kernel.
Requirements
- At least 4+ years of experience in enterprise software engineering, design, and development
- At least 4+ years of experience implementing enterprise architecture in at least one major cloud provider (Azure, AWS, GCP).
- Bachelor's or a master's degree in computer science or related field, or equivalent job experience.
- Strong hands-on development background in Python (specifically API based development in Flask or FastAPI), additional languages are a bonus.
- Experience building applications using AI development services on prominent cloud platforms such as Azure Open AI, Azure AI Foundry, Azure Search, Azure Cognitive Services, AWS Bedrock, AWS Sagemaker, Google Vertex AI.
- Experience building AI applications, preferably Generative AI and LLM based apps.
- Experience deploying resources to the cloud via terraform and CI/CD pipelines
- Experience designing and implementing highly scalable architecture for enterprise applications
- Ability to create code samples for baseline implementations.
- Demonstrated experience in DevOps, understanding of CI/ CD.
- Hands on experience with managing code in code repositories such as Bit Bucket and GitHub.
- Broad understanding of data engineering (SQL, NoSQL, Big Data), data governance, data privacy and security
- Ability to articulate technical concepts effectively to diverse audiences.
- Strong desire and ability to influence development teams and help them adopt AI.
- Demonstrated ability to work effectively in a global organization and across time zones.
- Understanding of information security and secure coding practices.
- Strong skills in documentation and organization.
Benefits
- Employee benefits and perks
- Comprehensive employee benefits and perks
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
AI Lead Solutions Architect designing scalable AI/ML systems for a global financial institution. Leading R&D, production deployment, and engineering mentorship across financial - services applications.
Technical Solutions Architect designing Juniper and Aruba enterprise networking solutions for Arrow’s channel partners. Leading technical sales engagements, demonstrations, and solution architecture across North America.
Global Solutions Engineer leading MSSP partner architecture and AI security evaluations at Sophos. Building demos, proofs of value, and global technical enablement.
Conseiller SAP concevant des architectures intégrées pour un client manufacturier. Gouvernance, intégrations ERP/SCADA, transformation numérique et sélection de solutions.
Data Solution Architect designing scalable Databricks lakehouses and pipelines. Guiding cloud data engineering delivery for Lovelytics’ enterprise consulting clients.
Solution Architect leading enterprise AI architecture, governance, and delivery standards for Bits In Glass and ConveneAI. Shaping client engagements and scaling reusable AI accelerators.
Data and AI Customer Solutions Architect selling cloud, analytics, and AI solutions at Softchoice, an IT solutions provider. Leading executive sales cycles, partner co - selling, and AI adoption strategies.
Data Integration Engineer building resilient API, webhook, and data pipelines for SafelyYou’s AI - powered senior - care platform. Supporting partner integrations, backfills, monitoring, and technical documentation.
Systems Integration Engineer leading multidisciplinary rail systems integration for AtkinsRéalis. Supporting design, construction, testing, commissioning, and stakeholder coordination.