AI Cloud Solution Engineer_Director_Software Engineering

eightfold

Bengaluru, India 6 Years Exp Posted 44d ago

What you’ll do in the role:

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.
Build POC's and example code through which developers can access Gen AI models via
standard APIs.
Have an application developer mindset and build common, reusable solutions to scale generative AI use cases.
Contribute to major design decisions and prod Required Skills.
Deploy resources to the cloud via terraform and CI/CD pipelines
Design and implement highly scalable architecture for enterprise applications. Strong hands-on development background in Python, additional languages are a bonus
Create code samples for baseline implementations.
Articulate technical concepts effectively to diverse audiences.

What you’ll bring to the role:

At least 6+ years' relevant experience would generally be expected to find the skills required
for this role.
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.
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.
Experience working in a large, regulated industry such as Financial Services, Insurance etc.
Experience building AI applications, preferably Generative AI and LLM based apps.
Experience working with Python, specifically API based development in Flask or FastAPI.
Understanding of Kubernetes and deployment best practices such as Helm and GitOps.
Bachelor's or a master's degree in computer science or related field, or equivalent job experience.
Experience in enterprise software engineering, design, and development
Experience implementing enterprise architecture in at least one major cloud provider (Azure, AWS, GCP).
Relevant Microsoft, AWS, GCP, or Terraform certifications a plus.
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.