Director, Software Engineer
Listed on 2026-08-08
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Software Development
AI Engineer (Applied/Software), Backend Developer
Company Profile
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment, and wealth management services. The Firm's employees serve clients worldwide, including corporations, governments, and individuals from more than 1,200 offices in 43 countries. In Technology, 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.
Whatyou’ll do in the role
Morgan Stanley Services Group, Inc. is seeking a Director, Software Engineer in Alpharetta, Georgia to integrate Large Language Models (LLMs) into existing applications to enhance user experience.
- Design, implement, and optimize LLM-based solutions ensuring production-grade quality.
- Develop APIs and middleware to facilitate seamless communication between LLMs and existing systems.
- Collaborate with cross-functional teams, including product managers, data scientists, and software engineers, to define requirements and deliver solutions.
- Monitor, analyze, and fine-tune LLM performance using metrics and user feedback.
- Implement security best practices and data privacy policies for LLM interactions.
- Stay updated with advancements in AI, NLP, and machine learning to continuously improve integration strategies.
- Integrate GenAI capabilities into enterprise applications, including designing end-to-end GenAI pipelines and autonomous or semi-autonomous agent workflows.
- Create structured prompts, templates, and reusable prompt-engineering frameworks for diverse business use cases.
- Design and implement GenAI agents capable of reasoning, planning, and executing actions across internal APIs, enterprise tools, and third-party services.
- Develop and maintain tool registries enabling GenAI agents to securely interact with enterprise systems and data sources.
- Implement metrics, observability, tracing, and structured logging for GenAI workloads.
- Build rapid Proofs of Concept (POCs) to validate GenAI ideas, measure ROI, and scale successful prototypes into production-ready systems.
- Participate in Agile ceremonies, including sprint planning, retrospectives, and continuous improvement initiatives.
- Conduct code reviews, design reviews, and prompt-optimization sessions to maintain engineering quality.
Telecommuting permitted up to 2 days per week.
What you’ll bring to the role- Requires a Bachelor’s in Computer Engineering, Computer Science, or a related field of study.
- Requires five (5) years of experience in the position offered or as a Full Stack Developer, Software Engineer, AI Engineer, or a related role.
- Requires five (5) years of experience with the following skills:
Full stack development skills in Python, Java and JavaScript;
Working with different tools of Adobe Marketing cloud including Adobe Experience Manager, Target and Campaign; RESTful API development and integration;
GraphQL API to serve dynamic request on data;
Backend development experience with Node.js and Nest.js;
Frontend development experience with Angular and React;
Dev Ops tools and practices for deployment and monitoring;
Implementing Continuous Integration and Continuous Deployment (CICD) pipelines using Jenkins, Bamboo, and Docker; and Atlassian’s toolset, including JIRA, Confluence, Box, Bit Bucket, Git repository, SVN, and Source Tree. - Requires two (2) years of experience with the following skills: AWS Lambda; AWS Gateway API; AWS SDK and AWS CDK; LLM APIs including OpenAI, Azure OpenAI, and Hugging Face;
Prompt engineering frameworks, GenAI agent frameworks including Lang Chain, Llama Index, and Semantic Kernel;
Performing model fine-tuning, embeddings, and secure tool registries;
Utilizing observability tools including Tru Lens, and W&B; OAuth2; SAML authentication; API gateways;
Kubernetes Helm;
Terraform;
Prometheus;
Grafana, and enterprise; AI safety and compliance practices.
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…
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