What you'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;
- DevOps 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, BitBucket, Git repository, SVN, and SourceTree.
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 LangChain, LlamaIndex, and Semantic Kernel;
- Performing model fine-tuning, embeddings, and secure tool registries;
- Utilizing observability tools including TruLens, and W&B;
- OAuth2;
- SAML authentication;
- API gateways;
- Kubernetes Helm;
- Terraform;
- Prometheus;
- Grafana, and enterprise;
- AI safety and compliance practices.
Expected base pay rates for the role will be between $165,000 and $165,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Telecommuting permitted up to 2 days per week.
