Director, Software Engineer

Reposted 9 Days Ago
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Alpharetta, GA, USA
In-Office
165K-165K Annually
Senior level
Fintech • Financial Services
The Role
Lead integration of LLMs and GenAI into enterprise applications: design, implement, and optimize production-grade LLM solutions, APIs, agents, and observability. Collaborate cross-functionally, run POCs, enforce security/privacy, and scale successful prototypes into production while participating in Agile practices and engineering reviews.
Summary Generated by Built In

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. 

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.

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 that’s differentiated – and we’ve 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 - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll 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. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser.

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.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background.  Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.

Skills Required

  • Bachelor's in Computer Engineering, Computer Science, or related field
  • Five years' experience in the role or as Full Stack Developer, Software Engineer, AI Engineer, or related role
  • Five years full stack development with Python, Java and JavaScript
  • Five years working with Adobe Marketing Cloud (Adobe Experience Manager, Target, Campaign)
  • Five years RESTful API development and integration
  • Five years GraphQL API experience
  • Five years backend development with Node.js and Nest.js
  • Five years frontend development with Angular and React
  • Five years DevOps tools and practices for deployment and monitoring
  • Five years implementing CI/CD pipelines using Jenkins, Bamboo, and Docker
  • Five years using Atlassian toolset (JIRA, Confluence), Box, Bitbucket, Git, SVN, SourceTree
  • Two years AWS Lambda experience
  • Two years AWS API Gateway experience
  • Two years AWS SDK and AWS CDK experience
  • Two years with LLM APIs (OpenAI, Azure OpenAI, Hugging Face)
  • Two years with prompt engineering and GenAI agent frameworks (LangChain, LlamaIndex, Semantic Kernel)
  • Two years performing model fine-tuning, embeddings, and secure tool registries
  • Two years using observability tools (TruLens, Weights & Biases)
  • Two years with OAuth2 and SAML authentication
  • Two years working with API gateways
  • Two years with Kubernetes Helm, Terraform, Prometheus, and Grafana
  • Two years knowledge of AI safety and compliance practices

Morgan Stanley Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Morgan Stanley and has not been reviewed or approved by Morgan Stanley.

  • Parental & Family Support Family support is extensive, with paid parental leave for all parents, adoption and fertility assistance, backup childcare, and eldercare resources. Feedback suggests these programs meaningfully enhance the overall package and help with retention.
  • Healthcare Strength Health coverage spans medical, dental, vision, mental‑health access, care navigation, and expert second opinions. Convenient primary care access and condition‑specific support reinforce the depth of healthcare coverage.
  • Equity Value & Accessibility Equity compensation and stock ownership are positioned as core motivators that encourage commitment and retention. Feedback suggests education and support are provided to help participants manage equity and related financial benefits.

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The Company
HQ: New York, NY
87,899 Employees

What We Do

Morgan Stanley mobilizes capital to help governments, corporations, institutions and individuals around the world achieve their financial goals. For over 85 years, the firm’s reputation for using innovative thinking to solve complex problems has been well earned and rarely matched. A consistent industry leader throughout decades of dramatic change in modern finance, Morgan Stanley will continue to break new ground in advising, serving and providing new opportunities for its clients. Morgan Stanley is committed to maintaining the first-class service and high standard of excellence that have always defined the firm. At its foundation are five core values — putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back — that guide its more than 60,000 employees in 1,200 offices across 41 countries.

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