AI Development Solution Engineer - Associate

474 MS Services Group, Inc.; Alpharetta (GA); On-site; USD 70,000 - 120,000; Full time

Job summary

Morgan Stanley seeks an AI Development Solution Engineering Specialist to lead GenAI platform adoption across the firm. You will build PoCs, prototype capabilities, and author best practices while collaborating with AI engineers to shape the platform roadmap.

This customer-facing role requires strong communication, deep GenAI expertise, and hands-on development experience with models and ML tooling, enabling scalable AI solutions across business units.

Qualifications

• Bachelor's or master's degree in computer science or related field, or equivalent job experience.
• 8-12 years of experience in software engineering, design, and development.
• Experience developing GenAI applications.
• Strong hands-on proficiency in Python and ML libraries like numpy, opencv, scikit-learn, pandas, matplotlib, seaborn.
• Understanding of AI/ML Lifecycle and basic understanding of systems like mlflow, Dataiku, databricks.
• Broad understanding of data engineering (SQL, NoSQL, Big Data), data governance, data privacy and security.
• Demonstrated experience in DevOps, understanding of CI/CD, and GitHub/Bitbucket.
• Understanding of how deep learning works and ML frameworks such as TensorFlow or PyTorch
• Excellent communication and ability to influence development teams.

Responsibilities

• Build Proof of Concepts and example code to enable GenAI adoption at scale.
• Develop prototypes to demonstrate model capabilities and advanced usage patterns.
• Collaborate with AI engineers to prioritize capabilities for firmwide platform roadmap.
• Author best practices on Generative AI ecosystem and tools.
• Troubleshoot customer adoption of GenAI platform capabilities and provide feedback to engineers.
• This is a customer-facing role requiring excellent soft communication skills.
• Build common, reusable solutions to scale GenAI use cases using pre-trained and fine-tuned models.

Skills

Deep learning

GenAI apps

Python

ML libraries

NumPy

OpenCV

scikit-learn

Pandas

Matplotlib

Seaborn

CI/CD

GitHub

DevOps

Communication

Education

Bachelor's or Master's in CS

Tools

GitHub

Bitbucket

Azure OpenAI

Job description

AI Development Solution Engineering Specialist Job Description Our mission is to develop a firmwide Artificial Intelligence (AI) Development Platform that aligns with the firm's Technology principles and drives efficiency and consistency, controls, security and strong governance and promotes innovation, enabling teams to build applications that leverage AI capabilities and accelerate the adoption of AI across our businesses. This role is for a solution engineering specialist to work with GenAI application owners to adopt GenAI platform capabilities and develop patterns and best practices to enable GenAI application adoption at scale. The ideal candidate will have strong knowledge and experience on deep learning, contemporary model architectures and a strong drive to solve real-world problems with AI techniques. They will have hands‑on experience developing GenAI applications and can leverage their expertise to enable firmwide developers to adopt AI techniques at scale through documentation, consultation, and collaborative Proof of Concept and sample code development. In the Technology division, 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. Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What you'll do in the role:

• Build Proof of Concepts and example code through which developers can leverage GenAI models to solve common problems or patterns to enable GenAI adoption at scale
• Develop prototypes to demonstrate model capabilities, advanced usage patterns.
• Collaborate with AI engineers to prioritize capabilities for firmwide platform roadmap
• Author best practices on the Generative AI ecosystem, when to use which tools, available models such as GPT, Llama, Hugging Face etc. and libraries such as Langchain, and Sematic Kernel.
• Troubleshoot customer adoption of genAI platform capabilities; update user documentation and provide feedback to platform engineering teams to improve future customer experience
• This is a customer‑facing role and excellent soft communications skills are mandatory.
• Have an application developer mindset and build common, reusable solutions to scale Generative AI use cases using pre‑trained models as well as fine‑tuned models.

What you'll bring to the role:

• Bachelor's or a master's degree in computer science or related field, or equivalent job experience
• 8 - 12 years of experience in software engineering, design, and development
• Experience developing GenAI applications
• Strong hands‑on proficiency in Python and machine learning specific libraries like numpy, opencv, scikit‑learn, pandas, matplotlib, seaborn, etc.
• Understanding of AI/ML Lifecycle and basic understanding of systems like mlflow, Dataiku, databricks.
• Broad understanding of data engineering (SQL, NoSQL, Big Data), data governance, data privacy and security
• Demonstrated experience in DevOps, understanding of CI/ CD. Hands on experience with managing code in code repositories such as Bit Bucket and GitHub.
• Understanding of how deep learning works, understanding of Machine Learning frameworks such as TensorFlow or PyTorch
• Ability to articulate technical concepts effectively to diverse audiences. Excellent communication skills.
• Strong desire and ability to influence development teams and help them adopt AI.
• Demonstrated ability to work effectively and collaboratively in a global organization, across time zones, and across organizations

Nice to have:

• Experience working with application development teams to enable them to build AI based applications.
• Ability to create code samples to be shared with application teams.
• Experience working with cloud providers, preferably Azure, but also AWS, GCP
• 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 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 Generative AI development, embeddings, fine tuning of Generative AI models.
• Understanding of Model Ops/ ML Ops/ LLM Ops

What you can expect from Morgan Stanley:

We have a track record of innovation and passion for unlocking new opportunities, we help our clients raise, manage and allocate capital. We do this by offering a wide range of investment banking, securities, wealth management and asset management services. All that we do at Morgan Stanley is driven by our five core values: do the right thing, put clients first, lead with exceptional ideas, commit to diversity and inclusion, and give back. These aren't just beliefs, they guide the decisions we make every day, ensuring we do what's best for our clients, communities and more than 80,000 employees around the world. And at the core of our success are the people who drive it - relentless collaborators and creative thinkers who are fueled by diverse thinking and experiences. Wherever you are in our 1,200 global offices, you'll have the opportunity to work alongside the best and the brightest in an environment where you are empowered to achieve your full potential.

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.

Expected base pay rates for the role will be between $70,000 and $120,000 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 opportunities employer.

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.

In each line of business, we strive to demonstrate our belief in the power of transformative thinking, innovative strategies and leading‑edge solutions—and in the ability of capital to work for the benefit of all society.