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- Tasks: Develop GenAI applications and support adoption across teams with best practices and documentation.
- Company: Join Morgan Stanley, a leading global financial services firm with a commitment to innovation and excellence.
- Benefits: Enjoy flexible working arrangements and comprehensive employee perks in a supportive environment.
- Other info: This role offers opportunities for collaboration across global teams and career growth within the company.
- Why this job: Be part of a dynamic team driving AI innovation and solving real-world problems with cutting-edge technology.
- Qualifications: Bachelor's or master's degree in computer science; 8-12 years of software engineering experience required.
The predicted salary is between 48000 - 72000 ÂŁ per year.
Job Description AI Solution Engineering Specialist
Join to apply for the Job Description AI Solution Engineering Specialist role at Morgan Stanley
Job Description AI Solution Engineering Specialist
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Join to apply for the Job Description AI Solution Engineering Specialist role at Morgan Stanley
Glasgow
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.
AI Solution Engineering Specialist
Glasgow
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.
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
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
Desired Skills
- 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 are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 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.
Certified Persons Regulatory Requirements
If t his role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.
Flexible work statement
Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.
Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.
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Engineering and Information Technology
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Job Description AI Solution Engineering Specialist employer: Morgan Stanley
Contact Detail:
Morgan Stanley Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Job Description AI Solution Engineering Specialist
✨Tip Number 1
Familiarise yourself with the latest Generative AI tools and frameworks mentioned in the job description, such as GPT, Llama, and Hugging Face. Being able to discuss these technologies confidently during your interview will demonstrate your proactive approach and genuine interest in the role.
✨Tip Number 2
Showcase your hands-on experience by preparing a portfolio of projects that highlight your skills in developing GenAI applications. This could include any Proof of Concepts or sample code you've created, which can serve as tangible evidence of your capabilities.
✨Tip Number 3
Brush up on your communication skills, as this role requires excellent soft skills. Practice explaining complex AI concepts in simple terms, as you may need to convey technical information to non-technical stakeholders during your interactions.
✨Tip Number 4
Network with professionals in the AI and software engineering fields, especially those who have experience in financial services. Engaging with industry peers can provide valuable insights and potentially lead to referrals, increasing your chances of landing an interview.
We think you need these skills to ace Job Description AI Solution Engineering Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI and solution engineering. Focus on your hands-on experience with GenAI applications, deep learning, and any specific tools or libraries mentioned in the job description.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your background aligns with the role. Mention specific projects where you've developed GenAI applications and how you can contribute to Morgan Stanley's mission.
Showcase Technical Skills: Clearly list your technical skills, especially in Python and machine learning libraries. Provide examples of how you've used these skills in previous roles, particularly in developing prototypes or Proof of Concepts.
Highlight Soft Skills: Since this is a customer-facing role, emphasise your communication skills. Share examples of how you've effectively collaborated with teams or influenced developers to adopt new technologies.
How to prepare for a job interview at Morgan Stanley
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with deep learning and contemporary model architectures. Highlight specific projects where you've developed GenAI applications, and be ready to explain the techniques you used and the problems you solved.
✨Demonstrate Collaboration Skills
Since this role involves working closely with AI engineers and application developers, share examples of how you've successfully collaborated in past projects. Emphasise your ability to communicate technical concepts to diverse audiences, as this is crucial for influencing development teams.
✨Prepare for Problem-Solving Scenarios
Expect to face questions that assess your problem-solving skills. Be ready to discuss how you would approach troubleshooting customer adoption issues or developing Proof of Concepts. Think of real-world scenarios where you had to innovate or adapt your solutions.
✨Familiarise Yourself with Best Practices
Research best practices in the Generative AI ecosystem, including when to use specific tools and models. Be prepared to discuss your understanding of libraries like Langchain and Sematic Kernel, and how they can be leveraged in application development.