
Leading company in the financial services industry
Senior AI Engineer_Director_Software Engineering
福利厚生
•育児休暇
•Remote Work
•Learning Budget
•無制限休暇
必須スキル
TensorFlow
PyTorch
Airflow
JOB LEVEL
Director
TIER
P3
We’re seeking someone to join our FRPPE Tech team as a Senior AI Engineer, in Finance Technology to focus on building our AI Development Platform and to drive adoption of AI capabilities throughout the enterprise.
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.
This is Director position that develops and maintains software solutions that support business needs.
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:
If you are passionate about Generative AI, Java, and cloud-native architectures, and have hands-on experience delivering solutions in the financial domain, we want to connect with you.
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Architect secure, robust, and scalable components for a next-generation AI platform.
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Collaborate with stakeholders to translate business needs into technical specifications and architecture.
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Lead integration of 3rd-party platforms, conduct build vs. buy analyses, and drive automated testing for reliability and security.
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Implement DevOps practices and mentor fellow engineers.
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Work closely with developers to enhance the AI development experience.
What you’ll bring to the role:
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Bachelor’s or Master’s degree in Computer Science or related field (or equivalent experience).
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You bring 6 years of hands-on software engineering experience (including at least 3 years architecting distributed systems).
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Total 6 years of software development which include 3 years architecting distributed systems, 2 years building AI applications (GenAI/LLM-based apps).
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You are highly proficient in Java and Generative AI, and have worked extensively in live projects.
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Experience with cloud-native products/platforms (microservices, Kubernetes, Docker, Kafka), data engineering, DevOps, CI/CD.
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Financial services domain experience is required; Python/UI development is a plus.
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You demonstrate technical leadership, collaboration, and a drive for innovation and efficiency.
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At least 4 years' relevant experience would generally be expected to find the skills required for these role
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.
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.
Internal Applicants
Internal mobility can be a way to grow your career and realize your professional potential. Typically, you must be in your position for at least 18 months and performing satisfactorily before applying for another job at the Firm. Internal applicants can find out more regarding career navigation, mobility guidelines and policy on our employee portal by clicking here.
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Morgan Stanleyについて

Morgan Stanley
PublicMorgan Stanley is an American multinational investment bank and financial services company headquartered at 1585 Broadway in Midtown Manhattan, New York City.
10,001+
従業員数
New York
本社所在地
$150B
企業価値
レビュー
10件のレビュー
4.1
10件のレビュー
ワークライフバランス
2.8
報酬
4.2
企業文化
3.7
キャリア
4.1
経営陣
2.9
75%
知人への推奨率
良い点
Great learning opportunities and experience
High salary and bonuses
Good team dynamics and supportive colleagues
改善点
Long hours during peak times
High stress and overwhelming environment
Work-life balance issues
給与レンジ
6,221件のデータ
Junior/L3
Senior/L5
Staff/L6
Junior/L3 · Data Scientist L3
0件のレポート
$130,639
年収総額
基本給
-
ストック
-
ボーナス
-
$111,043
$150,235
面接レビュー
レビュー6件
難易度
3.2
/ 5
期間
21-35週間
面接プロセス
1
Application Review
2
HR Screen/HireVue
3
Technical/Behavioral Interviews
4
Superday/Final Round
5
Onsite Interview
6
Offer Decision
よくある質問
Technical Knowledge
Behavioral/STAR
Investment/Finance Concepts
Case Study
Culture Fit
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