Senior AI Engineer_Director_Software Engineering at Morgan Stanley

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

10 Mar, 26

Salary

0.0

Posted On

10 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, Java, Cloud-Native Architectures, Distributed Systems, AI Applications, Microservices, Kubernetes, Docker, Kafka, Data Engineering, DevOps, CI/CD, Technical Leadership, Collaboration, Innovation, Efficiency

Industry

Financial Services

Description

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. Architect secure, robust, and scalable components for a next-generation AI platform. Collaborate with stakeholders to translate business needs into technical specifications and architecture. Lead integration of 3rd-party platforms, conduct build vs. buy analyses, and drive automated testing for reliability and security. Implement DevOps practices and mentor fellow engineers. Work closely with developers to enhance the AI development experience. Bachelor's or Master's degree in Computer Science or related field (or equivalent experience). You bring 6+ years of hands-on software engineering experience (including at least 3 years architecting distributed systems). Total 6+ years of software development which include 3+ years architecting distributed systems, 2+ years building AI applications (GenAI/LLM-based apps). You are highly proficient in Java and Generative AI, and have worked extensively in live projects. Experience with cloud-native products/platforms (microservices, Kubernetes, Docker, Kafka), data engineering, DevOps, CI/CD. Financial services domain experience is required; Python/UI development is a plus. You demonstrate technical leadership, collaboration, and a drive for innovation and efficiency. At least 4+ years' relevant experience would generally be expected to find the skills required for these role 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. 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. 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.

Responsibilities

Architect secure, robust, and scalable components for a next-generation AI platform while collaborating with stakeholders to translate business needs into technical specifications. Lead integration of third-party platforms and drive automated testing for reliability and security.