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Morganstanley - Jack415 - Test

Solution Architect – GenAI- Vice President - Software Engineering

Posted 16 Days Ago
Be an Early Applicant
Hybrid
Bengaluru, Bengaluru Urban, Karnataka, IND
Expert/Leader
Hybrid
Bengaluru, Bengaluru Urban, Karnataka, IND
Expert/Leader
The role involves designing AI-driven solutions for banking challenges, translating requirements into technical solutions, and guiding clients through technical evaluations.
The summary above was generated by AI

Solution Architect – GenAI- Vice President - Software Engineering 

Profile Description 

We are seeking an experienced Solution Architect for our Assurance & Legal Technology department, who will design and articulate AI-driven solutions that address complex banking challenges. You will collaborate with cross-functional teams to craft technical narratives that demonstrate value to our clients. Your expertise in enterprise solution architecture and AI implementation for banking processes will position you as a trusted advisor. You will translate technical capabilities into tangible business outcomes.

 About Super Department: 

Non-Financial Risk Technology provides operational controls, support for sustainable investing, business continuity planning, and surveillance capabilities to enhance the firm’s resilience to threats and fraudulent behaviour.

The Assurance & Legal Technology department provides innovative solutions to support Litigation and other Legal services. Our applications deliver strategic technology vision, technical expertise, implementation and support services. These enable stakeholders to conduct and manage their activities in an innovative, efficient, and effective way.  

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 a Lead Software Engineer position at Vice President Level, which is part of the job family responsible for developing 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: 

  • Design scalable and secure AI architecture solutions for specific banking use cases. Leverage modern technologies to address business needs.

  • Translate banking business requirements into technical solutions. Ensure these solutions deliver clear ROI and competitive advantages.

  • Create and present reference architectures, solution designs, and technical roadmaps to senior stakeholders.

  • Conduct technical discovery sessions to understand client challenges and map them to business capabilities.

  • Develop compelling proof-of-concepts and demos that highlight the power of AI capabilities.

  • Collaborate with product teams to influence the AI roadmap based on customer feedback and market trends.

  • Guide customers through the evaluation process. Address technical concerns and clearly explain implementation approaches.

  • Stay current with emerging AI technologies and banking industry trends. Establish yourself as a thought leader in banking AI solutions.

What you’ll bring to the role: 

  • 9+ years of experience architecting enterprise-scale data and AI solutions, including a minimum of 3 years in banking or financial services applications.

  • Deep understanding of architecture design patterns, service-oriented frameworks, distributed messaging integration, and AI implementation strategies.

  • Experience designing and implementing solutions using large language models (e.g., OpenAI, Claude, Copilot, Agentic AI) and machine learning in banking contexts.

  • Strong knowledge of cloud platforms (Azure, AWS, GCP) with emphasis on their AI and data services.

  • Hands-on experience with key programming languages, including Java, Python, AngularJS, React, Shell Scripts, and SQL.

  • Expertise data security, privacy, and compliance requirements specific to the banking industry.

  • Excellent communication skills, with the ability to convey complex technical concepts to both technical and business audiences.

  • Bachelor's or master's degree in computer science, Data Science, or related field; relevant certifications are a plus.

  • Experience with banking systems integration and banking data models

  • Knowledge of banking-specific AI use cases such as fraud detection, personalization, risk assessment, and customer service automation

  • Experience with hybrid cloud / on-premises solutions common in banking environments

  • Prior experience in pre-sales, solution architecture, or technical consulting roles.

  • Atleast 6 years’ relevant experience would generally be expected to find the skills required for this role

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.

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.

Top Skills

AI
Angularjs
AWS
Azure
Enterprise-Scale Data Solutions
GCP
Java
Python
React
Shell Scripts
SQL

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