Senior Software Engineer (GenAI) - Parametric

ABOUT MORGAN STANLEY Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, wealth management and investment management services. With offices in more than 41 countries, the Firm's employees serve clients worldwide including corporations, governments, institutions, and individuals. For further information about Morgan Stanley, please visit www.morganstanley.com. ABOUT PARAMETRIC Parametric is part of Morgan Stanley Investment Management, the asset management division of Morgan Stanley. We partner with advisors, institutions, and consultants to build portfolios focused on what's important to them and their clients. A leader in custom solutions for more than 30 years, we help investors access efficient market exposures, solve implementation challenges, and design multi-asset portfolios that respond to their evolving needs. We also offer systematic alpha and alternative strategies to complement clients' core holdings. This role is part of Parametric's hybrid working model, which includes working in the office 3 days a week and choosing to work remotely or in the office the remaining days of the week.

The Core Platform and AI Engineering team at Parametric is responsible for enhancing the quality and velocity of engineering outcomes across the technology organization through platform-level capabilities, accelerating engineering teams and enabling them to focus on delivering business value. This team delivers Parametric's platform-level service and development capabilities. These efforts seek to optimize the organization's technology posture by providing common solutions to shared problems which drive standardization, accelerated delivery, reduced risk and cost, and scalable, high-performing results. The team serves engineering teams across the organization and is responsible for supporting their success.

The Senior Software Engineer (Generative AI) will serve as a core technical enabler across business units, applying deep knowledge of ML, NLP, transformers, and LLMs to design, evaluate, and operationalize generative AI solutions. This role bridges business stakeholders and engineering teams, translating business problems into technical solutions grounded in data availability and feasibility while enabling engineering teams to fully utilize the advanced AI capabilities available at Morgan Stanley. Through expertise in the AI development lifecycle, from problem framing through evaluation and regression testing, combined with a platform mindset, this role ensures Parametric's GenAI solutions are robust, measurable, and continuously improving. Parametric values strong software engineering and takes pride in their culture of technical rigor, modern practices, and continuous growth. This role will help translate that culture into practical platform solutions which promote engineering effectiveness and consistent delivery.   PRIMARY RESPONSIBILITES Translate business problems into technical solutions by assessing data availability, feasibility, and alignment with GenAI capabilities. Own and drive the AI development lifecycle end-to-end: problem scoping, data assessment, solution design, implementation, evaluation, deployment, and iteration. Design and execute AI system evaluation frameworks, including quantitative metrics definition, discriminative testing (e.g., A/B, sensitivity analysis), regression testing, and continuous quality monitoring of GenAI outputs. Apply deep knowledge of ML, NLP, Transformer architectures, and LLM internals (tokenization, attention, decoding strategies, fine-tuning paradigms) to select, adapt, and optimize foundation models (OpenAI, Llama, open source, etc.) for diverse use cases. Design, develop, and maintain platform-level GenAI applications leveraging prompt engineering, RAG pipelines, fine-tuning, and agentic workflows to drive business outcomes. Interact directly with business users and engineering teams to