Technical Analyst, AI Solutions, AVP

Morgan Stanley
Harrison, NY, United States
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Continuous Integration Data Integration Extract Transform Load (ETL) Relational Databases DevOps Python (Programming Language) Systems Development Life Cycle Software Engineering SQL Databases
+8 more
Systems Integration Enterprise Search Large Language Models Generative AI AI Platforms Information Technology Performance Monitor Software Version Control

Job description

Experteer Overview In this role you will lead the delivery of Generative AI and AI-enabled solutions for Morgan Stanley at Work. You will partner with stakeholders to translate business needs into technical outcomes, and design and deploy AI apps, APIs, and workflow automations. You will manage end-to-end delivery, ensure governance and security, and drive adoption and measurable business impact. This is a chance to shape AI-enabled workplace solutions within a global financial services context and work with cross-functional teams to deliver meaningful outcomes. Compensation / Benefits * Lead delivery of Generative AI and AI-enabled solutions * Partner with stakeholders to gather requirements and translate them into technical solutions * Design, develop, and enhance AI applications, APIs, integrations, and workflow automation * Support GenAI use cases with LLMs, enterprise search, RAG, vector databases, and AI platforms * Manage end-to-end project delivery (planning, execution, testing, release, production support) * Drive Agile development practices and coordination of onshore/offshore resources * Ensure governance, security, privacy, compliance, and Responsible AI standards * Monitor performance, define KPIs, and improve user adoption and business outcomes * Collaborate across technology, product, risk, compliance, and business teams across the organization Tasks * 6+ years of experience in software development, technical analysis, solution delivery, or data integration * Experience building or supporting Generative AI, LLM, AI automation, or intelligent workflow solutions * Strong requirements gathering and business analysis skills; translate business needs into technical solutions * Experience with SQL, data modeling, ETL/data integration, and relational databases * Proficiency in Python; experience with APIs, application development, and system integrations * Knowledge of Agile methodologies, SDLC, DevOps practices, CI/CD, and source control tools * Understanding of security, data privacy, governance, risk, and compliance requirements * Excellent communication and stakeholder management across technical and non-technical audiences * Bachelor’s degree (or equivalent experience) in Computer Science, Engineering, Business, Finance, or related field; financial services experience preferred Key requirements *

Requirements

and release, production support) * Drive Agile development practices and coordination of onshore/offshore resources * Ensure governance, security, privacy, compliance, and Responsible AI standards * Monitor performance, define KPIs, and improve user adoption and business outcomes * Collaborate across technology, product, risk, compliance, and business teams across the organization Tasks * 6+ years of experience in software development, technical analysis, solution delivery, or data integration * Experience building or supporting Generative AI, LLM, AI automation, or intelligent workflow solutions * Strong requirements gathering and business analysis skills; translate business needs into technical solutions * Experience with SQL, data modeling, ETL/data integration, and relational databases * Proficiency in Python; experience with APIs, application development, and system integrations * Knowledge of Agile methodologies, SDLC, DevOps practices, CI/CD, and source control tools * aaaaaaaaaaac _ of security, data privacy, governance, risk, and compliance requirements * Excellent communication and stakeholder management across technical and non-technical audiences * Bachelor’s degree (or equivalent experience) in Computer Science, Engineering, Business, Finance, or related field; financial services experience preferred Key requirements *

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