Morgan Stanley

DevGen.AI Lead Product Engineer-Executive Director

Morgan Stanley
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6 days ago

Base Salary

$195k - $275k/yr

Responsibilities

  • Lead DevGen.AI product execution across platform capabilities, reusable agents, prompts, patterns, accelerators, APIs, and adoption workflows.
  • Partner with engineering, architecture, governance, SRE, security, and divisional teams to move AI use cases from experimentation through enterprise implementation.
  • Own intake orchestration and translate customer demand, usage data, and recurring needs into product backlog themes and platform enhancements.
  • Drive the Innovate → Incubate → Implement lifecycle, including feasibility validation, pilot measurement, governance gates, production readiness, and scalable launches.
  • Build and guide rapid prototypes, proofs of concept, reference implementations, technical playbooks, and reusable delivery patterns.
  • Coordinate responsible AI adoption by embedding controls, completeness, accuracy, timeliness, and measurement into delivery practices.
  • Champion InnerSource contributions and lead community enablement through office hours, demos, onboarding, documentation, technical guidance, and knowledge-sharing forums.
  • Track and improve adoption, productivity, ROI, contribution, and platform-impact metrics for stakeholders and senior leadership.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, Information Systems, or a related technical discipline.
  • 10+ years of experience in software engineering, product engineering, solution architecture, AI platforms, developer platforms, or enterprise technology delivery.
  • Strong product engineering experience delivering enterprise platforms, developer tools, AI/LLM applications, or internal technology products.
  • Hands-on understanding of generative AI, LLMs, prompt engineering, agentic architectures, RAG patterns, evaluation methods, and responsible AI delivery.
  • Experience leading engineers, product squads, solution engineering teams, or cross-functional delivery across product, platform, architecture, security, SRE, governance, and business stakeholders.
  • Technical fluency in APIs, cloud-native engineering, platform architecture, software delivery lifecycle, observability, access control, and production readiness.
  • Ability to build prototypes, reference implementations, technical documentation, reusable accelerators, and developer enablement materials.
  • Strong communication, prioritization, execution, and stakeholder-influence skills in global, matrixed, regulated enterprise environments.
  • Proven track record delivering enterprise-scale platforms or reusable technology capabilities with measurable adoption and business impact.
  • Preferred experience with LangChain, LangGraph, Semantic Kernel, MCP, multi-agent orchestration, vector search, RAG pipelines, Azure OpenAI, AWS Bedrock, Google Vertex AI, AI gateways, governance, model evaluation, risk controls, entitlement management, monitoring, SRE, secure architecture, and production support.

Benefits

  • Comprehensive employee benefits and perks for employees and their families.
  • Opportunities for career mobility across the business.
  • Role is based within Morgan Stanley’s global office environment; specific work arrangement is not stated.
  • Base pay is supplemented separately by potential incentive compensation, bonuses, and other benefit programs; compensation figures are excluded from this benefits list.

Categories

AI ApplicationsProduct Engineering
Morgan Stanley

About Morgan Stanley

10,000+ employees

Morgan Stanley is a leading global financial services firm providing investment banking, securities, wealth management and investment management services. With a 90-year history, Morgan Stanley today operates in 42 countries serving corporations, governments, institutions, families and individuals. Morgan Stanley is a talent business that demands ongoing investment in our people. Key drivers of our success have been the breadth and tenure of our talent, as well as a unique culture and a set of values that guide our employees. We view Morgan Stanley’s talent and culture as a key competitive advantage enabling the Firm to achieve its potential and drive future success. As an integrated firm with scaled capabilities, we partner with clients at every stage of their financial journey. Our ability to do so is grounded in four pillars that define Morgan Stanley: a clear and consistent strategy to help clients raise, manage and allocate capital; a culture grounded in rigor, humility and partnership; financial strength through capital, earnings power and durability; and growth driven by smart, strategic investment globally. These pillars enable Morgan Stanley to provide trusted advice, operate with resilience across market cycles and deliver long-term value to our clients and shareholders. Social Media Disclosures: mgstn.ly/SocialDisclosure

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