AIDP Solutions Lead
Morgan StanleyAbout the role
Job Description
The AIDP Solutions Lead is responsible for leading a team of solutions engineers to drive education, adoption and enablement, and effective utilization of the AI Development Platform across the firm. This role sits at the intersection of customers, product teams, and engineering—ensuring teams are well-informed of AIDP capabilities, connected to the right solutions, and able to successfully deliver AI use cases leveraging the platform.
The role focuses on connecting demand to platform capabilities, enabling customers through education and hands-on support, and helping surface and prioritize enterprise needs across the AIDP portfolio. While not owning product direction, this role plays a critical part in ensuring product teams are informed by real customer demand and usage patterns.
The Solutions Lead acts as a central intake and orchestration layer for the fleet—streamlining how demand enters AIDP, guiding teams to the right capabilities, and maximizing platform adoption and impact.
Primary Responsibilities
Lead and manage a team of AIDP Solutions Engineers, driving priorities, execution, and impact
Develop broad awareness of enterprise AI use cases and AIDP offerings to guide solutioning
Connect teams working on similar problems to accelerate outcomes and reduce duplication
Identify demand patterns and influence AIDP product roadmap priorities
Build rapid prototypes, POCs, and reusable reference implementations to showcase capabilities
Create code samples, accelerators, and patterns to reduce time-to-value
Lead AIDP Office Hours (weekly open sessions for developers across the firm) and drive continuous learning across the organization
Champion AIDP community engagement by answering questions and scaling knowledge
Deploy forward into high-impact areas to accelerate builds and transfer knowledge back to the platform
Document best practices, architectures, and solution patterns in collaboration with teams
Elevate AIDP success stories and drive internal awareness of platform capabilities
Act as the central connector (‘glue’) across teams, products, and stakeholders
Required Skills
Strong understanding of cloud platforms and Generative AI ecosystems
Experience building or guiding AI/LLM-based applications
Proven ability to lead teams and influence across organizations without direct authority
Hands-on experience developing prototypes, APIs, and reusable solutions
Strong communication and stakeholder management skills
Experience working in global, cross-functional environments
Strong documentation and knowledge-sharing capabilities
Desired Skills
Experience with frameworks such as LangChain, LangGraph, or agentic architectures
Experience with Azure OpenAI, AWS Bedrock, or Google Vertex AI
Background in platform engineering, developer enablement, or solution architecture
Experience in f
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