AI Delivery Lead
Listed on 2026-08-27
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Software Development
AI Engineer (Applied/Software), Software Architect
The AI Delivery Lead is responsible for the end-to-end delivery of AI-powered Copilot agents within Morgan Stanley's COO and PMO domain.
This role bridges delivery leadership with hands-on solution design, ensuring that agentic solutions built on Microsoft Copilot Studio are delivered on time, within scope, and aligned to business outcomes.
The role requires close collaboration with Morgan Stanley stakeholders, working group leads, and the broader vendor squad.
Key Responsibilities:Lead end-to-end delivery of AI agent solutions across PMO and COO use cases, managing scope, timeline, risks, and dependencies
Provide hands-on solution design for Copilot Studio agents, including prompt architecture, RAG patterns, and connector strategy
Architect retrieval-augmented generation (RAG) pipelines using SharePoint, Microsoft Graph, and custom connectors
Design and maintain reusable prompt templates and patterns to ensure consistency across agent deployments
Define and execute MCP (Model Context Protocol) and connector integration strategy across the engagement
Implement governance and security controls including Entra n and data boundary enforcement
Coordinate with Morgan Stanley acceptance testing and SME review working groups to ensure quality sign-off
Build and maintain Power Automate workflows to support agent orchestration and business process automation
Serve as the primary delivery interface between the Company's vendor squad and Morgan Stanley program leadership
RequiredSkills & Experience:
Copilot Studio
-mandatory; deep working knowledge of agent configuration, testing, and deployment
Power Automate
-advanced flow design including approvals, error handling, and business logic
RAG design
-hands-on experience with SharePoint, Microsoft Graph, and connector-based retrieval architectures
Prompt architecture
-ability to write, structure, and design reusable prompt patterns at scale
MCP / connector strategy
-experience defining and implementing integration approaches across enterprise tooling
Governance & security
-practical knowledge of Entra , data boundaries, and enterprise access controls
Delivery leadership
-proven track record managing AI or digital delivery programs in financial services
Experience delivering AI solutions within a Tier 1 financial institution (banking, wealth management, or capital markets)
Familiarity with Morgan Stanley's operating model, PMO structures, or COO domain
Microsoft certifications in Power Platform, Azure AI, or Copilot Studio
Experience working in vendor / managed services delivery models with client-side governance
The pay range that the employer in good faith reasonably expects to pay for this position is $56.23/hour - $87.86/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.
Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage;
return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.
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