The responsibilities of the position include:

• Partner with business leaders and colleagues to identify, prioritize, and define AI use cases aligned with Parkwood’s strategy, risk standards, and measurable business outcomes
• Contribute to the continued development and execution of Parkwood’s AI strategy, roadmap, governance practices, and adoption approach
• Design, build, test, deploy, and support secure AI applications and agents using Microsoft 365 Copilot, Copilot Studio, Azure OpenAI, Microsoft Foundry, and related Microsoft technologies
• Develop enterprise AI solutions that utilize organizational documents, databases, Microsoft 365 content, and external APIs to deliver accurate, permission-aware responses and automated actions
• Implement retrieval-augmented generation, prompt and context management, agent orchestration, structured workflows, and human-in-the-loop controls for complex business processes
• Establish evaluation methods and monitoring for AI solutions, including response relevance, groundedness, accuracy, reliability, performance, cost, security, and user adoption
• Apply responsible AI, privacy, access-control, auditability, and data-governance requirements throughout the solution lifecycle, particularly for sensitive financial and family-office information
• Integrate AI capabilities into internal web applications and business processes using C#/.NET, Blazor, Microsoft Graph, REST APIs, Power Automate, and approved data services
• Build and maintain data ingestion, document processing, ETL, and API integrations that prepare trusted information for AI, reporting, and automation solutions
• Create reusable technical patterns, documentation, testing standards, and deployment practices that support scalable and maintainable AI development
• Collaborate with cross-functional teams, educate users on effective and responsible AI practices, gather feedback, and continuously improve solutions
• Continue to develop and support traditional applications, financial and investment reports, and business intelligence solutions where they enable or complement AI-driven workflows

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related technical field, or equivalent practical experience
• 5+ years of professional experience in software development, including meaningful hands-on experience delivering AI, automation, data, or intelligent application solutions
• Demonstrated ability to move AI solutions from business discovery and prototyping through testing, deployment, monitoring, and ongoing support
• Strong proficiency in:

• Microsoft 365 Copilot extensibility, Copilot Studio, and agent development
• Azure OpenAI and Microsoft Foundry, including prompt design, model selection, evaluation, deployment, and monitoring
• Retrieval-augmented generation, semantic and hybrid search, vector embeddings, document chunking, and grounding enterprise content
• C# and .NET, including web application development with Blazor and integration of AI services through APIs and SDKs
• Python for AI prototyping, data transformation, scripting, or service integration
• Microsoft SQL Server, Azure SQL Database, data modeling, and secure data-access patterns
• Microsoft Graph, REST APIs, OAuth, managed identities, role-based access controls, and secure integration practices
• Azure DevOps, source control, automated testing, CI/CD, application lifecycle management, and production support
• Microsoft Power Platform, including Power Automate and Power BI

• Experience defining AI use-case intake, prioritization criteria, success measures, governance controls, or an enterprise AI roadmap
• Experience designing custom engine agents, multi-agent solutions, tool calling, structured outputs, or workflow orchestration
• Knowledge of responsible AI practices, model risk, prompt-injection defenses, content safety, data-loss prevention, privacy, and AI security
• Experience creating AI evaluation datasets and measuring retrieval quality, source alignment, response completeness, latency, cost, and user satisfaction
• Experience with Azure AI Search, Microsoft Fabric, SharePoint Online, Microsoft Graph, or permission-aware enterprise knowledge solutions
• Document intelligence, OCR, classification, extraction, or unstructured-data processing experience
• Experience with PostgreSQL, vector databases, Semantic Kernel, Microsoft Agent Framework, or comparable AI orchestration technologies
• Front-end development experience with modern JavaScript frameworks such as React or Vue
• Knowledge of financial services, investment workflows, trust administration, tax, accounting, or related regulated and confidential environments
• Strong consultative, analytical, and problem-solving skills, with the ability to explain AI opportunities, limitations, risks, and tradeoffs to technical and nontechnical audiences
• Curiosity, sound judgment, and a commitment to continuous learning in a rapidly evolving AI landscape