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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Agentic AI Engineering, VP - State Street Investment Management - **Company:** State Street - **Location:** Boston, MA, United States - **Experience:** Experienced - **Salary:** $120,000.0 - $202,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Programming Tools, Github, Python (Programming Language), SQL Databases, Unstructured Data, Workflow Management Systems, Rust (Programming Language), Scripting, Google Cloud, GitHub Copilot, Multi-Agent Systems, AI Platforms, Information Technology, Virtual Agents, Multiplatform, Programming Languages - **Published:** August 29, 2026 - **Apply:** https://www.careerbuilder.com/job-details/principal-agentic-ai-engineering-vp-state-street-investment-management-boston-ma--009bbd01-6f6e-413c-ba95-919ecd240a8d ## About the Role * Bachelor's degree in Computer Science or a related engineering discipline. * 10+ years of technology experience in financial services, including senior-level engineering leadership. * Hands-on experience designing and implementing multi-agent workflows, including human-in-the-loop command center patterns and/or autonomous agentic workflows. * Hands-on experience designing and implementing modern, open-architecture AI platforms supporting ML/DL, GenAI, and agentic AI (Google Gemini Enterprise and Vertex AI preferred). * Extensive experience designing and implementing enterprise agentic infrastructure pipelines, using cloud-agnostic approaches across major providers (e.g., GCP, AWS, Azure). * Proficiency with modern AI platforms (e.g., Google Gemini Enterprise, AWS Bedrock) and programming languages (e.g., Python, SQL, Rust); familiarity with AI-assisted development tools (e.g., Anthropic Code, GitHub Copilot, Codex). * 4+ years of experience working with unstructured data sources (e.g., sales notes, 13F filings, news, social media). * Excellent written and verbal communication skills, with the ability to influence and align stakeholders across geographies. * Demonstrated ability to deliver results with strong attention to detail, sound judgment, and a direct, constructive approach. Preferred Qualifications * Experience serving as an Agentic Engineer within a financial institution. * Experience implementing patterns and tooling for unstructured data., Amazon Web Services (AWS), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Best Practices, Cloud Computing, Coaching, Communication Skills, Compensation and Benefits, Computer Science, Data Analysis, Detail Oriented, Ecosystems, Financial Services, GCP (Good Clinical Practices), Genetics, GitHub, Incentive Programs, Investment Management, Leadership, MCP - Microsoft Certified Professional, Machine Tool, Mentoring, Microsoft Windows Azure, Military, Multiplatform/Cross-Platform, Presentation/Verbal Skills, Profit & Loss, Programming Languages, Programming Tools, Python Programming/Scripting Language, Risk Management, SQL (Structured Query Language), Sales, Social Media, Tax Planning, Technical/Engineering Design, Unstructured Data, Writing Skills ## Description State Street Investment Management's Data, Analytics & AI Services (DAAIS) team is seeking a Agentic AI Engineering Principal, Vice President. This role owns the design and engineering for modern AI ecosystem and its agentic AI capabilities supporting the Investment Management business. The successful candidate brings deep, hands-on expertise in agentic architecture, workflow design, AI agent implementation, protocol integration (e.g., A2A, MCP), and containerized services, along with proven leadership experience., * Lead an agile agentic AI engineering team to deliver scalable solutions that meet evolving business and client needs. * Partner with global stakeholders to execute cross-border initiatives and continuously strengthen engineering standards and best practices. * Coach and mentor junior agentic engineers, building a culture of continuous learning, accountability, and high performance. * Design agentic solution and implementation, including agent workflows; agent enablement across platform components; and governance (registration, security, observability, and monitoring) for AI agents. * Design and lead the implementation of agentic AI capabilities, including architecture patterns, best practices, framework and tool selection, development, integration, and deployment. ## Related Videos - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [JavaScript? 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