Lead AI Full Stack Software Engineer

AI Full Stack Software Engineer – Investments Technology (Lead)Location: DMV Area (Baltimore / Washington DC) – HybridJob Type: Full Time, PermAbout The ClientA premier global asset management organization with more than 85 years of experience, providing investment solutions and a broad range of equity, fixed income, and multi-asset capabilities to individuals, advisors, institutions, and retirement plan sponsors.Role SummaryLead the design, development, and deployment of production-grade agentic AI systems embedded directly into the investment lifecycle Work in cross-functional squads across Investments, Investments Technology, and an internal AI lab to architect, build, and operationalize autonomous AI agents interacting with proprietary financial data, enterprise systems, and investment professionals AI agents will encompass investment research, quantitative analysis, portfolio management, and trading business functions Help define the technical standards, architectural patterns, governance frameworks, and engineering discipline required to scale AI responsibly across a global asset management platform ResponsibilitiesLead the design, development, and deployment of AI systems, providing technical mentorship and oversight to engineering squads Collaborate in cross-functional squads to ensure responsible AI solutions are scaled across the enterprise Partner with business stakeholders to develop agent-driven workflows that automate complex processes and generate actionable insights Champion engineering excellence by establishing and enforcing best practices in AI development, continuous integration, and code quality Oversee projects on agent orchestration, prompt engineering, and real-time, data-driven automation Prioritize and manage technical debt, driving ongoing improvements in AI platforms and infrastructure Proactively identify and pursue opportunities to apply AI agents for increased business value and operational efficiency Engage directly with business stakeholders to understand organizational needs, strategic priorities, and evolving market demands Make informed technology decisions that align with long-term strategy, organizational objectives, and fiscal responsibility Translate complex requirements into robust, scalable technology solutions that drive measurable business value Required QualificationsBS or MS in Computer Science or a related technical field, or equivalent experience 8+ years of progressive development experience in object-oriented languages such as Java, Python, or JavaScript, including demonstrated leadership of engineering teams Extensive hands-on expertise architecting and delivering cloud-native solutions using AWS or Azure, containerized microservices, and agent frameworks Exceptional analytical and problem-solving skills with a proven ability to guide teams through complex technical challenges Strong communication skills with the ability to influence both business stakeholders and technical teams Demonstrated commitment to engineering excellence through automated testing, code reviews, and continuous delivery Results-oriented leader with a passion for mentoring, fostering innovation, and staying current with emerging technologies Preferred QualificationsHands-on experience building LLM-powered or agent-based systems in production Experience with RAG, vector databases, MCP servers, agent orchestration frameworks, prompt evaluation, model benchmarking, and performance testing Experience with Amazon Bedrock AgentCore, AWS Kiro, and OpenAI Codex Background in asset management, financial markets, or quantitative research environments Solid understanding of financial markets, financial instruments, and financial datasets Work FlexibilityHybrid, up to three days per week from home