Lead 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.

Requirements

BS or MS in Computer Science or a related technical field (or equivalent experience), with 8+ years of progressive professional development experience in object-oriented languages (such as Java, Python, or JavaScript), including demonstrated leadership of engineering teams.
Extensive hands-on expertise in 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.
Able to communicate with and influence both business stakeholders and technical teams.
Demonstrated commitment to engineering excellence through setting and upholding standards for automated testing, code reviews, and continuous delivery.
Results-oriented leader with a passion for mentoring others, fostering innovation, and staying at the forefront of emerging technologies.
Hands-on experience building LLM-powered or agent-based systems in production preferred.
Experience with retrieval-augmented generation (RAG), vector databases, MCP servers, agent orchestration frameworks, prompt evaluation and iteration, model benchmarking, and performance testing preferred.
Experience with Amazon Bedrock AgentCore, AWS Kiro, and OpenAI Codex preferred.
Experience in asset management, financial markets, or quantitative research environments preferred.
Solid understanding of financial markets, financial instruments, and financial datasets preferred.

Benefits

Competitive compensation
Annual bonus eligibility
A generous retirement plan
Hybrid work schedule
Health and wellness benefits, including online therapy
Paid time off for vacation, illness, medical appointments, and volunteering days
Family care resources, including fertility and adoption benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI systems designAI developmentobject-oriented programmingJavaPythonJavaScriptcloud-native solutionsAWSAzureautomated testing

Soft Skills

technical mentorshipcollaborationanalytical skillsproblem-solvingcommunicationinfluenceleadershipresults-orientedinnovationmentoring