A leading global investment management organization is seeking a senior AI engineering professional to drive the development and implementation of advanced artificial intelligence solutions across its investment operations platform.
This highly visible role combines hands-on software engineering, applied AI expertise, and a strong understanding of capital markets. The successful candidate will identify opportunities to modernize complex financial workflows, improve operational efficiency, enhance risk management, and deliver scalable technology solutions that generate measurable business value.
Working directly with senior business leaders, investment operations professionals, and technology teams, this individual will lead initiatives from initial concept through production deployment. The position requires someone who can operate both strategically and technically-shaping the AI roadmap while remaining actively involved in architecture, development, and implementation.
Key ResponsibilitiesAI Engineering & Solution Development- Architect, develop, and deploy AI-powered applications designed to automate complex financial operations and improve business decision-making.
- Build sophisticated solutions leveraging large language models (LLMs), machine learning, retrieval-augmented generation (RAG), and autonomous or multi-agent AI frameworks.
- Design intelligent workflows capable of processing financial data, identifying exceptions, reconciling information, and supporting operational risk management.
- Develop scalable backend services, APIs, and data processing pipelines to integrate AI capabilities with existing enterprise platforms.
- Establish effective testing, monitoring, and performance evaluation frameworks to ensure reliability, accuracy, and production readiness.
Business Transformation & Strategic Delivery- Partner with Operations, Middle Office, Finance, and Risk stakeholders to understand existing processes, identify inefficiencies, and determine where AI and automation can deliver meaningful improvements.
- Translate complex business challenges into technical requirements, solution architectures, and executable development plans.
- Manage multiple initiatives simultaneously, overseeing solution design, prototyping, implementation, and ongoing optimization.
- Develop business cases and communicate project priorities, expected benefits, technical considerations, and delivery timelines to senior leadership.
- Serve as a trusted technical advisor, helping business teams evaluate emerging AI technologies and adopt solutions that improve productivity and control effectiveness.
Data Engineering & Systems Integration- Design and maintain data pipelines using Python, SQL, and modern integration technologies to support AI-driven applications.
- Work with structured and unstructured financial data, ensuring consistency, accuracy, and accessibility across systems.
- Integrate AI solutions with internal applications, databases, and third-party platforms through APIs and other enterprise technologies.
- Collaborate with engineering and infrastructure teams to enhance performance, scalability, and system reliability.
Governance, Controls & Collaboration- Work closely with enterprise technology and AI teams to ensure consistency with architecture standards, development frameworks, and technology strategy.
- Incorporate appropriate security, auditability, model evaluation, and human oversight into AI-enabled workflows.
- Partner with Compliance, Information Security, Risk, and Legal teams to ensure solutions meet the requirements of a highly regulated financial environment.
- Promote the adoption of AI technologies through stakeholder engagement, knowledge sharing, and practical implementation guidance.
Required Qualifications- 8+ years of experience in software engineering, machine learning, data science, or intelligent automation, with demonstrated success delivering enterprise technology solutions.
- Significant hands-on experience developing and deploying production-grade AI applications, particularly solutions leveraging generative AI and large language models.
- Expertise in agentic AI architectures, LLM orchestration, retrieval-augmented generation (RAG), and AI workflow automation.
- Advanced programming skills in Python, pandas, NumPy, and SQL, with experience building APIs, integrating databases, and developing scalable data pipelines.
- Strong software engineering fundamentals, including application architecture, testing, deployment, performance optimization, and production support.
- Experience with web development technologies, including JavaScript, HTML, CSS, and modern frameworks such as React or Angular.
- Strong understanding of capital markets, financial instruments, derivatives, and the trade lifecycle.
- Familiarity with middle office, trade processing, reconciliations, risk operations, or financial controls is highly desirable.
- Experience working within investment management, hedge funds, investment banking, capital markets technology, or financial technology organizations.
- Exposure to KDB/q or other high-performance financial data technologies is advantageous.
- Demonstrated ability to engage senior business stakeholders, assess complex requirements, and deliver practical technology solutions.
- Strong communication, analytical, and project execution skills, with the ability to manage competing priorities and deliver results in a demanding environment.
