Senior AI Engineer

About Citco

Citco is a global leader in fund services, corporate governance and related asset services with staff across 80 offices worldwide. With more than $1 trillion in assets under administration, we deliver end-to-end solutions and exceptional service to meet our clients’ needs.

For more information about Citco, please visit www.citco.com

About the Team & Business Line

Proprietary software solutions and innovation are at the core of what differentiates Citco in the alternative investment space. Through our network of global development centres, Citco invests heavily in technology development, security, and infrastructure to ensure our clients continue to receive award-winning products that underpin our commitment to service excellence.

As a core member of our technology team, you will work with dedicated professionals to design, build and support secure, cloud-native, AI-enabled applications for the financial services industry. Using modern software engineering practices, AI-assisted development, and cross-functional collaboration, you will lead the design and delivery of complex AI powered solutions that ensure clients maintain seamless access to their critical information assets while keeping Citco ahead of industry innovation.

Within the AI Engineering team, you will lead the design and delivery of document intelligence solutions that classify financial and client documents, extract structured information, and automate complex business processes. You will work directly with business stakeholders, architects and engineering teams to design scalable AI-powered solutions leveraging large language models, natural language processing, machine learning, document understanding and agentic workflows.

In this senior role, you will be expected to influence solution architecture, establish implementation patterns, mentor engineers, and drive the successful delivery of AI initiatives from concept through production.

Quality Model and Ownership

This role aligns with the Developer profile within CDI Quality Model. Quality is built in, not tested in.

- The Platform Team defines requirements, acceptance criteria, service expectations and business risk.
- Quality Engineers define the verification strategy, quality gates, test harnesses and observability.
- AI agents accelerate implementation and testing within approved guardrails.
- The AI Engineer remains accountable for technical correctness, human review of AI-generated output, meaningful tests, secure implementation and production readiness. AI-generated work never self-approves.

About You

- You must have a Bachelor's degree in Computer Science, Engineering, Data Science or equivalent practical experience.
- Typically, 6-8 years of software engineering experience, including 3+ years designing and deploying AI/ML or Generative AI solutions in production.
- Demonstrated delivery of complex AI, machine-learning, generative AI, natural language processing and document-intelligence systems, including solution architecture, production deployment and operational support.
- Experience designing and implementing model fine-tuning, prompt optimization, retrieval tuning and model evaluation frameworks for production AI systems.
- Experience building intelligent document-processing solutions involving OCR, document classification, entity extraction, semantic retrieval and workflow automation.
- Strong experience with AWS and AI platforms such as Amazon Bedrock, Anthropic Claude, OpenAI, Azure OpenAI or comparable enterprise foundation-model services.
- Deep understanding of distributed systems, APIs, data design, security, performance, testing, observability and CI/CD.
- Strong knowledge of RAG, agents, structured outputs, model and prompt evaluation, guardrails and human-in-the-loop controls.
- Experience with AI orchestration frameworks such as LangChain, LlamaIndex or comparable technologies.
- Strong knowledge of machine-learning and data libraries such as scikit-learn, Pandas, NumPy, PyTorch, TensorFlow or Keras.
- Experience with relational databases, NoSQL technologies, vector databases and large-scale data processing.
- Practical experience with data validation, feature engineering, preprocessing, model training, deployment, monitoring and model-error analysis.
- Practical experience designing AI testing approaches and harnesses for deterministic checks, qualitative evaluation, retrieval quality, hallucination risk, document extraction, agent behavior and regression detection.
- Familiarity with Azure AI, Azure Machine Learning, Azure OpenAI, Google Cloud AI or another cloud provider is beneficial.
- Proven ability to make sound technical trade-offs, influence direction and mentor engineers.
- Clear written and verbal communication with technical and non-technical stakeholders.
- Financial services or regulated-environment experience is desirable.

AI-Native Engineering Expectations

- Use AI coding assistants to accelerate learning, implementation, testing and documentation within team guardrails.
- Review generated code, tests, designs and documentation for correctness, security, performance and intent.
- Design repeatable evaluations for prompts, retrieval, document extraction, structured outputs and agent workflows.
- Use test harnesses and observable measures to detect regressions in response quality, grounding, extraction accuracy, latency and reliability.
- Maintain traceability from accepted requirements through implementation, tests and release evidence.
- Define responsible patterns for AI-assisted design, implementation, testing and documentation.
- Require independent human validation when the same AI workflow generates implementation and tests.
- Establish measurable evaluation criteria and representative datasets before accepting AI behavior.
- Ensure harnesses cover adversarial, boundary, security, tenant-isolation and degraded-dependency scenarios where relevant.
- Use production feedback and observability to improve models, prompts, retrieval, controls and engineering standards.

Our Benefits

Your well being is of paramount importance to us, and central to our success. We provide a range of benefits, training and education support, and flexible working arrangements to help you achieve success in your career while balancing personal needs. Ask us about specific benefits in your location.

We embrace diversity, prioritizing the hiring of people from diverse backgrounds. Our inclusive culture is a source of pride and strength, fostering innovation and mutual respect.

Citco welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection.