Build or integrate search, retrieval, ranking, and knowledge management capabilities.
Develop approaches that help AI systems understand business context, data assets, metadata, documentation, and other enterprise knowledge sources.
Improve the quality, relevance, traceability, and explainability of AI-generated outputs.
Collaborate with data engineering and platform teams to ensure AI solutions are well integrated with existing data ecosystems.
Technical Expertise
Apply strong programming skills, particularly in Python, to build robust AI and data-driven applications.
Use modern AI frameworks, cloud services, APIs, and development tools to deliver production-grade solutions.
Implement testing, monitoring, logging, evaluation, and performance optimization for AI workflows.
Support integration with cloud-native data and AI platforms, preferably Google Cloud Platform.
Apply established software engineering practices, including version control, CI/CD, documentation, and code review.
QUALIFICATIONS
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Mathematics, Statistics, or a related field.
3+ years of experience in AI engineering, software engineering, or machine learning engineering.
Strong programming skills in Python.
Practical experience building AI applications, ideally including large language models or generative AI.
Experience with modern AI engineering patterns such as retrieval-augmented generation, embeddings, semantic search, prompt engineering, model evaluation, or agent-based workflows.
Strong understanding of software engineering principles, APIs, data structures, testing, and production deployment.
Experience working with cloud platforms, preferably Google Cloud Platform; experience with AWS or Azure is also valuable.
Experience with MLOps, LLMOps, CI/CD, automated testing, monitoring, and model evaluation frameworks.
Ability to work with structured and unstructured data, including metadata, documentation, logs, or enterprise knowledge sources.
Strong analytical, problem-solving, communication, and stakeholder management skills.
Ability to work independently and collaboratively in fast-paced client delivery environments.
Preferred Qualifications
Experience working with financial services clients or in another regulated enterprise environment.
Familiarity with data platforms, data catalogs, metadata management, knowledge graphs, vector databases, or search technologies.
Experience building AI solutions that require traceability, human review, or strong governance controls.
Consulting experience or experience working across multiple stakeholders, teams, and delivery workstreams.
About Us
At Capco, we specialize in management consulting and technology transformation for the financial services industry. We combine innovative thinking with deep industry expertise to help our clients navigate complex change, deliver meaningful outcomes, and build future-ready organizations.
Our culture is entrepreneurial, collaborative, and inclusive. We empower our people to challenge the status quo, take ownership, and make an impact from day one.
Role Overview
We are looking for a Solutions Architect with experience in core banking systems and modern application development.
Scope of Services
Design and implement scalable solutions for core banking platforms.
Collaborate with business stakeholders and technical teams to define solution architecture.
Create technical designs aligned with business and technical requirements.
Provide architectural guidance and recommendations on best practices and technology choices.
Support system integration, performance optimization, and security initiatives.
Contribute to solution delivery throughout the project lifecycle.
Required Experience
Proven experience delivering solution architecture for enterprise applications.
Strong knowledge of core banking systems and banking processes.
Hands-on experience with React, Rust, and PostgreSQL.
Understanding of microservices, REST APIs, and cloud-native architectures.
Strong analytical, problem-solving, and communication skills.
Experience collaborating within Agile delivery teams.
Nice to Have
Experience with Kubernetes, Docker, or cloud platforms (AWS, Azure, or GCP).
Knowledge of event-driven architectures and messaging technologies.
Experience with CI/CD pipelines and DevOps practices.
RECRUITMENT PROCESS
HR Interview
Technical Interview
Client Interview
Feedback and Offer
We offer a flexible collaboration model based on a B2B contract, with the opportunity to deliver projects across a variety of initiatives within the financial services sector.
