Lead AI Engineer - Principal Consultant
About the team:
At the Capco Technology Delivery Center, we are dedicated to the financial services industries. Our professionals combine innovative thinking with unrivalled industry and domain expertise to offer our clients consulting expertise, complex technology and package integration, transformation delivery, and managed services, to move their organizations forward. Through our collaborative and efficient approach, we help our clients successfully innovate, increase revenue, manage risk and regulatory change, reduce costs, and enhance controls. Our teams stay at the forefront of industry trends and technologies that are driving innovation. From strategy to launch, we are adept at delivering across the full product lifecycle.
About the Job:
As a member of the Capco Technology Delivery Team, you’ll bring practical knowledge of agile development methodologies and engineering best practices. As an AI Engineer, you’ll play an integral role using your experience and skills to contribute to the quality and implementation of our projects.
What You’ll Get to Do:
- Architect and develop autonomous AI systems that integrate LLMs with multi-modal capabilities (text, image, audio, and video) to support complex, real-world tasks
- Create robust agentic workflows enabling AI agents to interact autonomously with data sources and external APIs using advanced prompt engineering and retrieval-augmented generation (RAG)
- Fine-tune and optimize pre-trained large language models and multi-modal models for targeted use cases, ensuring high performance and low latency in production.
- Implement distributed training and scalable MLOps pipelines for continuous model improvement
- Collaborate with cross-functional teams—research, product, and engineering—to embed AI capabilities into products and services
- Evaluate and select appropriate AI frameworks (e.g., LangChain, LlamaIndex) to integrate agent components seamlessly with enterprise systems
- Build full-stack applications (front-end interfaces and back-end APIs) using modern languages and frameworks (React/Angular, Python, Java, Node.js)
- Develop and enforce testing protocols and monitoring systems to ensure AI outputs are accurate, reliable, and ethically aligned
- Proactively identify and mitigate risks such as hallucinations, bias, and security vulnerabilities within deployed AI systems
- Manage project timelines and collaborate with business groups in an agile environment, considering cost-benefit trade-offs for GenAI solutions
- Stay current on advancements in generative AI, agentic systems, and multi-modal models; experiment with novel architectures and workflows
- Develop quick prototypes and evaluate emerging technologies in the GenAI space in collaboration with technical teams
What You’ll Bring with You:
The Essentials:
- Bachelor’s degree or above in Computer Science, Engineering, Information Technology, Artificial Intelligence, or a related field (STEM)
- Hands-on experience in AI/ML engineering, with demonstrable work deploying LLMs at scale (Multi-modal models and autonomous agent systems preferrable)
- Proven experience building back-end application components and APIs in Python
- Proficiency in designing and executing complex prompt strategies and intput/output data validation models to achieve desired outputs from LLMs
- Experience monitoring AI applications using popular observability tools (e.g. Langfuse, Langsmith) to ensure seamless performance and monitoring
- Strong skills in data transformations for both structured and unstructured data; ability to integrate these processes into scalable pipelines
- Experience deploying AI models and full-stack applications using cloud-native tools
- Strong grasp of DevOp/MLOps best practices, including version control and CI/CD
- Excellent problem-solving, debugging and rapid prototyping
- Strong project management skills to coordinate effectively with technical and business teams
- Demonstrated understanding of cost-benefit trade-offs when employing GenAI solutions, ensuring efficient resource utilization
- Excellent communication skills and a collaborative mindset, with experience working in multi-disciplinary, agile teams
Preferable to have:
- Experience in deep learning frameworks
- Experience working with agentic AI frameworks
- Experience building user-facing front-end applications
- Knowledge and implementation of Model Context Protocol
Why Capco?
A career at Capco is a chance to help reshape the competitive landscape in financial services. We launch new banks, transform existing ones, and help our clients navigate complex change. As consultants, we work on the front-end business design all the way through to technology implementation.
We are the largest Financial Services focused consultancy in the world, serving everyone from global banks to emerging FinTechs, from strategy through digital transformation, design, business consulting, data and analytics, cyber, cloud, technology architecture, and engineering.
Capco is a young and growing firm. We maintain an entrepreneurial spirit and growth mindset, and have minimal bureaucracy. We have no internal silos that get in the way of your career opportunities or ability to focus on our clients and make a difference to the business.
We offer the opportunity for everyone to learn rapidly, take on tough challenges, and get promoted quickly. We take pride in our creative, collaborative, diverse, and inclusive culture, where everyone can #BYAW.
We offer highly competitive benefits, including medical, dental, and vision insurance, a 401(k) plan, tuition reimbursement, and a work culture focused on innovation and creation of lasting value for our clients and employees.
Ready to Take the Next Step?
If this sounds like you, we would love to hear from you. This is an opportunity to make a difference and contribute to a highly successful company with a significant growth trajectory.
