AI Architect

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

Role Summary

We are seeking a hands-on and detail-oriented Lead AI Architect for our team. In this role, you will be responsible for designing, developing, deploying and maintaining robust Machine Learning and Generative AI solutions. You will partner with value streams, businesses, and functions to deliver scalable, production-grade AI systems that drive business value. The ideal candidate will have a strong engineering mindset, excellent communication skills, and a passion for driving innovation through AI technology.

Leading the design, development, and deployment of AI/GenAI solutions aligned to business objectives. Driving AI strategy, architecture, and delivery across use cases and programs

Key Responsibilities

AI/ML Solution Architecture

• Design end-to-end machine learning and AI systems that solve group-wide strategic problems; ensure architecture support scalability, real-time inference, and model governance

Model Development & Experimentation

• Develop, train, and validate machine learning models using advanced techniques (deep learning, ensemble methods, transfer learning, LLMs, agentic systems); conduct rigorous A/B testing and statistical validation

Production AI/ML Systems

• Build production-grade AI-ML pipelines including model training, evaluation, deployment, monitoring, and retraining workflows; implement AIOps, MLOps for models & LLMs; ensure model reproducibility and versioning

AI Guardrails & Safety

• Implement guardrails, safety frameworks, and compliance controls for AI/ML systems; ensure models meet regulatory requirements, fairness standards, explainability requirements, and business risk tolerances

Responsible AI adoption

• Collaborate with stakeholders to ensure responsible AI practices are adopted at scale, with a clear definition of metrics and benchmark for the same

Support for AI Use Cases

• Provide guidance and support to value streams, businesses, and functions in the development of their own AI use cases, ensuring alignment with the Group-wide AI Strategy.
• Drive adoption of AI/ML solutions across business units; translate business problems into AI/ML opportunities; work with product teams to package AI/ML capabilities into scalable products and services

Model Monitoring & Governance

• Implement monitoring frameworks for model performance drift, data drift, and business metrics; establish governance processes for model versioning, approval, and retirement

Stakeholder Engagement

• Build and maintain strong relationships with stakeholders across the organization, including business leaders, technical teams, and compliance functions.

The rest of this description is on the employer’s own page.