AI Technical Architect

This job is with Capco, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

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 Architect, you’ll play an integral role using your experience and skills to contribute to the quality and implementation of our projects.

We are seeking a visionary and highly skilled Generative AI Architect to lead the design and implementation of our next-generation AI systems, with a strong focus on foundation models and agentic AI. This role is pivotal in defining the architectural blueprint for enterprise-scale generative AI solutions, ensuring they are robust, scalable, secure, and aligned with our strategic business objectives. The ideal candidate will be a thought leader, capable of translating complex business challenges into innovative AI architectures and guiding cross-functional teams from conceptualization to production deployment.

What You’ll Get to Do:

Generative AI Strategy & Architecture:

Define and evolve the enterprise-wide architectural vision and strategy for Generative AI and agentic systems, aligning with overall business goals and technology roadmaps.

Lead the design of modular, reusable, and scalable architectural patterns for GenAI and agentic applications across various domains.

Design and implement robust, secure solution patterns that can be operationalized across enterprise environments.

Foundation Models Expertise:

Deep expertise in various foundation models (e.g., LLMs, vision models, multimodal models) including their architectures, strengths, limitations, and fine-tuning techniques.

Evaluate, select, and integrate appropriate foundation models for specific use cases, considering factors like performance, cost, and ethical implications.

Develop strategies for model pre-training, fine-tuning, and continuous improvement.

Agentic AI Systems:

Architect and implement intelligent agentic AI systems using frameworks like Lang Chain, Lang Graph, CrewAI, Auto Gen, or similar.

Design complex agentic workflows, including planning, reasoning, tool integration, memory management, and human-in-the-loop interactions.

Lead the integration of agentic AI solutions with existing enterprise systems and define integration standards (e.g., RESTful APIs, microservices).

Prompt Engineering & Orchestration:

Apply advanced prompt engineering techniques to optimize AI model performance and steer outputs towards desired outcomes, minimizing bias and hallucinations.

Oversee orchestration of AI components and services, including LLM APIs, vector databases, and external tools.

Develop and implement Retrieval Augmented Generation (RAG) based solutions for enhanced contextual understanding and factual accuracy.

Scalable Infrastructure & MLOps:

Design and build cloud-native, containerized infrastructure (e.g., Kubernetes, ECS, EKS on AWS, Azure, GCP) for deploying GenAI models and agentic systems at scale.

Implement robust MLOps pipelines for the continuous integration, delivery, deployment, monitoring, and management of AI models in production.

Ensure AI solutions comply with regulatory requirements, data privacy, and ethical AI standards.

Innovation & Thought Leadership:

Stay abreast of the latest advancements in AI, machine learning,…