AI Technical Architect

As an AI Technical Architect at Capco, your main responsibilities will include developing functionalities for our GenAI chat platform, designing chatbot solutions, and translating business requirements into enterprise-architecture-aligned solutions. You will also implement Large Language Models (LLMs), optimize system performance, and collaborate with cross-functional agile teams to enhance capabilities.

To be considered for the AI Technical Architect position at Capco, ideal candidates should possess a Bachelor's degree in computer science, engineering, or a related field, along with demonstrated experience in developing chatbot solutions. Familiarity with cloud technologies such as AWS, programming languages like Python and Java, and expertise in API interactions with LLMs are also essential.

Capco is dedicated to nurturing talent among its AI Technical Architects by providing access to ongoing training opportunities, mentorship from experienced professionals, and the chance to work on innovative projects. The collaborative and inclusive culture at Capco allows you to learn quickly and grow your career while making significant contributions to our clients’ success.

As an AI Technical Architect at Capco, you will work with cutting-edge technologies such as Large Language Models (LLMs), cloud platforms (primarily AWS), and a variety of programming languages including Python, NodeJS, and Java. Experience in prompt engineering and an understanding of AI/ML trends will also be crucial in your role.

The culture at Capco for AI Technical Architects is vibrant, creative, and supportive. With an emphasis on innovation and collaboration, employees are encouraged to share ideas, tackle tough challenges, and drive meaningful results. Capco values diversity and fosters an inclusive environment where everyone can thrive and contribute their unique perspectives.

When answering this question, highlight specific projects you've worked on that involved chatbot development. Discuss the technologies you used, your role in the project, and how you collaborated with your team to overcome any challenges. Be sure to express your understanding of the end-to-end solution patterns for chatbots.

In your response, outline your strategies for optimizing AI solution performance related to latency, cost, concurrency, and security. You might mention specific tools or techniques you have used in past projects to balance these factors effectively, ensuring high accuracy without compromising on speed or security.

When discussing best practices for implementing Large Language Models (LLMs), consider mentioning aspects such as prompt engineering, data quality, model selection, and performance evaluation. Provide examples where you have successfully applied these practices to achieve specific outcomes.

It's important to address security and compliance holistically. Talk about your experience assessing risks, implementing authentication and authorization measures, and adhering to relevant regulations. Mention collaborative approaches to ensure compliance across teams and stakeholders.

Share your understanding of Agile methodologies and highlight your experience in Agile teams. Focus on how you have contributed to sprints, daily standups, retrospectives, and product backlogs. Provide examples of how Agile practices have improved your project outcomes.

Discuss the various aspects to consider when designing an architecture, such as balancing accuracy versus cost, performance vs. scalability, and security vs. usability. Give examples of how you've navigated these trade-offs in past projects.

Discuss your communication strategy with stakeholders, emphasizing the importance of transparency and regular updates. Outline how you tailor your communication to different stakeholder groups based on their technical knowledge and the level of detail required.

Provide an overview of a specific project, outlining your role, the goals, the challenges you faced, and the eventual outcomes. Emphasize what made the project successful and any metrics you can share to demonstrate positive results.

Talk about your preferred programming languages, development environments, and any AI-specific tools or frameworks you find particularly beneficial. Provide reasoning for your preferences based on past experiences and the effectiveness of these tools in project delivery.

Describe your approach to continuous learning, including attending conferences, engaging with online communities, reading industry publications, or pursuing relevant courses. Share a few examples of recent trends you've integrated into your work.