Technical Architect - Gen AI

As a Technical Architect at Vichara, your primary responsibilities will include guiding the solution design for scalable AI-enabled products and cloud-native applications. You'll focus on designing applications that utilize Generative AI and large language models while being actively involved with coding to develop proofs of concepts. This role combines a strategic overview of tech architecture with hands-on development, making it perfect for someone who loves to innovate in the AI space.

To qualify for the Technical Architect position at Vichara, you should possess strong expertise in architecting and designing full-stack applications, particularly with Python. You need at least five years of experience in solution design across front-end and back-end development, as well as a proven track record of implementing scaled Generative AI solutions in production. A recent Computer Science graduate from a top institution will also be considered, especially if you bring experience in working with large language models and multi-modal AI.

The compensation for the Technical Architect position at Vichara is competitive, with a starting salary of approximately $150K. Additionally, Vichara offers attractive benefits such as extended health care, dental care, and life insurance, ensuring that not only your professional life but also your personal welfare is supported.

Working as a Technical Architect at Vichara means engaging in a collaborative and innovative environment. You'll be surrounded by talented experts in the field who are dedicated to developing groundbreaking AI solutions for the financial sector. Vichara fosters a culture of creativity and continual learning, encouraging employees to bring their ideas to the table and contribute actively to the evolution of financial technology.

At Vichara, cloud-native applications are central to our strategy, especially for the Technical Architect role. You will be involved in the design and architecture of these applications, ensuring they are scalable and efficient. The team emphasizes utilizing state-of-the-art technology and practices in cloud computing, allowing you to explore innovative methods for integrating Generative AI and improving system performance across various platforms.

When answering this question, focus on specific projects or experiences that showcase your understanding and implementation of Generative AI. Describe challenges you faced, how you addressed them, and the impact of your solutions. Highlighting any relevant technologies you used will also demonstrate your hands-on expertise in this area.

In your response, discuss critical considerations such as performance, scalability, maintainability, and usability. Explain your approach to balancing these factors while leveraging cloud technology, particularly how they apply to financial applications, and your past experiences where you prioritized these aspects.

Use this opportunity to describe a specific project where you successfully coordinated with various stakeholders. Emphasize your communication skills, how you ensured everyone's input was valued, and the strategies you employed to keep the project on track. Sharing the outcome will also illustrate your ability to lead effectively.

Here, you can share your methods for keeping current, such as attending conferences, participating in online forums, following relevant tech blogs, or engaging with communities. Mention how you typically integrate new knowledge into your work and how it has influenced your designs and projects.

Discuss your methodical approach to development, including stages such as requirement gathering, system design, prototyping, and testing. Emphasize the importance of feedback and iteration in your process, and how a collaborative environment benefits the delivery of robust solutions.

Provide a concrete example where you've effectively used Python in application development, describing the project's context, your role, the libraries or frameworks you employed, and any notable results achieved. This gives insight into your coding ability and familiarity with Python's ecosystem.

Articulate how you believe frequent communication and collaboration between technical teams and stakeholders is crucial. Discuss ways to bridge the gap, such as establishing clear objectives, using agile methodologies, or engaging in regular meetings to ensure that business goals are effectively reflected in technical solutions.

Describe your systematic approach to troubleshooting, emphasizing your analytical skills and attention to detail. Share techniques you employ to identify issues and test fixes, and the importance of documentation in ensuring rapid resolution and knowledge transfer within teams.

Explain how you explore and implement large language models within your designs to enhance user experiences or automate tasks. Providing examples of how you've integrated them into applications demonstrates your practical knowledge and innovative thinking in utilizing AI technologies.

In your response, highlight your passion for AI and financial technology, and what draws you to Vichara specifically. Discuss how the company's mission aligns with your career goals and the value you believe you can add to the team, showcasing your excitement for the role and the potential for growth.