Gen AI Architect / Technical Lead

Perfict Global; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

An established industry player is on the lookout for a talented Generative AI Technical Lead to spearhead innovative AI solutions. In this pivotal role, you will guide a team of engineers in developing cutting-edge Generative AI applications, ensuring they are scalable and efficient. Your expertise will drive the creation of a multi-agent framework and enhance technology assistants and data agents. This opportunity offers a dynamic environment where your contributions will shape the future of AI technology, making it an exciting prospect for anyone passionate about advancing their career in this rapidly evolving field.

Benefits

Medical Insurance

Dental Insurance

Vision Insurance

Fun Company Culture

Qualifications

• 10+ years of experience in AI solutions design and development.
• Strong proficiency in Java and Python programming languages.
• Experience leading development of large Generative AI systems.

Responsibilities

• Lead development of Generative AI solutions and multi-agent frameworks.
• Collaborate with teams to architect and test AI Agents.
• Design scalable engineering solutions and applications.

Skills

Java

Python

Machine Learning

Generative AI

Prompt Engineering

Graph-based Systems

Software Engineering Best Practices

Version Control (Git)

Communication Skills

Education

Master's or Ph.D. in Computer Science

Tools

Git

Job description

About Us:

Perfict Global is a leading IT consulting services provider focused on providing innovative and successful business workforce solutions to Fortune 500 companies. Our trained and experienced professionals constantly strive to bring together the best technologies available to manage clients' complex business and technology, participate in implementation activities and collaborate in new ways to meet client needs.

We provide excellent benefits such as Medical, Dental, Vision, and a fun company culture!

Job Description:

• We are seeking a talented Generative AI Technical Lead with both Data Science and Software Engineering background to drive development and adoption of AI Solutions.
• In this role, you will contribute to architecting, designing, and leading a small team of GenAI Client Engineers to build a multi-agent framework.
• Your primary responsibility will be to lead the development of Generative AI solutions that focus on technology improvements such as Technology Assistants & Data Agents.

Responsibilities:

• Collaborate with cross-functional teams such as User Teams, Data Scientists, Core Development Team, and Partner Team Developers to identify requirements and architect and lead the development and testing of the AI Agents.
• Design and develop Engineering Solutions & generative AI Applications, ensuring scalability, efficiency, and maintainability of such solutions.
• Assist in Product Roadmap creation & define product requirements.
• Architect and Design a large enterprise-scale framework such as Knowledge Graph.
• Write clean, high-performance, high-quality, maintainable code.
• Design & Implement large-scale Clustering, Topic Management systems.
• Implement prompt engineering techniques to fine-tune and enhance LLMs for better performance and application-specific needs.
• Stay abreast of the latest advancements in the field of Generative AI Application Development and actively contribute to the research and development of new Generative AI Applications.

Requirements:

• A Master's or Ph.D. degree in Computer Science or a related field.
• Minimum 10 years experience with at least 5 years in designing and building Client/AI Solutions.
• Proven experience working in a large Technology Startup or AI Software Product, leading development and adoption of the product or platform.
• Strong proficiency in programming languages such as Java, Python, Client Platforms, LLMs, Machine Learning, etc.
• Experience in building Graph-based systems.
• Experience architecting & leading development of large Generative AI systems or platforms.
• Experience in the development of technical products or platforms for large enterprises.
• Solid knowledge of software engineering best practices, including version control systems (e.g., Git), code reviews, and testing methodologies.
• Experience with large language models (LLMs) & prompt engineering techniques, vector DBs (Nice to have).
• Strong communication skills to effectively collaborate and present findings to both technical and non-technical stakeholders.
• Proven ability to adapt and learn new technologies and frameworks quickly.
• A proactive mindset with a passion for continuous learning and research.