Tredence - Gen-AI Solution Architect

As a Gen-AI Solution Architect at Tredence, you will be at the forefront of driving innovation in artificial intelligence and generative technologies. Your role will involve designing, developing, and implementing cutting-edge AI solutions tailored to meet the unique needs of our clients. You will work closely with cross-functional teams to understand business requirements, architect scalable AI solutions, and oversee their successful deployment. This position requires a deep understanding of AI technologies, excellent problem-solving skills, and the ability to communicate complex concepts effectively.

Your role will encompass various responsibilities, including but not limited to the following:

Key Responsibilities:

- Design end-to-end AI solutions leveraging generative technologies to address business challenges effectively.

- Architect scalable and efficient AI systems that integrate seamlessly with existing infrastructure and processes.

- Lead the development and implementation of AI models, algorithms, and applications.

- Conduct research to stay updated on the latest advancements in AI and generative technologies.

- Provide technical guidance and mentorship to development teams to ensure best practices are followed.

- Perform code reviews, troubleshoot issues, and optimize performance to deliver high-quality solutions.

- Work closely with data scientists, engineers, and product managers to drive innovation and achieve project goals.

- Define technical requirements, architecture standards, and best practices for AI development projects.

- Collaborate with sales and business development teams to support pre-sales activities, including solution demonstrations and client presentations.

- Stay informed about industry trends, emerging technologies, and competitive landscape to identify opportunities for innovation and growth.

- Act as a subject matter expert on AI and generative technologies, providing thought leadership within the organization and to external stakeholders.

Qualifications:

- Bachelor's or master's degree or Ph.D. in computer science, data science, or a related field.

- Proven experience as a Data Science Solution Architect, technical lead or a similar role in the AI domain.

- Deep understanding of artificial intelligence, machine learning, and generative technologies.

- Hands-on experience with AI frameworks and libraries such as TensorFlow, PyTorch, and OpenAI.

- Proficiency in programming languages such as Python, R, or Java.

- Hands-on experience with AI frameworks and libraries such as TensorFlow, PyTorch, and OpenAI.

- Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.

- Demonstrated leadership abilities with a track record of successfully leading AI projects from conception to delivery.

- Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms.

- Relevant certifications (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect) a plus.