Sr. Solution Architect

Job Title: Generative AI Architect

Work Schedule: Flexible
Environmental Conditions: Office-based

Position Summary:

As a Generative AI Architect, you will design and develop cutting-edge Generative AI solutions that are scalable and high-performance. Your role will involve aligning AI solutions with business objectives, guiding engineering teams, and integrating AI technologies into various business applications. You will work closely with business analysts to ensure that solutions meet requirements and will present these solutions to stakeholders, demonstrating their benefits and features.

Key Responsibilities:

• Architectural Design:

  • Design scalable and high-performance architectures for Generative AI solutions.
  • Ensure alignment of AI solutions with both business goals and technical requirements.

• Solution Development:

  • Oversee the development and deployment of Generative AI solutions.
  • Collaborate with the Generative AI Center of Excellence to integrate solutions into business applications.

• Technical Leadership:

  • Provide technical guidance and mentorship to engineering teams.
  • Stay updated with the latest advancements in Generative AI technology and incorporate these into solutions.

• Business Engagement:

  • Work closely with Business Analysts to understand and tailor solutions to business requirements.
  • Present technical solutions to stakeholders, clearly communicating the benefits and features.

Qualifications:

• Education:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

• Experience:

  • 3+ years of experience in AI/ML and Data Engineering, with a focus on Generative AI technologies.
  • Proven track record in designing and deploying large-scale AI solutions.

• Technical Skills:

  • Proficiency in programming languages such as Python, Java, or C++.
  • Strong understanding of neural networks, deep learning, and natural language processing.
  • Experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Keras).
  • Knowledge of data architectures for Generative AI, including data ingestion, storage, and processing.
  • Experience with data pipeline development tools and methods.
  • Familiarity with large-scale data processing frameworks like Spark and Kafka.
  • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure).
  • Familiarity with DevOps practices and tools.

• Soft Skills:

  • Excellent problem-solving abilities and the capacity to thrive in a fast-paced environment.
  • Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Preferred Skills:

• Experience in developing Generative AI or AI/ML solutions for biotechnology companies.

Join us to lead innovative projects and shape the future of Generative AI technology. Apply now to be part of a dynamic team focused on cutting-edge AI solutions.

[Your Company Name] is committed to fostering an inclusive and diverse work environment. We encourage all qualified candidates to apply.