Tech Lead TECHM-JOB-24803

Keylent, Inc.

$120K — $150K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years of relevant experience in AI and architecture roles.
  • Proven ability to collaborate closely with clients and customer stakeholders.
  • Expertise in generative AI techniques including GANs, VAEs, and Transformer models.
  • Proficient in AI frameworks like TensorFlow, PyTorch, and Keras.
  • Experience in end-to-end AI solution development for real-world applications.
  • Exceptional communication and interpersonal skills for engaging with diverse stakeholders.
  • Consulting experience with a strong track record of providing actionable guidance.

Responsibilities

  • Collaborate with stakeholders to identify requirements for generative AI solutions.
  • Design, develop, and implement generative AI architectures and models.
  • Work cross-functionally to ensure successful delivery of AI projects.
  • Lead technical and architectural decision-making processes for AI solutions.
  • Translate complex AI concepts into clear language for non-technical audiences.
  • Advise clients to enhance the value of their generative AI investments.
  • Monitor and optimize the performance of generative AI models.

Benefits

  • Onsite or hybrid work options based in Atlanta, GA.
  • Opportunity to mentor and guide junior team members.
  • Access to the latest advancements in generative AI and machine learning.
  • Involvement in cross-functional team collaborations.
Full Job Description
Tech Lead TECHM-JOB-24803
Title: Generative Artificial Intelligence Architect
Experience : 10 + Years
Location: Atlanta, GA (Onsite or Hybrid on client location)
Responsibilities:

Collaborate closely with customer stakeholders to understand their requirements, goals, and expectations for generative AI solutions.
Design, develop, and implement generative AI architectures, models, and solutions that meet customer needs and align with industry best practices.
Work cross-functionally with other teams, including data engineers, software developers, and project managers, to ensure the successful delivery of end-to-end AI projects.
Lead the decision-making process for technical and architectural choices, ensuring that solutions are scalable, maintainable, and cost-effective.
Communicate effectively with both technical and non-technical stakeholders, translating complex AI concepts into clear, understandable language.
Provide expert guidance and advice as a consultant to help customers maximize the value of their generative AI investments.
Monitor and evaluate the performance of generative AI models, identify areas for improvement, and implement strategies to optimize solutions.
Stay current with the latest advancements in generative AI, machine learning, and related technologies, and incorporate new ideas and techniques into the team's work.
Mentor and guide junior team members in adopting generative AI technologies and best practices.
Required Skills:
Experience in a customer-facing role or in a role requiring close collaboration with clients.
Familiarity with Databricks, Client Flow, Driver H20 and Azure cloud ecosystem.
Strong expertise in generative AI techniques, such as GANs, VAEs, and Transformer models.
Proficiency in popular AI/Client frameworks and libraries, such as TensorFlow, PyTorch, Keras, and scikit-learn.
Experience in designing, developing, and implementing end-to-end AI solutions for real-world applications.
Excellent communication and interpersonal skills, with the ability to work effectively with diverse stakeholders.
Strong decision-making and problem-solving abilities, with a focus on pragmatic and efficient solutions.
Experience in consulting, with a proven track record of providing actionable advice and guidance to customers.
A bachelor's degree in computer science, engineering, or a related field. A master's degree or higher is preferred.
Nice-to-Have Skills:
Knowledge of Agile/Scrum methodologies and project management practices.

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