Generative AI Engineer - A2C : Job Details

Generative AI Engineer

A2C

Job Location : New York,NY, USA

Posted on : 2025-07-15T01:44:24Z

Job Description :

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We are looking for a strategic and hands-on Generative AI Lead to spearhead the design, development, and deployment of cutting-edge AI systems. In this role, you will lead cross-functional teams to deliver scalable and impactful GenAI solutions that drive business transformation. The ideal candidate has deep expertise in AI/ML, especially in generative models, and a strong track record of technical leadership and execution.

Key Responsibilities:

  • Lead cross-functional teams of engineers, data scientists, and architects to build scalable, secure, and high-performing AI systems.
  • Drive the end-to-end development of generative AI solutions using technologies such as large language models (LLMs), diffusion models, and multimodal AI.
  • Architect and deploy AI/ML systems that integrate seamlessly with existing data platforms, APIs, and cloud infrastructure.
  • Collaborate with product, engineering, and business stakeholders to define AI strategy, roadmap, and success metrics.
  • Guide and mentor a team of AI/ML engineers and researchers, fostering a culture of innovation and continuous learning.
  • Stay up to date with the latest advancements in AI/ML, particularly in GenAI, and evaluate emerging tools, models, and frameworks.
  • Champion responsible AI principles, including model transparency, fairness, and governance.
  • Ensure implementation of MLOps best practices across the model lifecycle, including training, deployment, monitoring, and retraining.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field;
  • 5+ years of experience in AI/ML engineering or research, with at least 2 years leading technical teams.
  • Proven experience developing and deploying generative AI models (e.g., GPT, LLaMA, Stable Diffusion).
  • Strong understanding of deep learning frameworks such as PyTorch and TensorFlow.
  • Proficient in building AI applications using tools like Hugging Face Transformers, LangChain, OpenAI APIs, or similar platforms.
  • Solid knowledge of MLOps principles, including model versioning, CI/CD, and cloud-based deployment (AWS, GCP, Azure).
  • Excellent communication and leadership skills, with the ability to influence across technical and business teams.
Seniority level
  • Seniority levelMid-Senior level
Employment type
  • Employment typeFull-time
Job function
  • Job functionInformation Technology
  • IndustriesIT Services and IT Consulting

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