Location:Boston, MASalary Range:Competitive and commensurate with experienceIntroductionWe are seeking a seasoned and forward-thinking Generative AI Lead to drive our AI initiatives. The ideal candidate will possess extensive expertise in generative AI technologies, exceptional leadership abilities, and a demonstrated history of successfully delivering scalable AI solutions. In this role, you will lead a team of GenAI developers in designing, developing, and deploying cutting-edge generative AI models and applications that create significant business impact.Required Skills & Qualifications
Applicants must be able to work directly for Artech on W2
6 years of experience in AI/ML development, with significant focus on generative AI technologies on Google Cloud Platform, especially with Vertex AI.
Proven leadership experience managing AI teams and delivering complex AI projects.
Strong expertise in Python and machine learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.
Deep understanding of generative AI techniques including large language models, GANs, VAEs, diffusion models, and AI agents.
Experience with GCP and AI model deployment at scale.
Excellent problem-solving, project management, and communication skills.
Ability to drive innovation and influence strategic decisions.
Bachelor's/Master's in computer science, AI, Data Science, or related field.
6 years in AI/ML with 2 years in Generative AI.
Preferred Skills & Qualifications
Experience with AI agents.
Familiarity with multimodal AI models.
Day-to-Day Responsibilities
Lead the complete development and deployment lifecycle of generative AI solutions on GCP, ensuring they align with business objectives and technical requirements.
Develop and define the AI strategy and roadmap, emphasizing generative AI capabilities and their seamless integration into products and services.
Supervise the design, fine-tuning, and optimization of large language models (LLMs) and other generative AI models across various applications.
Manage and mentor a diverse team of AI developers and engineers, promoting a culture of collaboration and innovation.
Work closely with cross-functional teams - engineering, and business stakeholders to translate requirements into effective AI solutions.
Uphold best practices in AI ethics, data privacy, and model governance throughout the AI development lifecycle.
Lead research and innovation efforts by keeping current with the latest developments in generative AI, multimodal models, and AI agents.
Implement containerization and orchestration strategies using Docker and Kubernetes (GKE) for reliable deployment.
Establish security frameworks using Azure Identity, GCP IAM, and other tools to ensure restricted and compliant access to AI systems.
Monitor AI model performance in production, drive continuous improvement initiatives, and manage risks associated with AI outputs.
Effectively communicate AI concepts, project progress, and business impact to both technical and non-technical audiences, including executive leadership.
Company Benefits & Culture
Inclusive and diverse work environment.
Opportunities for professional growth and development.
Supportive team culture that values collaboration and innovation.
For immediate consideration please click APPLY to begin the screening process with Alex.
