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Manager Generative Ai Jobs (NOW HIRING)

MDAEdge

Generative AI Engineer

Austin, TX · On-site

... management and model deployment. • Ensure scalability and performance of generative AI applications. Qualifications : Required : • Designed and developed scalable generative AI platforms for ...

Stantec

Generative AI Developer

Denver, CO · On-site

... management, evaluation, deployment, and monitoring. • Partner with ML/AI leads and engineering ... in Generative AI, Agentic AI, and multi-agent systems. • Design, build, and deploy agentic ...

TekCommands Inc

AWS + Generative AI Engineer

Chicago, IL · On-site

$66.75 - $87.50/hr

Configure and manage AWS Config and governance policies to ensure security and compliance. * Design ... Mentor engineering teams on AWS and Generative AI technologies. Required Skills * 12-16 years of ...

Stantec

Generative AI Developer

Phoenix, AZ · On-site

... management, evaluation, deployment, and monitoring. • Partner with ML/AI leads and engineering ... in Generative AI, Agentic AI, and multi-agent systems. • Design, build, and deploy agentic ...

Iberdrola

Lead Architect - Generative AI

Orange, CT · On-site

$59.25 - $81/hr

Lead Architect - Generative AI Department: Information Technology Reports to ... Senior Manager - IT Infrastructure Location: In Office ,Boston MA, Orange CT The base salary range ...

Iberdrola

Lead Architect - Generative AI

Orange, CT · On-site

$59.25 - $81/hr

Lead Architect - Generative AI Department: Information Technology Reports to ... Senior Manager - IT Infrastructure Location: In Office , Orange CT The base salary range for this ...

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Manager Generative Ai information

What is the difference between Manager Generative Ai vs Data Scientist?

AspectManager Generative AiData Scientist
Required CredentialsAdvanced degrees in AI, Computer Science, or related fields; experience with AI project managementDegree in Data Science, Statistics, Computer Science, or related fields; proficiency in programming and statistical analysis
Work EnvironmentLeads AI teams, collaborates with product and engineering teams, oversees AI projectsAnalyzes data, develops models, and provides insights; often works independently or in small teams
Employer & Industry UsageTech companies, AI startups, large enterprises implementing AI solutionsResearch institutions, tech firms, finance, healthcare, and other data-driven industries

The main difference is that a Manager Generative Ai oversees AI projects and teams focusing on generative models, while a Data Scientist primarily analyzes data and develops models. Managers focus on leadership and strategy, whereas Data Scientists focus on technical analysis and model development.

What cities are hiring for Manager Generative Ai jobs? Cities with the most Manager Generative Ai job openings:
What are the most commonly searched types of Generative Ai jobs? The most popular types of Generative Ai jobs are:
What states have the most Manager Generative Ai jobs? States with the most job openings for Manager Generative Ai jobs include:
Manager Generative Ai jobs near you

Senior Software Engineer - Generative AI

C3 AI

Redwood City, CA • On-site

$150K - $198K/yr

Full-time

Posted 29 days ago

Job description

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI
We are looking for a seasoned software engineer experienced in the field of machine learning and artificial intelligence, and passionate about Generative AI technology and building next-generation software platforms.
As a member of C3 AI's Generative AI team, you will be tasked with developing the infrastructure and tools to improve the state-of-the-art and enable the use of this game changing technology in our enterprise applications. You'll collaborate with product managers, data scientists and other engineers and be responsible for the entire software engineering lifecycle. A successful candidate will thrive in a fast-paced, innovative, and highly collaborative environment, and demonstrate an ability to execute precisely and quickly. The ideal candidate will have in-depth experience with putting large scale machine learning models in production and a solid understanding of Large Language Models (LLMs).
Responsibilities:
  • Build systems and tools to enable and simplify the use of Generative AI technologies in our applications using the C3 AI Platform.
  • Enable scalable end-to-end machine learning pipelines in a distributed system with heterogeneous hardware (GPUs, TPUs, etc.).
  • Work with data scientists to research and implement latest approaches to efficiently train/fine-tune Generative Models.
  • Work with product owners to define and lead the long-term development the C3 Generative AI Suite.
  • Mentor junior members of the team.

Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, or related fields, MS preferred.
  • Excellent programming skills in Python; experience with Java and JavaScript preferred.
  • Thorough knowledge of data structures, algorithms, profiling/optimization, DRY code, and Object-Oriented and Functional Programming.
  • In-depth understanding of machine learning including deep learning algorithms.
  • Track record of applying machine learning algorithms in a production system.
  • Demonstrated end-to-end ownership of projects.
  • Stellar listening and explanation skills.
  • Demonstrated interest for Generative AI technology (e.g., projects with technologies like LangChain, Semantic Kernel, ChatGPT Plugins, etc.).
  • A minimum of 3 years of work experience in a fast-paced software company.

Preferred Qualifications:
  • Advanced degree in computer science, math, or similar quantitative field.
  • Knowledge of Agile development methodology.
  • 5+ years of work experience in a fast-paced software company.

C3 AI provides excellent benefits, a competitive compensation package and generous equity plan.
California Base Pay Range
$150,000-$198,000 USD
C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.

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