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Artificial Intelligence Engineer Manager Jobs in California

Tax Artificial Intelligence Manager

Los Angeles, CA · On-site

$119K - $156K/yr

The Tax Artificial Intelligence Manager leads the engineering team responsible for building and evolving an AI-enabled application platform that supports document processing, workflow automation, AI ...

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Artificial Intelligence Engineer Manager information

What is the difference between Artificial Intelligence Engineer Manager vs Data Scientist?

AspectArtificial Intelligence Engineer ManagerData Scientist
Required CredentialsBachelor's/Master's in CS, AI, or related; leadership experienceBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentLeads AI teams, manages projects, collaborates with engineeringAnalyzes data, builds models, interprets insights
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

The Artificial Intelligence Engineer Manager oversees AI projects and teams, focusing on leadership and strategic implementation. In contrast, Data Scientists primarily analyze data and develop models to extract insights. Both roles require strong technical skills, but the manager role emphasizes team management and project oversight.

What are the most commonly searched types of Artificial Intelligence Engineer jobs in California? The most popular types of Artificial Intelligence Engineer jobs in California are:
What are popular job titles related to Artificial Intelligence Engineer Manager jobs in California? For Artificial Intelligence Engineer Manager jobs in California, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Engineer Manager jobs in California look for? The top searched job categories for Artificial Intelligence Engineer Manager jobs in California are:

Artificial Intelligence Engineer (Remote)

Eazifunds

San Francisco, CA • On-site, Remote

Full-time

Re-posted 20 days ago


Job description

The Role:
We’re looking for an experienced artificial intelligence engineer to join the revolution, using deep learning, neuro-linguistic programming (NLP), LLM, computer vision, robotic process automation, human in the loop, decision-making engines, chatbots, and robotics to help us improve various business outcomes and drive innovation. The engineer will join a multidisciplinary team helping to shape our AI strategy and showcasing the potential for AI through early-stage solutions. This is an excellent opportunity to take advantage of emerging trends and technologies and make a real-world difference.

Objectives of this role:
1. Manage and direct processes and R&D (research and development) to meet the needs of our AI strategy
2. Understand company and client challenges and how integrating AI capabilities can help lead to solutions
3. Lead cross-functional teams in identifying and prioritizing key areas of a partner’s business where AI solutions can drive significant business benefit
4. Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards
Responsibilities:
1. Advise C-suite executives and business leaders on a broad range of technology, strategy, and policy issues associated with AI
2. Work on functional design, process design (including scenario design and flow mapping), prototyping, testing, training, and defining support procedures in collaboration with an advanced engineering team and executive leadership
3. Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation
4. Manage a team in conducting assessments of the AI and automation market and competitor landscape
5. Serve as liaison between stakeholders and project teams, delivering feedback and enabling team members to make necessary changes in product performance or presentation
Requirement skills and qualifications:
1. Two or more years of experience in applying AI to practical and comprehensive technology solutions
2. Experience with ML, deep learning, TensorFlow, Python, and NLP
3. Experience in program leadership, governance, and change enablement
5. Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
6. Experience in REST API development, NoSQL database design, and RDBMS design and optimization
Plus:
1. A bachelor's or master's degree in computer science or related field
2. Experience with innovation accelerators
3. Experience with cloud environments
What we can offer:
1. Salary
2. Stock options
3. Performance-Based Bonus
4. Employee Benefits