Ai-Enhanced Technology Jobs in San Francisco, CA

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Looking for Ai-Enhanced Technology jobs in San Francisco, CA? Browse our curated listings with transparent salary information to find the perfect Ai-Enhanced Technology position in the San Francisco, CA area.

Alignment Data Scientist

Company: AE Studio

Location: Los Angeles, CA

Posted Mar 14, 2025

Ability to communicate effectively and work exclusively in English and communicate complex technical concepts clearly to a non-technical audience.

Welder (Aluminum or Inconel)

Company: Bloom Energy

Location: Fremont, CA

Posted Mar 18, 2025

H.S. diploma or equivalent technical/military training preferred. Must have proficient use of hand tools, and bench top equipment. Expected hours: 40 per week.

Quality Data Analyst - USDS

Company: TikTok

Location: San Jose, CA

Posted Mar 19, 2025

Minimum Qualifications - 3+ years experience in Trust & Safety, or similar industry experience - Experience creating analysis reports and conducting RCAs -…

Senior Software Engineer

Company: Marathon Petroleum Company LP

Location: San Antonio, TX

Posted Mar 17, 2025

Leads efforts from end-to-end through delegation, review, and driving results holistically; leads medium complexity features from technical design through…

Ambulatory Call Center Director

Company: University Health

Location: San Antonio, TX

Posted Mar 20, 2025

A Bachelor’s degree in Information Technology, Finance, Healthcare or a business-related field is required. Responsibilities include supervision and training of…

Senior Business Analyst - Procurement (Ivalua)

Company: CGI Group, Inc.

Location: Los Angeles, CA

Posted Mar 19, 2025

Assist our clients by identifying, specifying and analyzing requirements and processes, managing progress throughout the design, test and implementation process…

Project Manager - A.V. Integration & Installation

Company: Pinnacle Inc.

Location: Glendale, CA

Posted Mar 17, 2025

*PMP certification* or equivalent project management certification is a plus. Bachelor's degree in *Audio Engineering, Project Management,* or a related field (…

Project Operations Associate - USDS

Company: TikTok

Location: Los Angeles, CA

Posted Mar 17, 2025

Help manage incoming requests, monitor timelines, and ensure project milestones are met. This new, security-first division was created to bring heightened focus…

Infusion Clinical Pharmacist, Oncology

Company: Sutter Health

Location: Mountain View, CA

Posted Mar 20, 2025

Complies with state and federal drug laws as regulated by the state board of pharmacy, the Drug Enforcement Administration (DEA), and the Food and Drug…

Shift Electrician

Company: Veterans Prime, Inc.

Location: San Diego, CA

Posted Mar 20, 2025

Exceptional troubleshooting and technical problem-solving skills in electrical or electronic systems. Electrical Systems: Diagnose, maintain, and repair…

Frequently Asked Questions

What are typical salary ranges by seniority for AI-Enhanced Technology roles?
Entry‑level ML Engineer or Data Scientist: $90k–$110k. Mid‑level: $120k–$150k. Senior/Lead: $160k–$200k. Staff/Principal: $210k–$260k. Director/VP: $250k–$350k (base + bonus + equity). These ranges reflect U.S. market averages for cloud‑native AI positions.
Which skills and certifications are most valuable in AI-Enhanced Technology?
Core skills: Python, PyTorch/TensorFlow, Kubernetes, Docker, CI/CD, Airflow, MLflow, SageMaker, Vertex AI, Azure ML, MLOps, reinforcement learning, generative models, NLP, CV, data engineering, SQL, Spark. Certifications: AWS Certified Machine Learning – Specialty, Google Professional Machine Learning Engineer, Microsoft Certified: Azure AI Engineer Associate, TensorFlow Developer Certificate, Certified Data Scientist (CDS), DeepLearning.AI TensorFlow Practitioner.
Is remote work common for AI-Enhanced Technology positions?
Yes. Many AI‑Enhanced Tech companies adopt remote‑first or hybrid models. Companies such as OpenAI, DeepMind, UiPath, NVIDIA, and Cloudflare offer fully remote roles; others provide 3‑4 days per week remote availability, while hardware‑lab positions may require occasional on‑site presence.
What career progression paths exist in AI-Enhanced Technology?
Typical trajectory: Junior Data Scientist → ML Engineer → MLOps Engineer → Lead ML Engineer → AI Solutions Architect → AI Product Manager → Director of AI → VP of AI. Each step adds responsibilities from model training to infrastructure management, product strategy, and executive leadership.
What are the current industry trends shaping AI-Enhanced Technology?
Key trends include generative AI and multimodal models, reinforcement learning for robotics, edge AI for IoT and autonomous vehicles, responsible AI and fairness regulation, AI‑Ops for continuous monitoring, AI‑as‑a‑Service platforms, and domain‑specific AI in healthcare diagnostics, finance fraud detection, and cybersecurity threat intelligence.

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