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.

Security Operations Center Operator (PM - Overnight Shift 6PM - 6AM)

Company: Zachry Construction Corporation

Location: San Antonio, TX

Posted Jul 07, 2025

Preferred but not required to have a Texas non-commissioned guard license. Communicate effectively with employees, guests, and vendors via telephone, email, and…

Jr. Embedded Systems Engineer

Company: Lancer Corporation

Location: San Antonio, TX

Posted Jul 07, 2025

Work with cross-functional teams, including product managers, software engineers and electrical engineers to define system architecture, select components,…

Optical Sales Associate

Company: Pearle Vision/Luxottica Retail

Location: San Diego, CA

Posted Jul 07, 2025

We also support the CE needed to maintain your license as well. Otherwise, we will provide training neccessary to obtain your license!

Security Operations Center Operator (Overnight Shift 12AM - 12PM)

Company: Zachry Construction Corporation

Location: San Antonio, TX

Posted Jul 07, 2025

Preferred but not required to have a Texas non-commissioned guard license. Communicate effectively with employees, guests, and vendors via telephone, email, and…

Machinist

Company: Solar Turbines

Location: San Diego, CA

Posted Jul 07, 2025

Operate machinist tools including CNC machines. Use blueprints, gauges, torque measuring devices and/or other equipment to ensure conformance to quality…

GRC Analyst- Compliance

Company: RadNet

Location: Los Angeles, CA

Posted Jul 04, 2025

Ability to communicate compliance and security concepts to both technical and non-technical audiences. Identify process and procedure gaps between current IT…

A Class Outside Machinist SDCA

Company: Austal USA

Location: San Diego, CA

Posted Jul 04, 2025

Must comply with company, federal, state, and local safety and environmental rules and regulations while performing daily job tasks.

AP Customer Service Rep II

Company: RadNet

Location: Los Angeles, CA

Posted Jul 04, 2025

Answer and respond to all incoming inquiries for the Accounts Payable department via phone and email. Research and process correspondence pertaining to accounts…

Graphic Designer III

Company: Turing

Location: Palo Alto, CA

Posted Jul 04, 2025

Market and Trend Awareness: Stay current with the latest design trends, tools, and technologies to continuously improve creative quality, innovation, and…

Solutions Engineer Staff - NBVI

Company: USAA

Location: San Antonio, TX

Posted Jul 04, 2025

10+ years of software development experience demonstrating depth of technical understanding within multiple discipline(s)/technology(s) to include 3 years…

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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