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.

Registered Nurse, PeriOp 101, Full Time, Days - Fellowship Program - Internal Candidates

Company: PIH Health

Location: Los Angeles, CA

Posted Aug 18, 2025

Delivers individualized quality patient care through a coordinated team approach with physicians, staff, other departments and the patient’s family.

Business Process & Data Analyst - Contract

Company: UC San Diego

Location: San Diego, CA

Posted Aug 18, 2025

Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization.

Security Officer - Armed Full Time

Company: Allied Universal

Location: San Antonio, TX

Posted Aug 18, 2025

A valid driver's license is required and must meet Allied Universal driver policy requirements for driving positions only. Must be at least 21 years of age.

Senior Site Reliability Engineer

Company: Tentek, Inc.

Location: Glendale, CA

Posted Aug 18, 2025

Systems Reliability Engineers use a software engineering approach to architect, design, automate, monitor, and build applications at scale.

Software Engineer, Application and Tooling, AI/ML

Company: Google

Location: Mountain View, CA

Posted Aug 18, 2025

We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking…

Armed Security Officer - Retail Patrol

Company: Allied Universal

Location: San Antonio, TX

Posted Aug 18, 2025

A valid driver's license is required for driving positions and must meet Allied Universal Driver Policy requirements. Must be at least 21 years of age.

Sr Software Engineer - Unreal (Interactive XR)

Company: The Walt Disney Studios

Location: Burbank, CA

Posted Aug 18, 2025

You will own the technical direction and optimize stakeholder satisfaction for a collection of internally developed products in addition to architecting and…

Linux Systems Engineer

Company: Tentek, Inc.

Location: Glendale, CA

Posted Aug 18, 2025

Systems Reliability Engineers use a software engineering approach to architect, design, automate, monitor, and build applications at scale.

Chiller Technician

Company: PACIFIC RIM MECHANICAL

Location: San Diego, CA

Posted Aug 18, 2025

Must have a valid driver’s license and provide a clean DMV report covering the past 5 years. Must have relevant field experience troubleshooting and servicing…

Retail Fragrances Sales Support Associate - Dior, Culver City Center - Full Time

Company: Macy’s

Location: Culver City, CA

Posted Aug 18, 2025

Participate in pre-selling and sales driving events to maximize sales. Frequent use of computers and other technology, necessary to perform job functions,…

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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