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.

RSCH DATA ANL 2

Company: UC San Diego

Location: San Diego, CA

Posted Aug 19, 2025

Educational focus in policy analysis or a related field with a specialization or sub-specialization in environmental policy and demonstrated experience with the…

Software Engineer II - Realm-X

Company: AppFolio

Location: San Diego, CA

Posted Aug 18, 2025

Leveraging agile practices, encourage collaboration, prioritization, and urgency to develop at a rapid pace. Bachelor's, Master's, or Ph.D. in Computer Science…

Clinical Pharmacist

Company: Methodist Hospital Texsan

Location: San Antonio, TX

Posted Aug 18, 2025

You will supervise technical support personnel in drug preparation and distribution systems and participates in competency training for technical personnel.

Graphic Designer - Cannabis Industry

Company: Traditional

Location: Los Angeles, CA

Posted Aug 18, 2025

The general duties of this position include branding design, digital marketing support, social media support, and general design support.

Director of Client Services

Company: Robert Half

Location: San Diego, CA

Posted Aug 18, 2025

Bachelor’s degree in Business, Marketing, or a related field (preferred but not required). Experience in process improvement and driving operational efficiency.

AI Engineer

Company: Vagaro

Location: Pleasanton, CA

Posted Aug 19, 2025

Conduct research, design, and develop generative AI-driven features and experiences customized to the unique preferences and behaviors of our users.

Janitorial Day Supervisor

Company: ABM Industries

Location: San Diego, CA

Posted Aug 19, 2025

Provide technical guidance and interpret policies and procedures to assist front-line employees in performing functional tasks.

Luxury Sales

Company: Haus of Portraiture

Location: Santa Monica, CA

Posted Aug 18, 2025

You will be responsible for driving sales growth by effectively engaging with customers, understanding their needs, and providing tailored solutions.

Security Guard - Healthcare Patrol Specialist

Company: Allied Universal

Location: San Jose, CA

Posted Aug 18, 2025

A valid driver's license will be required for driving positions only. As a condition of employment, applicants will be subject to a background investigation in…

Systems & Software Engineering Manager - San Antonio, Tx. OR Austin, Tx.

Company: H‑E‑B

Location: San Antonio, TX

Posted Aug 19, 2025

You'll work closely with stakeholders from product and design, and other engineering leaders, to provide high-quality, repeatable technology delivery for the…

Retail Cosmetics Sales Associate, Beverly Center - Part Time

Company: Macy’s

Location: Los Angeles, CA

Posted Aug 19, 2025

Collaboration: Partnership with the total Beauty team to drive sales and deliver the customer experience. Use product knowledge to give expert guidance to each…

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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