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.

Electrician Tech V

Company: Amentum

Location: Santa Clara, CA

Posted Jul 20, 2025

Associates degree or technical certification in Industrial Technology, Industrial Mechanical, or related technical program. Repair all plant electrical items.

Retail Sales Associate

Company: Verizon

Location: San Diego, CA

Posted Jul 21, 2025

Potential to grow your customer base by placing outbound calls and sending text messages to current Verizon customers who are interested in our products and…

Special Education Teacher / Education Specialist (Mild/Mod) (25-26)

Company: KIPP Public Schools Northern California

Location: San Jose, CA

Posted Jul 20, 2025

Collaborate with key stakeholders to develop measurable annual goals in students’ areas of need including academic, behavior, and social emotional.

CUSTODIAN I

Company: California Highway Patrol

Location: Los Angeles County, CA

Posted Jul 19, 2025

Report any failures, leaks, or other discrepancies to the building and electrical devices to the Administrative Sergeant immediately.

Retail Cosmetics Sales Associate - YSL Beaute, Westfield Valley Fair - Full Time

Company: Macy’s

Location: Santa Clara, CA

Posted Jul 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…

Senior Customer Service Representative

Company: City of Pasadena, CA

Location: Pasadena, CA

Posted Jul 19, 2025

Responds to a high volume of customer inquiries, public information request, problems and complaints in person, online, at a public counter, or by telephone.

Senior AI Quality Assurance (QA) Engineer

Company: TWG Global

Location: Santa Monica, CA

Posted Jul 21, 2025

Proven experience with AI products, prompt engineering, and LLM model evaluation, familiarity with a wide range of AI tools and platforms.

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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