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.

Solutions Architect

Company: EDF power services

Location: San Diego, CA

Posted Aug 07, 2025

25% - Advises and consults with IT and Executive Management teams regarding systems design, architecture, management, and configurations to develop technical…

GenAI Engineer

Company: Deloitte

Location: San Antonio, TX

Posted Aug 07, 2025

A bachelor's degree in computer science, software engineering, or a related discipline. The ideal candidate will be a dependable team player, collaborating with…

Wireless Team Member

Company: Business Tech Solutions

Location: Chula Vista, CA

Posted Aug 07, 2025

Our goal is to continue bringing our customers the utmost customer service experience, sufficing their needs, and developing tech services.

Master Data Analyst

Company: City of San Antonio

Location: San Antonio, TX

Posted Aug 07, 2025

Develops processes, procedures, and documentation relating to the creation and maintenance of master data including user guides and on-line tools.

English Language Development (ELD) Teacher - High School (25-26)

Company: KIPP Public Schools Northern California

Location: San Jose, CA

Posted Aug 07, 2025

Hold a valid teaching credential in the subject of your desired role, or. Eligibility for a Provisional Internship Permit or Eligibility for a Short Term Staff…

CNC Machinist

Company: Vantedge Medical

Location: San Jose, CA

Posted Aug 07, 2025

“Confident” ability to communicate verbally in English, to understand technical directions on blueprints, travelers, and computer screens in English, and to…

AI & GenAI Data Scientist – Director

Company: PRICE WATERHOUSE COOPERS

Location: San Diego, CA

Posted Aug 07, 2025

Managing development teams in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general all-purpose…

Construction Project Manager

Company: Ensign Services

Location: San Antonio, TX

Posted Aug 07, 2025

Oversees, directs, and manages the general contractors and contracted consultants responsible for developing project scope, budget, and schedule, to establish…

AI Security Engineer, Manager

Company: Deloitte

Location: San Antonio, TX

Posted Aug 07, 2025

The team consults and executes on a wide range of initiatives involving process and tool development and implementation including training development,…

Principal Platform Engineer, Infrastructure & Tooling for Services, Data, and GenAI

Company: Disney Entertainment and ESPN Product & Technology

Location: Glendale, CA

Posted Aug 07, 2025

Masters Degree in Computer Science, MBA, or a related field; and/or related certification/s. Partner with engineering leads from Ads Data and Application teams…

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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