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.

Data Analyst, Finance & Market Research

Company: BioMed Realty

Location: San Diego, CA

Posted Jun 14, 2025

Including data aggregation and analytics, database maintenance, trend analysis, financial planning and analysis (FP&A), quarterly reporting, portfolio…

Cloud Software Engineer - All Levels

Company: Interclypse, Inc.

Location: San Antonio, TX

Posted Jun 14, 2025

Experience in software development/engineering, including requirements analysis, software development, installation, integration, evaluation, enhancement,…

Data Operations Analyst

Company: Glendale Community College

Location: Glendale, CA

Posted Jun 13, 2025

Bachelor's degree from an accredited college or university with a major in computer science, management information systems, business analytics, public or…

Security Analyst, Insider Risk

Company: TikTok

Location: San Jose, CA

Posted Jun 13, 2025

Communicate findings, risk posture, and recommended remediation steps clearly to both technical and non-technical stakeholders.

Data Scientist - All Levels

Company: Interclypse, Inc.

Location: San Antonio, TX

Posted Jun 14, 2025

Provide informed recommendations regarding competing technical solutions through awareness of the constantly shifting collections, processing, storage and…

Data Scientist - USDS

Company: TikTok

Location: San Jose, CA

Posted Jun 13, 2025

Responsibilities: - Work with large and complex datasets to solve a wide array of challenging problems using different analytical and statistical approaches -…

Elementary Science Teacher

Company: Mission Bay Montesori Academy

Location: San Diego, CA

Posted Jun 16, 2025

Develop interdisciplinary STEM units that blend science with technology, engineering, and math, encouraging students to explore how science applies in everyday…

Construction Superintendent/Project Manager

Company: Stonhard

Location: Fremont, CA

Posted Jun 13, 2025

We manufacture and install long-term floor, wall and lining solutions to markets including, but not limited to: food & beverage, general manufacturing,…

Engineer III - Integration Specialist

Company: PenFed Credit Union

Location: San Antonio, TX

Posted Jun 13, 2025

Work as the highest level technical expert, acting as an internal consultant for all tasks in the analysis, design, testing and implementation of assignments.

Microsoft 365 Security Manager

Company: Deloitte

Location: San Antonio, TX

Posted Jun 15, 2025

6+ years of hands-on technical experience with enterprise-level systems management systems such as SCCM and Intune and endpoint engineering (MEM) and mobile…

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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