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.

Staff Software Engineer

Company: Intuit

Location: San Diego, CA

Posted Aug 09, 2025

Excellent communication and presentation skills: Demonstrated ability to explain complex issues to both technical and non-technical audiences.

Sr. GIS Solution Engineer – Natural Resources

Company: Esri

Location: San Antonio, TX

Posted Aug 10, 2025

Bachelor's in geography, computer science, or a related field. Master's in geography, computer science, or a related field.

Construction Worker General

Company: Vaughn Construction

Location: San Antonio, TX

Posted Aug 10, 2025

Ability to lift heavy objects, walk, and stand for long periods of time and perform strenuous physical labor under adverse field conditions.

Senior Performance Marketing Manager

Company: Intuit

Location: San Diego, CA

Posted Aug 09, 2025

Understand the technical side of email operations from how customer data attributes flow from data systems into the ESPs for campaign retrieval to ESP set up…

Internal Communications Manager, Strategic Response

Company: Meta

Location: Menlo Park, CA

Posted Aug 09, 2025

7+ years of experience in internal or corporate communications, or a related field. Bachelor's degree in Communications, Public Relations, or a related field.

Game Engineer, Platform Architecture

Company: Apple

Location: San Diego, CA

Posted Aug 09, 2025

As Game Engineer on the Tools & Technology team, you will develop and maintain the bespoke engine, requiring architectural design, implementation, debugging and…

Executive Director, Data Scientist

Company: USAA

Location: San Antonio, TX

Posted Aug 09, 2025

Leverages state-of-the-art machine learning/AI tools and analytical methodologies to develop and implement various types of predictive models with the targeted…

Elite Security Officer - Armed Mall Patrol

Company: Allied Universal

Location: San Antonio, TX

Posted Aug 10, 2025

Possess a valid driver's license and meet Allied Universal driver policy requirements for driving positions. Hold a Level III armed certification if required by…

GIS Solution Engineer - Natural Resources

Company: Esri

Location: San Antonio, TX

Posted Aug 10, 2025

Successfully design presentations for technical and non-technical customers. Bachelor's in geography, computer science, or a related field.

Armed Security Officer - Government Site - Full Time

Company: Allied Universal

Location: San Jose, CA

Posted Aug 10, 2025

Must have a valid driver's license in the state where the job is located and meet Allied Universal driver policy requirements for driving positions only.

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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