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.

Advanced AI Software Engineer

Company: Accenture

Location: San Diego, CA

Posted Mar 31, 2025

Communicate complex technical concepts and findings to both technical and non-technical stakeholders. Design, develop, and implement cutting-edge AI models and…

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Travel CT Technologist - $2,143 per week

Company: Supplemental Health Care

Location: San Antonio, Texas

Posted Apr 04, 2025

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Director, Cost & Inventory Accounting #4177

Company: GRAIL

Location: Menlo Park, CA

Posted Apr 01, 2025

Lead cross-functional discussions, diving deep into lab and ancillary processes to provide technical accounting guidance in compliance with US GAAP, ensure…

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Project Manager

Company: JE Dunn

Location: Santa Clara, CA

Posted Apr 03, 2025

Valid and unrestricted drivers license required. Coordinates the various stakeholders of the project including but not limited to subcontractors, owner, field,…

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Solutions Architect - Cloud Providers and Hyperscale

Company: NVIDIA

Location: Santa Clara, CA

Posted Apr 01, 2025

Primary responsibilities will be to lead technical engagements with customers as they integrate, optimize, and apply NVIDIA’s hardware and software technologies…

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Vehicle Operator (CDL A)

Company: An Innovative Vehicle Software Supplier

Location: Mountain View, CA

Posted Apr 02, 2025

Ensure the safe operation of company vehicles, including semi-trucks, straight trucks, and passenger cars, while testing driver assistance and self driving…

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Registered Nurse (RN) Med-Tele, Full time, 7pm - 7am

Company: PIH Health

Location: Downey, CA

Posted Apr 03, 2025

The Registered Nurse (RN) provides direct nursing care including: assessment, plan of care, education, and evaluation for assigned patients.

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Cloud Solutions Architect (Delivery)

Company: Mission

Location: Los Angeles, CA

Posted Apr 04, 2025

Our Cloud Solution Architects are responsible for holding regular consulting sessions to build a roadmap for further optimization, automation, and resiliency…

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Join Our Expert Team: Interventional Cardiologist with Vascular and Endovascular Medicine Expertise

Company: Cardiovascular Institute of San Diego

Location: San Diego, California

Posted Apr 03, 2025

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Urgent Care Physician BC/BE

Company: Palo Alto Foundation Medical Group

Location: San Mateo, California

Posted Mar 31, 2025

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Visual/Graphic Designer - Senior

Company: Gensler

Location: Los Angeles, CA

Posted Apr 01, 2025

Your role will be both hands-on – injecting progressive, strategic design-thinking into the work - as well as higher level oversight to guide the digital…

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Data Scientist

Company: Victory Capital Management

Location: San Antonio, TX

Posted Apr 04, 2025

You will collaborate with the broader team to implement machine learning algorithms that support our business units, design data experiments, and develop…

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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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