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.

Senior Python Engineer

Company: Fuel Cycle

Location: Los Angeles, CA

Posted Apr 26, 2025

Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. 15 Vacation Days + 7 Sick Days annually.

IT Compliance Analyst

Company: General Atomics and Affiliated Companies

Location: San Diego, CA

Posted Apr 25, 2025

Typically requires a bachelor’s in computer science, information technology, or a related field and six or more years of progressive professional experience in…

Digital Network Exploitation Analyst

Company: RealmOne

Location: San Antonio, TX

Posted Apr 24, 2025

Background in hardware/software engineering, programming, computer/network security, vulnerability analysis, penetration testing, computer forensics,…

Staff AI Engineer - Multi-Agent Frameworks

Company: ClickUp

Location: San Diego, CA

Posted Apr 24, 2025

Design, develop, and maintain a robust platform to enable users to create and manage AI agents and their interactions.

Outside Direct Seller

Company: LGCY Power

Location: San Diego, CA

Posted Apr 25, 2025

Must have reliable transportation and a smartphone for effective field operations. Various high-quality installing and financing partner options, ensuring the…

Data Scientist Principal – Bank AI/ML

Company: USAA

Location: San Antonio, TX

Posted Apr 25, 2025

Clearly translates complex analytical and technical concepts to diverse, technical, and non-technical audiences in a way that promotes organizational data…

Senior Data Engineer (Contract)

Company: UCLA Health

Location: Los Angeles, CA

Posted Apr 25, 2025

Bachelor’s degree in computer science, Computer Engineering, or related field from an accredited college or university; Master’s Degree preferred.

Registered Nurse Charge Nurse Endoscopy

Company: Pacific Endoscopy, LLC

Location: Atherton, CA

Posted Apr 25, 2025

The registered nurse is responsible for delivering safe, knowledgeable, compassionate, educative and individualized nursing care to patients and families.

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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