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.

Engineering Program Manager, Central Quality, Apple Services Engineering

Company: Apple

Location: San Diego, CA

Posted Aug 17, 2025

You will be responsible for synthesizing business and technical challenges and competing priorities across client, services, and operating systems engineering…

Principal Engineer, Full‑Stack (Agentic AI)

Company: Saviynt

Location: El Segundo, CA

Posted Aug 17, 2025

Lead requirements analysis, software architecture, and design for full-stack systems infused with agentic AI components.

Security Officer - Technology Campus

Company: Allied Universal®

Location: San Diego, CA

Posted Aug 17, 2025

A valid driver’s license will be required for driving positions only. As a condition of employment, applicants will be subject to a background investigation in…

Acquisition Security Analyst

Company: ManTech

Location: Los Angeles, CA

Posted Aug 17, 2025

Provide technical analysis and OPSEC support to SMC or AFSPC special programs, including efforts related to system RDT&E, mission planning, and operational…

Part Time Program Manager - Santa Clara School District

Company: Right At School

Location: Santa Clara, CA

Posted Aug 17, 2025

Coursework or training in child development and/or related field. Respond promptly to emails, text messages, and inquiries during program hours to ensure…

Apple Card Marketing Manager

Company: Apple

Location: Cupertino, CA

Posted Aug 17, 2025

You will be a key player on the Apple Card marketing team, responsible for driving business results through forecasting, test design, creative, segmentation,…

Analyst Program/System (Data Governance)

Company: CPS Energy

Location: San Antonio, TX

Posted Aug 17, 2025

Programmer/analyst experience in a field supporting and providing technical and analytical solutions. Bachelor's Degree in Information Technology, Computer…

Data Scientist

Company: Deloitte

Location: San Diego, CA

Posted Aug 17, 2025

Undergraduate degree in a quantitative field (computer science, engineering, mathematics, physics, machine learning, statistics).

Data Scientist

Company: Deloitte

Location: Los Angeles, CA

Posted Aug 17, 2025

Undergraduate degree in a quantitative field (computer science, engineering, mathematics, physics, machine learning, statistics).

Cyber Threat Intelligence (CTI) Analyst

Company: IMRI Technology & Engineering Solutions

Location: Los Angeles, CA

Posted Aug 17, 2025

Ability to communicate complex information clearly to both technical and non-technical stakeholders. Perform technical threat analysis to identify and produce…

Security Professional - Chemical Site Patrol

Company: Allied Universal®

Location: San Antonio, TX

Posted Aug 17, 2025

A valid driver’s license will be required for driving positions only. Preference will be given to candidates with armed guard card or license and/or alarm panel…

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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