Ai-Enhanced Technology Jobs in Austin, TX

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Looking for Ai-Enhanced Technology jobs in Austin, TX? Browse our curated listings with transparent salary information to find the perfect Ai-Enhanced Technology position in the Austin, TX area.

Data Analyst - Performance Excellence Dept (Willowbrook)

Company: Houston Methodist Willowbrook Hospital

Location: Houston, TX

Posted May 01, 2025

Bachelor's degree in computer science, engineering, math, physics or related field. Assists with design and implementation of processes to ensure accurate data…

Cloud View Engagement Project Manager SME

Company: Govcio LLC

Location: San Antonio, TX

Posted Apr 29, 2025

Must have worked in and have a solid understanding of highly technical data center environments and equipment, be able to communicate and work with IT…

Security Operations Center Analyst II

Company: Newrez

Location: Coppell, TX

Posted Apr 25, 2025

Excellent written and verbal communication skills, with the ability to document technical findings for both technical and non-technical audiences.

Commercial HVAC/R Service Technician

Company: LPC Services

Location: Austin, TX

Posted Apr 28, 2025

Valid driver's license with a clean driving record; experience as a van driver is a plus. Read and interpret schematics and technical drawings to diagnose…

Staff Fullstack Gen AI Engineer

Company: Visa

Location: Austin, TX

Posted Apr 30, 2025

In this role, you will play a crucial part in designing, developing, deploying, and optimizing AI-powered tools for code/prototype generation using modern LLMs…

Pharmacist I

Company: Texas Oncology

Location: Austin, TX

Posted May 01, 2025

Current license as a Pharmacist in state of practice. Bachelor's degree from an accredited school of pharmacy and current state licensure.

SOFTWARE ENGINEER III - SALESFORCE

Company: Frost Bank

Location: San Antonio, TX

Posted Apr 30, 2025

Collaborate with and provide technical advice to Product Owners, Business Analysts, and lines of business to estimate level-of-effort, timing, and feasibility,…

Pharmacist Floater II - Kyle and surrounding areas

Company: H-E-B

Location: Kyle, TX

Posted May 01, 2025

Active license / in good standing with all regulatory agencies. Successful completion of all required training (e.g., H-E-B 40-hour pharmacist orientation under…

Data Scientist Principal – Bank AI/ML

Company: USAA

Location: San Antonio, TX

Posted Apr 28, 2025

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

Solution Architect - Dallas, TX

Company: Photon

Location: Dallas, TX

Posted Apr 29, 2025

Possess excellent communication and verbal skills to articulate complex technical concepts, architectural decisions, and trade-offs clearly to both technical (…

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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