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.

AI Agent Engineer

Company: Naptha AI

Location: Austin, TX

Posted Feb 13, 2025

Build and deploy AI agents using various frameworks. Assist with agent integration and testing. Basic understanding of AI concepts.

Fixed Asset Accountant

Company: DPR Construction

Location: Dallas, TX

Posted Feb 10, 2025

Assist in reporting and analysis of rental fleet margins. Prolonged periods sitting at a desk and working on a computer. 5+ years working with fixed assets.

BCG Platinion | Senior MarTech IT Architect

Company: Boston Consulting Group

Location: Houston, TX

Posted Feb 09, 2025

Bachelor’s degree in information technology, marketing, business administration, computer science, information systems, or system controls & engineering or a…

BCG Platinion | Lead IT Architect, Public Sector Industry Leader (Defense & Security, Civil Sector)

Company: Boston Consulting Group

Location: Austin, TX

Posted Feb 09, 2025

Bachelor's Degree in information technology, business administration, computer science, business management, or system controls & engineering or a related field…

Mid-Senior Level Federal Financials ERP Business Analyst

Company: CGI Group, Inc.

Location: Austin, TX

Posted Feb 13, 2025

5+ years of experience as a Business Analyst supporting a system implementation (requirements analysis, process design, validation, testing, implementation…

Senior QA Engineer- Networking for AI

Company: Arm

Location: Austin, TX

Posted Feb 11, 2025

Candidate should have master’s/bachelor's degree in computer science or an equivalent STEM degree or equivalent experience in the industry.

BCG Platinion | Lead IT Architect, Public Sector Industry Leader (Defense & Security, Civil Sector)

Company: Boston Consulting Group

Location: Houston, TX

Posted Feb 13, 2025

Bachelor's Degree in information technology, business administration, computer science, business management, or system controls & engineering or a related field…

Engineering – Tech Risk Digital Risk Office – Monitoring & Testing - Analyst

Company: Goldman Sachs

Location: Dallas, TX

Posted Feb 11, 2025

Collaborate with cross functional teams and stakeholders to evaluate and validate the design, implementation, and performance of key engineering controls.

BCG Platinion | Senior MarTech IT Architect

Company: Boston Consulting Group

Location: Dallas, TX

Posted Feb 09, 2025

Bachelor’s degree in information technology, marketing, business administration, computer science, information systems, or system controls & engineering or a…

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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