Ai-Enhanced Technology Jobs

787,119 open positions · Updated daily

AI-Enhanced Technology roles are at the forefront of digital transformation, fueling autonomous vehicles, personalized medicine, and real‑time analytics. Demand surges as enterprises adopt generative AI, multimodal models, and AI‑driven edge solutions to reduce latency and boost customer experience. The convergence of cloud-native infrastructure, container orchestration, and AI frameworks creates new opportunities for engineers and data scientists to build scalable, high‑performance systems that deliver measurable ROI within weeks of deployment.

Within the AI‑Enhanced Tech spectrum, you’ll find roles such as Machine Learning Engineer, Data Scientist, MLOps Engineer, AI Product Manager, Edge AI Developer, and AI Solutions Architect. Responsibilities range from designing and training transformer models in TensorFlow or PyTorch, to building reproducible pipelines with Airflow and MLflow, to deploying models into Kubernetes clusters on AWS SageMaker or Azure ML. Edge AI developers optimize inference on NVIDIA Jetson or Qualcomm AI SDKs, while AI product managers translate business goals into AI feature roadmaps and measure impact through A/B testing.

Salary transparency matters more than ever in AI‑Enhanced Tech. With compensation tied to market demand, equity, and specialized skill sets, clear salary ranges help professionals negotiate fair pay, evaluate opportunities across companies, and understand the true value of their expertise. Transparent data also drives diversity by reducing hidden pay gaps and empowers teams to benchmark against industry standards, fostering a healthier, more inclusive AI ecosystem.

Account Executive

Company: Telnyx

Location: USA

Posted Nov 19, 2025

The job posting is for experienced Account Executives to sell SaaS products to enterprise companies in the US. The role involves sourcing and closing opportunities, managing a sales funnel, articulating value propositions, and working closely with sales engineering teams. The ideal candidate should have proven success in SaaS sales, experience selling into enterprises, and strong communication skills.

Cloud Solution Architect

Company: Spaulding Ridge

Location: Remote

Posted Nov 19, 2025

The text describes a Cloud Solution Architect role with responsibilities including defining architectural direction, ensuring system integration, leading teams, and enforcing best practices. It outlines requirements for experience with cloud platforms, DevOps practices, and collaboration with stakeholders. The job offers competitive benefits and opportunities for impactful work, emphasizing innovation and professional growth.

Big Data Manager - Professional Services

Company: Databricks

Location: Remote

Posted Nov 19, 2025

The job posting is for a Big Data Manager position in the Professional Services team. The role involves working with clients on big data challenges using the Databricks platform, providing data engineering, data science, and cloud technology projects. The ideal candidate should have extensive experience with Big Data technologies, people management skills, and experience working across multiple cloud platforms.

Sales Development Representative

Company: Dscout

Location: Remote

Posted Nov 19, 2025

Dscout is a flexible experience research platform that helps leading brands like Sonos, Spotify, Duolingo, and Best Buy capture in-context insights from high-quality participants. They are expanding their team and seeking a Sales Development Representative to work with innovative companies, build sales funnels, and advance qualified leads through the sales pipeline. Dscout offers a competitive compensation package, benefits, education stipend, and remote work stipend.

Senior AI Engineer

Company: Trafilea

Location: USA

Posted Nov 19, 2025

Trafilea is a consumer tech platform that uses AI to help brands grow. They have over $1B in revenue, 12M customers, and 500+ talents across 19 countries. Trafilea builds and scales its own DTC brands while helping ambitious talent grow. They are looking for a skilled AI Engineer to join their team and design cutting-edge software solutions for their AI-driven systems.

KCS (Knowledge-Centered Service) Enablement Consultant

Company: MariaDB plc

Location: Canada

Posted Nov 19, 2025

MariaDB is a widely used open-source database that powers applications for companies of all sizes, including 75% of the Fortune 500. The company is seeking a KCS Enablement Specialist to champion knowledge sharing and technical enablement across its support organization, with a focus on improving issue resolution, customer experience, and user community empowerment.

Senior AI Engineer

Company: Podium

Location: Remote

Posted Nov 19, 2025

This job posting seeks a Senior AI Engineer to develop and scale an AI Agent platform for customer interactions. It outlines responsibilities, required experience, and benefits including healthcare, vacation time, and professional development opportunities.

Senior Mobile/Full Stack Engineer - React Native

Company: Zepz

Location: USA

Posted Nov 19, 2025

Zepz seeks passionate engineers committed to customer experience, with expertise in multiple tech stacks and a focus on collaboration and quality code.

Senior Product Marketing Manager

Company: Menlo Security

Location: USA

Posted Nov 19, 2025

Menlo Security is a well-funded company with a mission to enable secure connections and collaboration. They are growing rapidly and seeking passionate, ethical, and service-oriented talent. The company offers a competitive compensation package and values collaboration, inclusivity, and creativity.

Senior Python AI Engineer

Company: Proxify

Location: Time zone: CET (+/- 3 hours)

Posted Nov 19, 2025

Proxify connects developers globally with opportunities, boasting 1200+ happy clients and 5000+ trusted developers. They seek a Senior Python AI Engineer to build AI systems, offering competitive pay, flexible hours, and career growth.

Senior Software Engineer - Pro - C++

Company: Kraken

Location: Europe

Posted Nov 19, 2025

Kraken promotes its mission to accelerate crypto adoption and financial freedom through a global, mission-focused team. The company emphasizes industry-leading security, crypto education, and worldclass client support, offering remote opportunities for experienced traders and developers.

Lead Product Marketing Manager - Margin Trading

Company: Kraken

Location: Remote

Posted Nov 19, 2025

Kraken is a mission-focused crypto company with a world-class team dedicated to accelerating global adoption of crypto for financial freedom and inclusion. They offer advanced trading products and prioritize security, education, and client support. The company values diversity, inclusion, and equal opportunity.

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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