Ai-Enhanced Technology Jobs

786,411 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.

DevOps Engineer

Company: Guidehouse

Location: Remote

Posted Dec 08, 2025

This job posting seeks a DevOps Engineer to support development, QA, and operations across multiple applications. The role emphasizes automation, cloud-native infrastructure, and collaborative practices. Key responsibilities include system monitoring, security integration, and CICD pipeline management. Required qualifications include US citizenship, a bachelor's degree, and experience with DevOps tools. The position offers competitive compensation ranging from $980,000 to $1,630,000, along with comprehensive benefits like medical insurance, retirement plans, and professional development opportunities.

Inside Sales Manager - Technology Sales

Company: IBM

Location: Markham, CA

Posted Dec 09, 2025

This job description outlines a leadership role as an Inside Sales Manager at IBM, requiring expertise in digital selling tools, outbound sales, team coaching, and cross-functional collaboration. The position emphasizes metrics-driven performance, technical aptitude, and a high-energy leadership style to drive revenue growth and team success.

Chronic Care Manager (Compact States)

Company: Harris

Location: Remote

Posted Dec 08, 2025

This job posting describes a remote Chronic Care Manager role with part-time flexibility, productivity-based pay, and opportunities for full-time employment. It outlines responsibilities, requirements, and benefits while emphasizing work-life balance and professional growth.

Oracle Cloud ORC Functional Lead

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description outlines a role in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration with global clients, strategic partnerships, and technology platforms. Responsibilities include leading implementation projects, conducting gap analyses, and ensuring efficient technology execution. Required skills involve Oracle HCM Cloud expertise, teamwork, and problem-solving abilities.

Senior Python Developer

Company: OnTheGoSystems

Location: Europe

Posted Dec 08, 2025

OTGS offers a positive work environment with growth opportunities, impactful projects, and a remote-first team. They emphasize innovation, mentorship, and real-world impact.

セキュリティ・プロジェクトマネージャ/アーキテクト/テクニカルス ペシャリスト

Company: IBM

Location: Tokyo, JP

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on security systems and innovation, emphasizing collaboration with global clients, technological advancement, and professional growth opportunities. The role involves managing security projects, leveraging expertise in SIEM, SOAR, and network security, while fostering a culture of curiosity and creativity.

Lead Gameplay Programmer

Company: CD PROJEKT RED

Location: Remote

Posted Dec 08, 2025

CD PROJEKT RED seeks a Lead Gameplay Programmer for Cyberpunk 2, offering competitive pay, remote/hybrid options, and comprehensive benefits. The role involves managing a team, developing gameplay systems, and collaborating across disciplines.

Senior Technical Account Manager - Storage

Company: IBM

Location: BRISBANE, AU

Posted Dec 09, 2025

This job description outlines a Technical Account Manager role at IBM, emphasizing technical expertise, client collaboration, and 24x7 support responsibilities. It lists required qualifications, preferred experience, and the need for adaptability in a dynamic environment.

Senior Story Programmer

Company: CD PROJEKT RED

Location: Remote

Posted Dec 08, 2025

CD PROJEKT RED seeks a Senior Story Programmer for Cyberpunk 2, offering competitive pay, flexible hours, and comprehensive benefits. The role involves developing story tools and collaborating with designers while enjoying perks like mental health support, gym reimbursement, and a dog-friendly workspace.

SRE

Company: IBM

Location: SÃO PAULO, BR

Posted Dec 09, 2025

IBM Consulting offers roles focused on innovation, client collaboration, and technical expertise in hybrid cloud and AI, emphasizing growth and impactful solutions.

PROCESS DELIVERY SPECIALIST-TALENT DEVELOPMENT OPTIMIZATION PROCESSES

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

The text describes a career in IBM Consulting focused on long-term client collaboration, digital transformation, and innovation. It highlights responsibilities in recruitment, sourcing strategies, and partnership management, emphasizing growth opportunities and supportive work environments.

金融業界担当セールスコンサルタント

Company: IBM

Location: Tokyo, JP

Posted Dec 09, 2025

This role involves consulting and sales for insurance clients, leveraging IBM's technology to drive digital transformation and career growth opportunities through collaboration and innovation.

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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