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.

Full Stack Developer – Entry Level

Company: IBM

Location: Bedford, CA

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, highlighting the collaborative work environment, technical expertise, and opportunities for learning and growth. It emphasizes the role's focus on application development, problem-solving, and utilizing various technologies and frameworks.

Data Scientist-Artificial Intelligence

Company: IBM

Location: Pune, IN

Posted Dec 04, 2025

The role involves working in IBM Consulting Client Innovation Centers Delivery Centers to deliver technical and industry expertise to clients worldwide. The responsibilities include scaling an existing RAG code base for a production-grade AI application, requiring proficiency in prompt engineering, LLMs, Retrieval Augmented Generation, and programming languages like Python or Java. Experience with vector databases, AI frameworks, and cloud platforms is preferred.

Veeva Architect & Engineer

Company: IBM

Location: New York, US

Posted Dec 04, 2025

The job description outlines a role in IBM Consulting focused on partnering with clients to design and implement Veeva Development Cloud solutions. It requires expertise in Veeva, cloud computing, and life sciences regulatory frameworks. The role involves leading technical discovery, designing solutions, configuring Veeva Vaults, and mentoring junior resources.

Application Developer-Asset Management

Company: IBM

Location: Pune, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on working with clients globally to improve hybrid cloud and AI solutions. The role involves leading project teams, applying technical expertise, and ensuring effective communication with clients. Required education includes a bachelor's degree, with a master's degree preferred. Technical expertise in IBM Maximo Asset Management, integration frameworks, and data management is required, with preferred experience in DevOps and Agile methodologies.

SAP SCM Consultant

Company: IBM

Location: MILANO, IT

Posted Dec 04, 2025

The job posting is for a highly skilled Package Consultant with expertise in SAP HANA Supply Chain Management. The role involves leading and managing SAP HANA SCM and TM package implementations, providing technical leadership, collaborating with stakeholders, and staying updated with the latest SAP developments. The ideal candidate should have a strong background in SAP consulting, at least 5 years of experience in SAP HANA SCM and SCM PP APO IBP, and excellent communication and project management skills.

Package Consultant-SAP HANA SCM EWM

Company: IBM

Location: Pune, IN

Posted Dec 04, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients, strategic partnerships, and technical expertise in SAP solutions. The role involves software development, stakeholder collaboration, and continuous learning.

Database Engineer - DSE and HCD

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The text is a job description for a DSEHCD database engineer role at IBM Software. It highlights the opportunity to work on a distributed database powering critical infrastructure, collaborate with talented engineers, and tackle complex technical challenges. The role involves building and improving the core of the database, owning the development lifecycle, debugging distributed systems, and contributing to technical documentation.

SuccessFactors Architect (f/m/x)

Company: IBM

Location: Zurich, CH

Posted Dec 04, 2025

The role involves working in IBM Consulting Client Innovation Centers, collaborating with clients globally, and leading the design and optimization of the SuccessFactors platform to support HR transformation goals. The position requires expertise in SuccessFactors modules, HR processes, integration with third-party systems, and AI applied to the HR domain.

SAP FI/CO Functional Consultant

Company: IBM

Location: Buffalo, US

Posted Dec 04, 2025

The role of an SAP FICO Consultant within IBM Consulting involves leading and supporting SAP FICO design and configuration across various process areas, working with client finance stakeholders, configuring and optimizing core FICO processes, supporting integration with other SAP modules, participating in system upgrades and migrations, preparing functional specifications, collaborating with technical teams, developing end-user training, and contributing to continuous improvement initiatives.

Billing Analyst

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 04, 2025

The text is a job description for a Billing Analyst role at IBM Consulting. It outlines the responsibilities, required skills, and qualifications for the position. The role involves handling various financial and customer-related tasks, such as order processing, invoicing, and dispute management. The ideal candidate should have a relevant degree, experience in account receivable processes, and proficiency in accounting software.

Data Engineer - Databricks specialist

Company: IBM

Location: Vilnius, LT

Posted Dec 04, 2025

The job posting is for a Data Engineer with expertise in Databricks to design and optimize data processing frameworks. The role involves building streaming and batch data pipelines, optimizing performance, and supporting AI/ML workflows. Required skills include Python, PySpark, SQL, and experience with cloud platforms and Databricks.

Managing Consultant - SAP S/4HANA IS (m/w/d)

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text describes a role at IBM Consulting where the individual will work closely with clients worldwide to improve their hybrid cloud and AI journey. The role involves consulting on strategy, business processes, requirements analysis, solution design, and IT implementation, with a focus on SAP S4HANA solutions. The position requires strong communication skills, negotiation abilities, and a willingness to work on-site with clients.

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.

Related Pages