Drive Innovation Jobs

717,682 open positions · Updated daily

The surge in AI, IoT, and edge computing has made Drive Innovation roles the pulse of the tech sector. Companies across finance, healthcare, and manufacturing are investing millions in autonomous decision‑making and real‑time analytics, creating a shortage of talent that can build and scale these systems. Demand for engineers who can turn data into actionable insights at the edge is higher than ever, and the pay reflects that urgency.

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Typical Drive Innovation positions include AI/ML Engineers, Edge Solutions Architects, IoT Product Managers, Quantum Algorithm Developers, and Blockchain Infrastructure Engineers. These roles require crafting end‑to‑end pipelines—from training models in Kubernetes clusters to deploying TensorFlow Lite on Raspberry Pi gateways, from writing Rust‑based firmware for 5G‑enabled sensors to authoring smart‑contract logic in Solidity for supply‑chain tracking. Cross‑functional collaboration with hardware teams, data scientists, and cybersecurity specialists is essential.

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Salary transparency is critical for Drive Innovation professionals because the skill set is highly specialized and the market fluctuates quickly. Knowing the exact compensation ranges for roles like Senior AI Engineer or Edge Lead allows candidates to target opportunities that match their expertise and negotiate confidently. Transparent pay also signals organizational commitment to fairness, attracting talent that will drive long‑term innovation.

Application Consultant-EAI

Company: IBM

Location: BANGALORE, IN

Posted Dec 16, 2025

IBM Consulting offers career growth through client collaboration, hybrid cloud, and AI innovation, emphasizing technical expertise and problem-solving in a supportive environment.

Business Transformation Consultant-HR Reinvention

Company: IBM

Location: Multiple Cities

Posted Dec 16, 2025

This text describes a senior Business Transformation Consultant role at IBM Consulting, emphasizing global client collaboration, hybrid cloud/AI innovation, and career growth opportunities through strategic transformation programs and technology integration.

Data Engineer-Data Integration

Company: IBM

Location: BANGALORE, IN

Posted Dec 16, 2025

This job description outlines a role in IBM Consulting's delivery centers focusing on optimizing Ab Initio graphs, collaborating with cross-functional teams, and ensuring efficient data processing for ETL processes. Responsibilities include design reviews, technical expertise, and implementing data quality practices.

Junior Data Scientist - Advanced Analytics (f/m/x)

Company: IBM

Location: WIEN, AT

Posted Dec 16, 2025

This text describes a Data Scientist AI Consultant role at IBM Consulting, highlighting opportunities for career growth, collaboration with innovative clients, and access to advanced technologies. It emphasizes a culture of innovation, professional development, and competitive compensation including flexible working hours and a salary of 55,000€ brutto/year.

OpenSearch Engineer

Company: IBM

Location: San Jose, US

Posted Dec 16, 2025

This role involves developing AI PaaS solutions and collaborating with teams to innovate. IBM offers growth opportunities and a focus on cutting-edge technology.

SAP ABAP HANA Developer

Company: IBM

Location: Multiple Cities

Posted Dec 16, 2025

This text describes a senior SAP Consultant role at IBM Consulting, emphasizing collaboration with clients, technical expertise in SAP HANA, and opportunities for skill development. It highlights responsibilities involving application development, optimization, and DevOps practices, while outlining required and preferred qualifications for the position.

Talent Acquisition Partner

Company: IBM

Location: Tokyo, JP

Posted Dec 16, 2025

IBM HR combines AI and human-centered design to enhance work experiences, streamline processes, and drive innovation through collaboration between hiring managers and recruiters, offering impactful career opportunities globally.

Package Consultant-Oracle Business Analytics Cloud

Company: IBM

Location: BANGALORE, IN

Posted Dec 16, 2025

The text describes a consulting role at IBM focusing on hybrid cloud and AI solutions, emphasizing collaboration, innovation, and career growth. It outlines responsibilities, required skills in technology integration, and the importance of continuous learning. The role involves working with global clients and leveraging IBM's technology to drive impactful results.

Package Consultant-Oracle Business Analytics Cloud

Company: IBM

Location: BANGALORE, IN

Posted Dec 16, 2025

The text describes a career in IBM Consulting emphasizing long-term client relationships, collaboration, and innovation in hybrid cloud and AI solutions. It highlights growth opportunities, technical expertise, and the importance of skills like data migration and API integration for the role.

Site Reliability Engineer Intern

Company: IBM

Location: Multiple Cities

Posted Dec 16, 2025

IBM seeks Site Reliability Engineer Interns to contribute to scalable systems, collaborate on innovation, and solve complex challenges in tech. The role involves designing infrastructure, troubleshooting issues, and applying best practices for reliability.

Global Talent Marketing Specialist

Company: IBM

Location: Multiple Cities

Posted Dec 16, 2025

This role combines traditional employer branding with innovative tactics to attract talent globally, requiring data-driven strategies, presentation skills, and expertise in the India market. It emphasizes problem-solving and cross-functional collaboration to enhance candidate experiences and support hiring initiatives.

Application Developer-Experience Fullstack

Company: IBM

Location: NO City, BR

Posted Dec 16, 2025

The text describes a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients and technical expertise. It outlines responsibilities involving full-stack development, DevOps practices, and cloud technologies, along with required skills in languages like Golang, Python, and tools such as Kafka and Kubernetes.

Frequently Asked Questions

What are typical salary ranges for Drive Innovation roles by seniority?
Junior R&D Engineer or Associate AI Engineer: $80k‑$120k. Mid‑level AI Engineer or Edge Developer: $120k‑$170k. Lead Engineer, Solutions Architect, or Innovation Lead: $170k‑$220k. Senior roles in quantum or blockchain can exceed $220k depending on location and expertise.
What skills and certifications are required for Drive Innovation positions?
Core programming in Python, Rust, or Go; ML frameworks TensorFlow, PyTorch, JAX; container orchestration with Docker/Kubernetes; cloud IoT platforms such as AWS IoT Core, Azure IoT Hub, or Google Cloud IoT; edge runtime environments like EdgeX Foundry; quantum SDKs Qiskit or Cirq; blockchain platforms Hyperledger Fabric or Ethereum; certifications like AWS Certified Machine Learning – Specialty, Certified Kubernetes Administrator, Qiskit Certified Developer, or Certified Blockchain Professional (CBP).
Is remote work available for Drive Innovation jobs?
Yes. Most Drive Innovation listings allow full‑remote or hybrid arrangements, especially for software‑centric roles. Remote work is feasible for tasks that involve development, testing, and cloud deployments; on‑site visits are typically limited to hardware integration or customer demos.
What career progression paths exist within Drive Innovation?
Typical progression: Junior Engineer → Senior Engineer → Lead Engineer/Tech Lead → Solutions Architect or Data Science Lead → Director of Innovation or VP of Emerging Technologies. Each step adds strategic ownership, cross‑team leadership, and product‑market alignment responsibilities.
What industry trends are shaping Drive Innovation?
Key trends: edge AI powered by 5G enabling real‑time inference; quantum machine learning moving from research to pilot projects; IoT security standards like CIP‑V4 and SIEM integration; blockchain for immutable audit trails; and the rise of AI‑driven automation in supply chains. Companies are also investing in low‑code ML platforms to accelerate deployment.

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