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.

Package Consultant-SAP Application Extensions

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description outlines a developer role at IBM Consulting, requiring expertise in ABAP, HANA, and SAP technologies. Responsibilities include designing systems, integrating software, and delivering technical solutions to clients. Educational requirements include a bachelor's degree with preferred master's, and significant experience in specific technical areas.

Data Engineer-Data Warehouse

Company: IBM

Location: Pune, IN

Posted Dec 09, 2025

This job description outlines a Data Engineer role at IBM, involving data analysis, innovation, and collaboration in technical projects. Responsibilities include working with diverse teams, using advanced tools, and contributing to data-driven solutions in a dynamic Agile environment.

Application Developer-SAP ABAP HANA

Company: IBM

Location: Mumbai, IN

Posted Dec 09, 2025

This text describes a Software Developer role at IBM Consulting, emphasizing collaboration with global clients on hybrid cloud and AI initiatives, technical expertise in SAP HANA and ABAP development, and opportunities for continuous learning. It outlines responsibilities, required education, and technical skills needed for the position.

Workday HCM Functional Consultant (f/m/x)

Company: IBM

Location: Zurich, CH

Posted Dec 09, 2025

This job description highlights a role at IBM Consulting offering career growth, technical expertise, and collaboration with innovative companies. It emphasizes opportunities for professional development, cross-functional teamwork, and working with cutting-edge technologies. The position requires Workday functional expertise and offers benefits like training, certifications, and global project involvement.

Application Developer-Microsoft .NET Stack

Company: IBM

Location: Gurgaon, IN

Posted Dec 09, 2025

This role involves collaborating with clients on hybrid cloud and AI projects, requiring expertise in Microsoft technologies and agile methodologies within IBM's consulting framework.

Associate Business Transformation Consultant Intern 2026

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

IBM Consulting's internship offers professional growth, collaboration with clients, and skill development through diverse projects and mentorship.

Sales Solution Leader Oracle Cloud Infrastructure (OCI), KSA

Company: IBM

Location: Riyadh, SA

Posted Dec 09, 2025

The text describes a senior technical role focusing on Oracle Cloud Infrastructure solutions, emphasizing collaboration with clients, innovation, and leadership in solving complex challenges. It highlights required expertise, responsibilities, and opportunities for impactful work in emerging technologies.

Application Developer - IT Service Management

Company: IBM

Location: Calgary, CA

Posted Dec 09, 2025

This role involves collaborating with clients on IBM technology solutions, emphasizing technical expertise and agile methodologies. It requires ServiceNow experience and leadership skills, offering opportunities to innovate and solve business challenges through strategic partnerships.

Programa de Prácticas - Data Engineer

Company: IBM

Location: SANTIAGO DE CHILE, CL

Posted Dec 09, 2025

The role involves analyzing data to support strategic decisions, collaborating across teams, and using tools like Power BI to drive improvements in business processes. It emphasizes innovation, client impact, and leveraging IBM's technology platforms for meaningful organizational change.

Product Management Intern - IBM Storage 2026

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The text highlights IBM's role in providing hybrid cloud infrastructure solutions and emphasizes a growth-minded culture focused on innovation and collaboration. It outlines job responsibilities involving market research, customer analysis, and product development, while detailing required education and technical skills for the position.

Senior Java Engineer

Company: IBM

Location: Cheltenham, GB

Posted Dec 09, 2025

This job description highlights opportunities to work on innovative projects, collaborate with global clients, and contribute to hybrid cloud and AI advancements. It emphasizes career growth, technical expertise, and a supportive work environment with agile methodologies and cross-functional teamwork.

Associate Business Transformation Consultant- Enterprise Strategy

Company: IBM

Location: Jakarta, ID

Posted Dec 09, 2025

The IBM Consulting Associates Program offers growth opportunities, collaboration with global clients, and professional development. It emphasizes innovation, technical skills, and impactful solutions for clients.

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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