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.

Senior SAP ABAP MDG Developer

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 09, 2025

This text describes a SAP ABAP Developer role at IBM Consulting, highlighting opportunities to work on hybrid cloud and AI projects with global clients. Responsibilities include software development, technical expertise, and collaboration with teams. Requirements emphasize SAP ABAP skills, leadership, and certifications.

IT Trainee

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This text promotes an IBM Consulting career offering global client collaboration, skill development, and opportunities to work on innovative IT projects. It highlights growth potential, mentorship, and a supportive work environment with flexible arrangements.

Consultor SAP WMS (Inglés avanzado)

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This role involves working with clients on SAP WMS solutions, collaborating across teams, and supporting supply chain processes. Requirements include a bachelor's degree and experience as an SAP consultant.

Package Specialist-SAP SCM WMS

Company: IBM

Location: Pune, IN

Posted Dec 09, 2025

This job description outlines a role at IBM Consulting involving SAP solution implementation, technical expertise in warehouse management, and requirements for education and experience in SAP systems. The position emphasizes client collaboration and technical delivery in innovation centers.

Package Consultant-Oracle Finance Cloud

Company: IBM

Location: Kolkata, IN

Posted Dec 09, 2025

This job description outlines a role at IBM Consulting involving technical expertise, innovation, and Oracle application experience. Responsibilities include partnership development, technical solutions, and testing processes. Requirements emphasize education, specific Oracle modules, and collaboration with stakeholders.

Security Consultant-Data Security

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description outlines a Security Consultant role at IBM, emphasizing expertise in application security, technical skills, and collaboration with teams. It details responsibilities, required education, technical expertise, and preferred qualifications for the position.

Cobol Developer - Japanese Bilingual

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients, technical expertise in mainframe systems, and opportunities for career growth through continuous learning and problem-solving.

Application Developer-Cloud FullStack

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This text describes a career opportunity at IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI, and career growth. It highlights responsibilities like developing customized systems, working in agile environments, and leveraging IBM's technology platforms. The role emphasizes teamwork, communication skills, and technical expertise in areas like Java, Spring Boot, and microservices, while offering professional development and a global impact.

Application Developer-Microsoft .NET Stack

Company: IBM

Location: Kochi, IN

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI innovation through global client collaboration. The role emphasizes technical expertise, cross-functional teamwork, and delivering scalable solutions for innovative companies. Required skills include programming languages, databases, and frameworks, with preferred qualifications in advanced technologies and methodologies.

Package Consultant-SAP HR Comp & Payroll

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description outlines a role in IBM Consulting focusing on hybrid cloud and AI innovation, requiring SAP HR expertise and collaboration with global clients. It highlights opportunities for impactful work and technical specialization in IBM's ecosystem.

Application Developer-Cloud FullStack

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients, technical expertise, and opportunities for impactful work through strategic partnerships and technology platforms.

Package Consultant-SAP FIN FI

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

The text describes a senior SAP Consultant role at IBM Consulting, emphasizing collaboration with clients, professional growth opportunities, and the impact of delivering innovative solutions. It highlights required expertise in SAP modules and preferred experience in Controlling, while showcasing the potential for career development and technical advancement.

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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