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.

Process Delivery Specialist

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 09, 2025

The text describes a career in IBM Consulting emphasizing collaboration with global clients, innovation in hybrid cloud and AI, and opportunities for career growth. It highlights responsibilities like master data management, adherence to regulations, and required skills such as accounting software proficiency and attention to detail.

Data Engineer-Data Warehouse

Company: IBM

Location: Kochi, IN

Posted Dec 09, 2025

This job description outlines a Data Engineer role at IBM Consulting, emphasizing collaboration in innovation centers, technical expertise in data processing, and use of advanced tools like Spark and Hadoop. The position requires teamwork, communication skills, and experience with ETL tools and programming languages.

BUSINESS TRANSFORMATION CONSULTANT-FINANCE-GROUP MANAGER

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on global client collaboration, digital transformation, and innovation. It emphasizes opportunities for career growth, strategic partnerships, and impactful work with industry leaders, while outlining technical expertise and experience requirements.

SAP Basis Consultant - SAP Solution Manager Exp

Company: IBM

Location: Giza, EG

Posted Dec 09, 2025

This text describes a job role for an SAP Solution Manager Consultant, outlining responsibilities such as managing SAP systems, ensuring alignment with business requirements, and requiring expertise in SAP Basis, security planning, and system maintenance. It also lists technical skills and project support expectations.

Dealmaker

Company: IBM

Location: PETALING JAYA, MY

Posted Dec 09, 2025

IBM's AI and data platform enables organizations to leverage data across hybrid environments, creating value through trust, speed, and innovation. The role involves leading complex technology deals, articulating business value, and structuring long-term contracts with international clients.

D365 Technical Consultant with PowerPlatform experience

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This role involves working with clients on Microsoft solutions, emphasizing collaboration, innovation, and growth opportunities. Required skills include expertise in Microsoft technologies and Agile methodologies.

Entry Level Product Manager: 2026

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This text outlines the role of a Product Manager in AI and data-centric offerings, emphasizing collaboration across teams, ethical AI practices, and data-driven strategies to deliver innovative solutions. It highlights required skills in agile methodologies, product analytics, and cross-functional stakeholder alignment.

Intern 2026: IBM Quantum Sales and Operations

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The text describes an internship opportunity at IBM Research focused on Quantum Computing, highlighting responsibilities like client engagement, sales support, and technical communication. It emphasizes IBM's innovation-driven culture, required skills in communication and technology, and the transformative potential of quantum computing. The role combines technical expertise with business acumen, offering growth in a cutting-edge field.

Cloud Platform Software Engineer - OpenSearch

Company: IBM

Location: Markham, CA

Posted Dec 09, 2025

This text promotes IBM's software career opportunities, highlighting innovation in AI-powered cloud-native solutions, collaborative environments, and professional growth. It outlines roles involving cloud infrastructure, open-source projects, and technical expertise in Kubernetes and distributed systems.

Consultant SAP HANA FIN FSCM. Cash Liquidity Management- BCM

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The text describes a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients, technical expertise in SAP CLM and BCM components, and requirements for configuring payment workflows and integrating with banking systems. It highlights opportunities for impactful work with innovative companies and strategic technology platforms.

Consultant FinOps Cloud & Transformation Digitale Junior - H/F - IBM Client Innovation Center

Company: IBM

Location: Bois Colombes Cedex, FR

Posted Dec 09, 2025

This text promotes an IBM Consulting role emphasizing collaboration with global clients, innovation in cloud and digital transformation, and career development opportunities through technical expertise and strategic projects.

PROCESS INNOVATION PROFESSIONAL-RECORD TO REPORT

Company: IBM

Location: Chennai, IN

Posted Dec 09, 2025

This role involves accounting responsibilities, collaboration with clients, and career growth opportunities at IBM Consulting, requiring expertise in R2R processes and ERP systems.

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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