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.

Arquiteto de solução - cognitiva

Company: IBM

Location: SÃO PAULO, BR

Posted Dec 09, 2025

This text describes a senior professional role in IBM Consulting focused on innovation, collaboration, and technical expertise. It highlights opportunities to work with global clients, leverage advanced technologies like AI and cloud computing, and contribute to impactful projects through a culture of continuous learning and growth.

Network and Computer Systems Administrator Apprentice

Company: IBM

Location: POUGHKEEPSIE, US

Posted Dec 09, 2025

The text promotes IBM's apprenticeship program as an opportunity to grow professionally, solve complex problems, and develop skills through hands-on experience. It emphasizes collaboration, learning, and career advancement while outlining requirements and program structure.

Full Stack Developer

Company: IBM

Location: Markham, CA

Posted Dec 09, 2025

This job description highlights opportunities for growth in innovative cloud technologies at IBM, emphasizing career development and impactful projects.

Q2C Professional

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 09, 2025

This job description outlines a role in order management and dispute resolution, requiring strong communication, organizational skills, and a commitment to operational excellence in a fast-paced environment.

Data Engineer-Data Platforms-Azure

Company: IBM

Location: Kochi, IN

Posted Dec 09, 2025

The role involves working in IBM's delivery centers to deliver technical expertise and innovation, focusing on data analysis, predictive modeling, and collaboration with diverse teams using tools like Python and Spark.

Package Consultant-Oracle Cloud HCM

Company: IBM

Location: Kolkata, IN

Posted Dec 09, 2025

This text describes a consulting role at IBM focusing on hybrid cloud and AI solutions, emphasizing collaboration with clients, innovation, and career growth opportunities. Responsibilities include developing technical solutions, managing client relationships, and leveraging IBM's technology platforms to drive business impact.

Sr. Process Analyst Finance & Administration Delivery - Order to Cash

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on digital transformation, hybrid cloud, and AI initiatives. The role involves working with global clients, leveraging agile methodologies and technology platforms, while emphasizing career growth, innovation, and collaborative problem-solving in a supportive environment.

Order to Cash Analyst

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 09, 2025

This job description highlights a role at IBM focused on customer masterdata management, credit handling, and order processing. It emphasizes collaboration, innovation, and problem-solving in a dynamic environment. The position requires technical expertise in finance and ERP systems, along with strong communication and analytical skills. The text portrays the role as impactful and growth-oriented, encouraging candidates to lead in technology-driven solutions.

Senior SAP Consultant – Credit Management & TRM

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This text describes a senior SAP consultant role at IBM Consulting, emphasizing collaboration with global clients, technical expertise in SAP systems, leadership opportunities, and career growth through innovative solutions and industry expertise.

Data Scientist Intern (16 months, September 2026)

Company: IBM

Location: Markham, CA

Posted Dec 09, 2025

IBM's Data Scientist internship offers opportunities to work on large-scale systems and AI projects, requiring skills in Python, AI trends, and technical writing. It emphasizes growth and innovation in a collaborative environment.

Package Consultant-Oracle Industry Solutions

Company: IBM

Location: Pune, IN

Posted Dec 09, 2025

This text describes a consulting role at IBM focusing on client collaboration, innovation, and technical expertise. It highlights opportunities to work on global projects, solve complex business problems, and leverage IBM's technology platforms. The role requires specific technical skills and experience with Oracle and Agile methodologies.

Application Developer

Company: IBM

Location: Jakarta, ID

Posted Dec 09, 2025

This job description outlines a career in IBM Consulting focused on ITSM development and client collaboration. The role involves enhancing ITSM modules, designing workflows, and integrating systems with external tools. Required skills include experience with JIRA, SQL, and programming languages, while the company emphasizes strategic partnerships and technology platforms to drive client impact.

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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