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.

AI Developer - Experienced

Company: IBM

Location: Kochi, IN

Posted Dec 17, 2025

This job posting describes a role in Kochi India focused on AI and data engineering for digital transformation. Responsibilities include building AI agents, developing data pipelines, and collaborating globally. Required skills involve Python, SQL, and data pipeline experience. The position offers opportunities to impact business outcomes through innovative solutions.

Application Developer-Cloud FullStack

Company: IBM

Location: BANGALORE, IN

Posted Dec 17, 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. Responsibilities include software development, stakeholder collaboration, and continuous learning, with requirements spanning Java, React, and database experience.

Package Consultant-SAP Ariba SLP

Company: IBM

Location: KARACHI, PK

Posted Dec 17, 2025

The text outlines job responsibilities related to customer needs analysis, solution design, and sales support. It details required education, technical expertise, and preferred skills such as business process development and quantitative analysis. The role emphasizes collaboration, client relationship building, and staying updated with procurement solutions.

Application Developer-Edge & Network Cloud

Company: IBM

Location: Gurgaon, IN

Posted Dec 17, 2025

The text highlights opportunities in IBM Cloud, emphasizing career growth, innovation, and technical development. It outlines roles involving product development, collaboration, and expertise in cloud technologies, with requirements including certifications and experience in networking and automation.

SAP BTL Lead

Company: IBM

Location: Multiple Cities

Posted Dec 17, 2025

IBM Consulting offers career opportunities focused on client relationships, hybrid cloud, and AI innovation. The culture emphasizes growth, collaboration, and technical expertise in roles like Application Developer and Security Administrator.

Data Engineer - Data Platforms - Azure

Company: IBM

Location: Multiple Cities

Posted Dec 17, 2025

This job description outlines a Data Engineer role focused on building scalable data platforms on Microsoft Azure, designing ETL pipelines, and developing analytics solutions. The position requires expertise in Azure tools, SQL, Power BI, and data governance, with opportunities to collaborate across industries and deliver impactful cloud-native solutions.

SAP FI Consultant - Group Reporting (Hana)

Company: IBM

Location: Multiple Cities

Posted Dec 17, 2025

This text describes a career opportunity in IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI solutions, and the role's focus on delivering high-quality SAP HANA implementations. It highlights the importance of technical expertise, industry knowledge, and working within IBM's delivery centers to drive technological adoption and client success.

Analista de Infra/SRE

Company: IBM

Location: NO City, BR

Posted Dec 17, 2025

This text describes a career opportunity at IBM Consulting focused on digital transformation through agile methodologies and AI-driven processes. It highlights collaboration with clients, innovation in cloud and AI solutions, and a culture emphasizing long-term growth, technical expertise, and creative problem-solving. The role requires DevOps/SRE skills, Kubernetes administration, and automation expertise, with a strong emphasis on career development and impactful outcomes.

Data Scientist-Advanced Analytics

Company: IBM

Location: BANGALORE, IN

Posted Dec 17, 2025

IBM Consulting offers a career focused on AI and analytics, emphasizing innovation, client collaboration, and professional growth through advanced technologies and strategic partnerships.

Technical Support engineer - PLM QM

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 17, 2025

IBM Consulting offers global collaboration opportunities with innovative clients. The role involves SAP HANA SCM QM consulting, requiring a bachelor's degree and technical expertise in quality management processes.

Microsoft Dynamics 365 CE - Developer

Company: IBM

Location: Multiple Cities

Posted Dec 17, 2025

This role involves developing CRM solutions and collaborating with teams to enhance client projects, requiring expertise in Dynamics 365 and Power Platform.

External Relations Professional

Company: IBM

Location: Multiple Cities

Posted Dec 17, 2025

IBM promotes a positive vision of technology shaping the world through innovation and collaboration. The text highlights corporate responsibility, digital transformation, and opportunities for impactful work in a supportive culture. Job roles emphasize strategic communications, media relations, and driving market leadership through creative storytelling and cross-functional teamwork.

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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