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.

Business Analyst in Banking sector (French speaking) (f/m/x)

Company: IBM

Location: Bussigny, CH

Posted Dec 10, 2025

This role involves working with clients to drive innovation and career growth, requiring technical expertise and collaboration skills. The position emphasizes long-term relationships, global collaboration, and professional development opportunities within IBM's ecosystem.

Package Specialist-SAP Cloud Integration

Company: IBM

Location: Coimbatore, IN

Posted Dec 10, 2025

This job description outlines a role in IBM's consulting delivery centers, requiring technical expertise in SAP CPI, configuration management, communication skills, and experience with software development and testing. It specifies educational qualifications and preferred qualifications for candidates.

Application Developer-Commerce Transformation (Magento)

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 10, 2025

This text describes a career in IBM Consulting, emphasizing global client collaboration, innovation in hybrid cloud and AI, and technical expertise. It outlines role responsibilities requiring coding skills, cloud architecture knowledge, and DevOps experience, while highlighting the impact of strategic partnerships and technology platforms.

PROCESS DELIVERY SPECIALIST-TALENT DEVELOPMENT OPTIMIZATION PROCESSES

Company: IBM

Location: BANGALORE, IN

Posted Dec 10, 2025

This text describes a career opportunity at IBM Consulting focusing on collaboration with global clients, digital transformation, and career growth. It highlights roles in recruitment, process analysis, and innovation within a supportive ecosystem.

MarTech Strategy Specialist

Company: IBM

Location: SÃO PAULO, BR

Posted Dec 10, 2025

The role involves supporting MarTech initiatives, data integration, and strategic recommendations in a dynamic marketing environment with required experience in marketing operations and technical tools.

Operations Buyer

Company: IBM

Location: BANGALORE, IN

Posted Dec 10, 2025

This job description outlines an Operations Buyer role at IBM with responsibilities including procurement operations, vendor management, and client collaboration. It emphasizes opportunities to lead in technology innovation, solve complex problems, and utilize procurement skills. The position requires 13+ years of experience, strong communication abilities, and ERP tool proficiency.

Consultor(a) SAP SD

Company: IBM

Location: SÃO PAULO, BR

Posted Dec 10, 2025

This role involves working with clients on SAP SD processes, emphasizing career growth and technical expertise in hybrid cloud and AI initiatives. The position highlights collaboration with global clients, innovation in technology adoption, and professional development opportunities within IBM's ecosystem.

Consultant – Digital Engineering

Company: IBM

Location: Multiple Cities

Posted Dec 10, 2025

This job description highlights a role focused on digital engineering, client collaboration, and process improvement. It emphasizes skills in business analysis, technology integration, and delivering real business value through strategic solutions and innovation.

Quality Engineer-Data

Company: IBM

Location: New Delhi, IN

Posted Dec 10, 2025

This role involves working in IBM Consulting Delivery Centers to provide technical expertise to public and private sector clients. Responsibilities include teamwork, training in technical topics, and communication skills. Requirements include a bachelor's degree, SQL proficiency, Azure Databricks experience, and strong stakeholder management.

Package Consultant-SAP HANA SCM IBP

Company: IBM

Location: BANGALORE, IN

Posted Dec 10, 2025

This role involves collaborating with clients on SAP solutions and innovative projects, offering growth opportunities and technical expertise in IBM's consulting environment.

Curador Júnior

Company: IBM

Location: NO City, BR

Posted Dec 10, 2025

This job description outlines a role focused on developing and maintaining virtual assistants through platforms like IBM Watsonx Assistant and Dialogflow. Responsibilities include analyzing conversations, gathering requirements, modeling intents, testing flows, and collaborating on documentation. Required skills involve Python, Git, and familiarity with NLP and AI technologies.

Customer Success Engineer

Company: IBM

Location: CORAL GABLES, US

Posted Dec 10, 2025

This text describes a career opportunity at IBM Software focusing on customer success engineering roles. It highlights the team's expertise in transforming customer challenges into industry-leading solutions, emphasizing cloud-native AI-powered software development. The role involves managing infrastructure and security lifecycle, driving customer adoption of HashiCorp tools, and ensuring timely renewals. Requirements include technical expertise in cloud and DevOps, strong communication skills, and experience with HashiCorp tooling.

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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