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.

Package Consultant-Workday Talent Management

Company: IBM

Location: BANGALORE, IN

Posted Dec 08, 2025

This role involves collaborating with clients on hybrid cloud and AI solutions, requiring expertise in Workday HCM and project management skills.

Package Consultant-Oracle EPM Cloud

Company: IBM

Location: BANGALORE, IN

Posted Dec 08, 2025

This text describes a consulting role at IBM focusing on hybrid cloud and AI solutions, emphasizing collaboration with global clients, innovation through technical expertise, and career growth. It outlines responsibilities like solution development, configuration of financial systems, and Agile methodology, while highlighting required skills in planning modeling and technical implementation.

Application Developer-Cloud FullStack

Company: IBM

Location: Mumbai, IN

Posted Dec 08, 2025

This text describes a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients, technical expertise in cloud development, and requirements for Java proficiency, microservices architecture, and containerized deployments.

Hardware Developer

Company: IBM

Location: Armonk, US

Posted Dec 08, 2025

This text describes a Hardware Developer role at IBM Corporation, outlining responsibilities such as collaborating with vendors, analyzing data, designing processes, and working on semiconductor equipment. It specifies required education and technical expertise in fields like Industrial Engineering and Chemical Engineering, along with experience in methodologies like SPC and DOE.

Senior Cloud Developer

Company: IBM

Location: BANGALORE, IN

Posted Dec 08, 2025

IBM seeks a skilled backend developer to contribute to innovative AI-powered cloud-native solutions, emphasizing growth, global opportunities, and impactful software development for millions of users. The role requires expertise in microservices, cloud technologies, and agile practices, with a focus on high-quality, scalable systems.

Business Transformation Consultant-IoT & Edge Computing

Company: IBM

Location: Gurgaon, IN

Posted Dec 08, 2025

This role involves driving digital transformation in the automotive industry using IoT and AI technologies, focusing on connected vehicles and data-driven solutions. It requires expertise in telematics, cloud platforms, and collaboration with cross-functional teams.

Data Engineer (Informatica Power Center)

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 08, 2025

IBM Consulting offers roles in data engineering with opportunities to work on hybrid cloud and AI projects, requiring expertise in cloud platforms and ETL processes.

PTP Analyst

Company: IBM

Location: Heredia, CR

Posted Dec 08, 2025

The text describes an IBM Consulting intern role involving collaboration on client projects, utilizing latest technologies, and opportunities for skill development and career growth. It outlines responsibilities and requirements for the position.

Project Administrator-Project Support (Hazel Balagtas)

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 08, 2025

This text describes a career in IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI, and project administration responsibilities. It highlights technical expertise, organizational skills, and career growth opportunities within IBM's ecosystem.

Application Architect-SAP Enterprise Integration

Company: IBM

Location: Hyderabad, IN

Posted Dec 08, 2025

The text describes a career opportunity in IBM Consulting, emphasizing collaboration with global clients, technical expertise in SAP and cloud technologies, and professional growth. It outlines responsibilities involving Supply Chain projects, innovation, and integration of cloud applications. The role requires extensive SAP experience and specific technical skills, with a focus on delivering impactful solutions for clients.

Solution Architect (HS)

Company: IBM

Location: Leicester, GB

Posted Dec 08, 2025

IBM CIC offers extensive career growth opportunities, diverse teams, and a supportive work environment with benefits like training programs, flexible working, and industry certifications. The role emphasizes innovation, technical expertise, and collaboration across sectors.

Package Consultant-SAP HANA SCM IBP

Company: IBM

Location: BANGALORE, IN

Posted Dec 08, 2025

This job description highlights a career in IBM Consulting focused on delivering innovative solutions through global collaboration, technical expertise, and strategic SAP implementations. It emphasizes opportunities for professional growth, client impact, and working with cutting-edge technologies.

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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