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.

Oracle Cloud Solution Architect

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This role involves supporting Oracle Cloud implementations, requiring ERP experience and expertise in financials. It emphasizes collaboration with clients and strategic partnerships to drive innovation.

OneSource Technical Solution Architect

Company: IBM

Location: PETALING JAYA, MY

Posted Dec 09, 2025

The text describes a job role focused on business analysis, tax solutions, and IT process optimization within IBM's Finance and Order to Cash Systems. It outlines responsibilities including requirements gathering, system compliance, and technical training, while specifying educational and technical qualifications.

Infrastructure Specialist-AWS DevOps

Company: IBM

Location: Pune, IN

Posted Dec 09, 2025

This job description outlines a role at IBM Consulting's delivery centers, focusing on technical expertise and innovation for public/private sector clients. It lists educational requirements, technical skills in DevOps tools, cloud environments, and communication abilities.

Industry Consultant-Life Sciences

Company: IBM

Location: Pune, IN

Posted Dec 09, 2025

This job description outlines a role at IBM Consulting involving technical expertise delivery, client collaboration, and project management responsibilities. It specifies educational requirements, industry experience, and skills needed for insurance-related solutions and system impact analysis.

Senior Manager - Employee Data Management

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. The role requires expertise in process improvement and transformation while fostering a culture of learning and empathy.

PROCESS INNOVATION PROFESSIONAL-LEAD TO CASH

Company: IBM

Location: Gurgaon, IN

Posted Dec 09, 2025

This role involves working with global clients to drive digital transformation using agile methods and AI. Responsibilities include managing accounts receivable and ensuring SLA compliance. Required skills include a bachelor's degree, 6+ years of experience, and proficiency in ERP software. The position emphasizes collaboration, innovation, and career growth opportunities.

Application Developer-Cloud Integration

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description outlines a role at IBM Consulting involving software development, API configuration, and technical expertise in areas like API Connect DataPower, REST/SOAP APIs, and networking concepts. It specifies educational requirements, preferred qualifications, and responsibilities including code development, troubleshooting, and collaboration with clients.

General Accounting Professionals

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 09, 2025

This job description outlines the role of a General Ledger Accountant at IBM, including responsibilities like financial record management, reconciliation, and intercompany processing, along with required skills and qualifications.

Tech Support Intern 2026

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

IBM Software Support is seeking passionate interns to join their Technical Support Engineering team, offering opportunities to gain hands-on experience, collaborate with experts, and contribute to client success. The role emphasizes problem-solving, customer satisfaction, and professional growth through AI tools and industry-leading support practices.

Data Engineer-Data Integration

Company: IBM

Location: Navi Mumbai, IN

Posted Dec 09, 2025

This role involves data engineering tasks, collaboration with teams, and requires expertise in data warehousing, cloud technologies, and scripting languages.

User Researcher - Public Sector

Company: IBM

Location: London, GB

Posted Dec 09, 2025

IBM CIC offers extensive career growth opportunities, a supportive culture, and diverse benefits including training, flexible working, and innovation-focused environments. The role emphasizes collaboration, user research, and professional development in a dynamic industry setting.

Application Developer-Open Source

Company: IBM

Location: Mysore, IN

Posted Dec 09, 2025

This text describes a career opportunity at IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI, and technical expertise in software development. It outlines responsibilities, required skills, and growth potential within IBM's ecosystem.

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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