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.

Back-End Developer - Sovereign Cloud

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description highlights a software engineer role at IBM focused on designing a world-class cloud platform with sovereign AI capabilities. The position requires expertise in cloud computing, software development, and collaboration on complex systems while emphasizing innovation and problem-solving in a multicloud environment.

Application Developer

Company: IBM

Location: Jakarta, ID

Posted Dec 09, 2025

This role involves collaborating with clients on hybrid cloud and AI projects, emphasizing innovation, career growth, and technical expertise in software development. The position highlights opportunities for impactful problem-solving, strategic stakeholder engagement, and working with cutting-edge technologies.

Senior Workday Integrations Consultant

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 09, 2025

This role involves working with clients to deliver Workday solutions, requiring expertise in integrations and technologies. It offers opportunities for growth and collaboration across industries.

Analyst - Risk and Compliance (Chinese Bilingual)

Company: IBM

Location: PETALING JAYA, MY

Posted Dec 09, 2025

This job description outlines the role of a Risk and Compliance Analyst, emphasizing responsibilities such as risk assessment, compliance data management, and reporting. It lists required qualifications, technical skills, and language proficiencies needed for the position.

Business Transformation Consultant-Finance Analytics

Company: IBM

Location: Pune, IN

Posted Dec 09, 2025

This job description outlines a role as an IBM Consulting Cognos TM1 Developer requiring expertise in ETL processes, Python development, and integration of data pipelines. The position emphasizes collaboration with cross-functional teams and proficiency in Agile methodologies, with qualifications including 8+ years of experience and strong SQL skills.

Package Consultant-SAP SCM APO

Company: IBM

Location: Kolkata, IN

Posted Dec 09, 2025

This text describes a consulting role at IBM emphasizing collaboration with clients, technical expertise in SAP, and opportunities for professional growth. It highlights responsibilities like leading teams, delivering solutions, and gaining industry knowledge, while outlining required qualifications and preferred skills.

Technology Lifecycle Support - Brand Sales Specialist - Open Market

Company: IBM

Location: No City, US

Posted Dec 09, 2025

This job description outlines the role of an IBM Brand Sales Specialist, emphasizing client relationship development, technology strategy, and solution design. The position requires expertise in IBM's TLS portfolio, technical sales skills, and collaboration across teams to drive business growth and deliver value to clients.

Process Delivery Specialist-Record to Report

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 09, 2025

IBM promotes innovation and open hybrid cloud solutions, seeking a detail-oriented professional with accounting/finance expertise and strong analytical skills for a dynamic consulting role.

Package Consultant-Oracle HCM Talent Management Cloud

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This text describes a consulting role at IBM focusing on client collaboration, hybrid cloud innovation, and technical expertise. It outlines responsibilities like solution development, Agile methodology, and Oracle Cloud implementation, emphasizing career growth and impactful client outcomes.

Executive Search Lead

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description highlights a senior recruitment role at IBM with opportunities to shape the company's future, work on innovative strategies, and contribute to executive talent acquisition. It emphasizes global impact, leadership in recruitment, and collaboration with HR and business leaders.

AECC - Virtualization Engineer

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description outlines a Virtualization Engineer role supporting the Army Edge Computing Capability project, involving VMware suite deployment, Infrastructure as Code, and cybersecurity expertise. The position requires in-person work in Radford VA and emphasizes collaboration, innovation, and career growth within IBM Consulting's ecosystem.

Manager – Financial Planning & Analysis (FP&A)

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description highlights a role in financial planning and analysis with opportunities for career growth, collaboration with clients, and leveraging technology for impactful solutions. The position emphasizes data-driven insights, process improvement, and working in a supportive environment with development opportunities.

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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