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.

Senior Managing Consultant - Finance Transformation

Company: IBM

Location: London, GB

Posted Dec 11, 2025

This role involves leading finance transformation projects using AI and digital solutions, collaborating with global clients, and fostering career growth through innovation and mentorship.

Package Consultant-SAP HANA SCM SD

Company: IBM

Location: Hyderabad, IN

Posted Dec 11, 2025

This text describes a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration with global clients and impactful technological integration. The role involves complex SAP implementations, strategic partnerships, and technical expertise in areas like sales, service, and business process integration. It highlights opportunities for growth and meaningful contributions through consultative skills and innovation.

SAP Technical Support – Fiori

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 11, 2025

This job description highlights a senior SAP Consultant role at IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI, career growth opportunities, and expertise in SAP technologies. The position offers impactful work with strategic partners and technical development opportunities.

Solution Architect-SuccessFactors (m/w/d)

Company: IBM

Location: Multiple Cities

Posted Dec 11, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration with global clients, innovation, and professional growth. The role involves designing SAP SuccessFactors architectures, ensuring compliance, and leading cross-functional teams to deliver impactful technology implementations.

SAP Consultant FSCM TRM Cash & Liquidity

Company: IBM

Location: Multiple Cities

Posted Dec 11, 2025

This text describes a career opportunity in IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI solutions, and professional growth through strategic partnerships and technology expertise.

Manager – Financial Planning & Analysis (FP&A)

Company: IBM

Location: BANGALORE, IN

Posted Dec 11, 2025

This text describes a FP&A Analyst role at IBM Consulting, emphasizing career growth, collaboration with clients, technological advancements, and professional development opportunities. It highlights responsibilities involving financial planning, data analysis, and process improvement using advanced tools and methodologies.

SAP Basis consultant

Company: IBM

Location: Multiple Cities

Posted Dec 11, 2025

This text describes a career in IBM Consulting focused on SAP HANA systems, emphasizing collaboration with clients, technical expertise, and opportunities to drive innovation. It outlines responsibilities like system implementation, optimization, and migration, along with required skills and educational qualifications.

Back-end Developer Intern

Company: IBM

Location: BANGALORE, IN

Posted Dec 11, 2025

This text describes an IBM internship opportunity focusing on Product Engineering support, requiring skills in programming, computer architecture, and problem-solving. It highlights the chance to work on complex mainframe projects and collaborate with clients, emphasizing innovation and technical challenge.

Sr.Resident Solutions Engineer

Company: IBM

Location: Tokyo, JP

Posted Dec 11, 2025

This text describes a Resident Solutions Engineer role at HashiCorp, outlining responsibilities such as building infrastructure pipelines, ensuring security compliance, and optimizing performance. It emphasizes required experience in cloud transformation, technical tools, and Japanese proficiency, while highlighting the importance of innovation and operational efficiency in supporting global enterprises.

Principal Software Engineer, HashiCorp Terraform Enterprise

Company: IBM

Location: Multiple Cities

Posted Dec 11, 2025

This job description highlights a senior technical leadership role at IBM focusing on scalable cloud solutions, architectural guidance, and enterprise-level innovation. The position emphasizes strategic direction, operational resilience, and expertise in distributed systems and security.

Consultor SAP - Cloud Integration (CPI/BTP)

Company: IBM

Location: Multiple Cities

Posted Dec 11, 2025

This text describes a SAP DeveloperConsultant role at IBM Consulting, emphasizing collaboration with global clients, technical expertise in cloud integration, and opportunities to drive innovation through strategic partnerships and technology platforms.

Application Developer-Process Management (BPM)

Company: IBM

Location: BANGALORE, IN

Posted Dec 11, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients, technical expertise in BPM tools, and requirements for Appian experience and database knowledge.

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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