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.

Application Developer-Oracle Cloud Reporting

Company: IBM

Location: Kolkata, IN

Posted Dec 09, 2025

This job description outlines a consultant role at IBM Consulting, focusing on delivering technical expertise to clients through innovation and technology adoption. Responsibilities include developing solutions for user experience, performance, and scalability, while meeting client specifications. Requirements include a bachelor's degree, Oracle Cloud experience, and technical skills in integration and reporting.

Application Developer-SAP ABAP HANA

Company: IBM

Location: Kolkata, IN

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration with global clients, technical expertise, and opportunities for innovation. Responsibilities include software development, stakeholder collaboration, and continuous learning, with requirements spanning education and technical skills in SAP and ABAP.

Designer - Intern 2026

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This text promotes an IBM internship opportunity emphasizing career growth, innovation, and collaboration in creating AI-powered cloud-native solutions. It highlights required skills like UI design, problem-solving, and communication, while showcasing a dynamic and supportive work environment.

SAP Functional Consultant - Transportation Management (TM)

Company: IBM

Location: Bedford, CA

Posted Dec 09, 2025

This text describes a SAP TM Consultant role at IBM Consulting, emphasizing collaboration with clients, innovation in hybrid cloud and AI solutions, career growth opportunities, and technical expertise in SAP systems. It highlights problem-solving, continuous improvement, and working with global clients.

Service Designer - Public Sector

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

IBM CIC offers career growth, training, and a supportive culture with opportunities for innovation and professional development.

Package Consultant-Oracle Cloud HCM

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

The role involves working with clients to innovate and solve business challenges using IBM's technologies, emphasizing collaboration, continuous improvement, and expertise in Oracle Cloud solutions.

Application Architect - IBM Technology

Company: IBM

Location: Mumbai, IN

Posted Dec 09, 2025

This text describes a senior data architecture role at IBM Consulting, emphasizing collaboration with global clients, expertise in cloud and AI technologies, and leadership in designing scalable data platforms. It highlights technical requirements and career growth opportunities within IBM's ecosystem.

Data Scientist - Public Sector

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The text promotes IBM CIC's career opportunities emphasizing growth, innovation, and benefits like training programs, career development, work-life balance, and cutting-edge AI projects. It highlights a supportive culture, mentorship, and global client impact while outlining technical requirements for a Senior Data Scientist role.

Senior Software Engineer - HashiCorp Consul

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description highlights a Senior Software Engineer role at IBM focusing on cloud-native solutions, distributed systems, and technical leadership. The position emphasizes innovation, collaboration, and impactful contributions to industry-leading AI-powered infrastructure.

Data Engineer-Data Platforms-AWS

Company: IBM

Location: Kochi, IN

Posted Dec 09, 2025

The text describes a Data Engineer role at IBM Consulting, emphasizing technical expertise in big data technologies like Spark, Hadoop, and Azure cloud platforms. It outlines responsibilities involving data pipeline development, streaming solutions, and cloud ecosystem components. Required qualifications include a bachelor's degree, 4+ years of big data experience, and proficiency in tools such as DataBricks and SQL.

Software Engineering Manager - HashiCorp Terraform Registry

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description highlights a technical engineering management role at IBM focused on managing the Terraform Registry, collaborating with global teams, and driving infrastructure as code solutions. It emphasizes career growth, technical leadership, and contributions to cloud-native software development.

Appian Architect/Senior Developer

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration with global clients and opportunities to drive innovation. The role requires expertise in Appian development, integration technologies, and Agile methodologies, with a strong emphasis on security and performance optimization.

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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