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

Company: IBM

Location: Riyadh, SA

Posted Dec 12, 2025

This text describes a senior consulting role focused on leading Salesforce transformations, driving sales growth, and delivering large-scale digital solutions. It emphasizes collaboration with clients, ecosystem partners, and IBM teams to achieve strategic objectives while maintaining compliance and delivering high-value outcomes.

Application Architect-SAP HANA Development

Company: IBM

Location: BANGALORE, IN

Posted Dec 12, 2025

IBM Consulting offers career growth through collaborative innovation, client-focused solutions, and technical expertise in hybrid cloud and AI projects. The role emphasizes long-term relationships, strategic problem-solving, and professional development opportunities within a supportive ecosystem.

Salesforce Developer

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 12, 2025

This job description highlights a career in IBM Consulting with opportunities for global client collaboration, hybrid cloud and AI innovation, and professional growth. The role emphasizes technical expertise in Salesforce development, teamwork, and mentorship, while offering training and career advancement prospects.

Project Manager Finance

Company: IBM

Location: Bedford, CA

Posted Dec 12, 2025

This job posting outlines responsibilities related to project financial management, including budgeting, forecasting, and reporting. It specifies required and preferred qualifications such as education, security clearance, and technical skills. The text emphasizes collaboration between hiring managers and recruiters while detailing experience and proficiency requirements.

Package Consultant-SAP HANA SCM PLM

Company: IBM

Location: Pune, IN

Posted Dec 12, 2025

The text describes a career in IBM Consulting focused on client collaboration, innovation, and technical expertise in SAP EHS. It highlights opportunities to work on hybrid cloud and AI projects with global clients, emphasizing strategic partnerships and technology platforms.

Data Governance Lead

Company: IBM

Location: Heredia, CR

Posted Dec 12, 2025

The role involves data governance analysis, collaboration with stakeholders, and requires experience in data policies. It offers technical expertise and innovation opportunities in enterprise data strategies.

Package Consultant-SAP HANA Application Security

Company: IBM

Location: Kolkata, IN

Posted Dec 12, 2025

The role involves working in IBM's delivery centers to deliver technical expertise and innovate solutions for clients. Responsibilities include SAP security implementation, project leadership, and testing. Required experience includes SAP Security Implementation and ECC 60 role build.

Python Data Engineer

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 12, 2025

The text describes a career in IBM Consulting emphasizing collaboration, innovation, and technical expertise. It highlights opportunities to work with global clients, develop hybrid cloud and AI solutions, and grow professionally through a supportive ecosystem.

Data Engineer (Python/SQL)

Company: IBM

Location: Heredia, CR

Posted Dec 12, 2025

This text describes a job opening for a Data Engineer at Hakkoda, an IBM company specializing in Snowflake Data Cloud solutions. The role involves designing data pipelines, working with cloud platforms, and collaborating with clients. Requirements include experience with SQL, Python, and cloud data platforms, along with agile teamwork skills.

Package Specialist-SAP HANA Basis

Company: IBM

Location: Pune, IN

Posted Dec 12, 2025

This job description outlines a role requiring technical expertise in SAP and related technologies, with responsibilities including backup/recovery, system monitoring, and project support. It specifies educational qualifications and experience in areas like SAP upgrades, HANA migration, and database management.

Quality Engineer-FullStack

Company: IBM

Location: BANGALORE, IN

Posted Dec 12, 2025

This job description outlines a Middleware Testing Practitioner role at IBM Consulting, emphasizing technical expertise, automation tools, and experience in testing solutions. It lists required education, technical skills, and preferred qualifications for the position.

DevOps Infrastructure Specialist - Defence

Company: IBM

Location: Cheltenham, GB

Posted Dec 12, 2025

The text promotes IBM CIC's career opportunities, highlighting benefits like professional growth, training programs, flexible work arrangements, and a supportive culture. It emphasizes collaboration, innovation, and career development while outlining technical requirements for a Senior DevOps Infrastructure Specialist role.

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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