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IBM is Hiring for AI Engineer

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Job Overview

IBM is seeking an AI Engineer to join its Global Sales team in Bangalore. This role is designed for early professionals who are eager to contribute to IBM’s mission of shaping the future of hybrid cloud and AI adoption. The AI Engineer will play a pivotal role in engineering pilot platforms, deploying WatsonX and other IBM strategic software, and supporting client engineering pilots to achieve impactful business outcomes. This position offers the opportunity to work on cutting-edge technologies, collaborate with global teams, and contribute to real-world solutions that drive innovation at scale.

Job Details

Company: IBM India Private Limited
Job Position: AI Engineer
Location: Bangalore, Karnataka, India (Hybrid)
Qualification: Bachelor’s Degree
Experience: Entry Level (Early Professional)
Salary: Estimated β‚Ή8 LPA – β‚Ή14 LPA (based on industry standards for AI roles in India)
Employment Type: Full-time, Regular
Shift: General (Daytime)
Travel Required: No Travel
Work Arrangement: Hybrid

Key Responsibilities

  1. Engineer pilot platforms to deliver customer business and technical outcomes.
  2. Improve deployment processes for client engineering pilots.
  3. Collaborate with global teams to co-create and deliver hybrid cloud solutions.
  4. Deploy WatsonX and IBM’s strategic software using DevOps/MLOps practices.
  5. Provide deep technical expertise on hybrid cloud platforms and automation.
  6. Offer deployment guidance on Red Hat OpenShift and its managed offerings.
  7. Design and deploy solutions across public and private cloud providers.
  8. Build and maintain robust client relationships during pilot execution.
  9. Use DevOps, GitOps, and MLOps frameworks for automation and scaling.
  10. Implement containerized applications and troubleshoot deployment issues.
  11. Recommend architectural guidance for hybrid cloud adoption.
  12. Develop reference cases and reusable assets from successful projects.
  13. Share learnings and best practices across technical sales teams.
  14. Promote hybrid cloud adoption through effective communication.
  15. Ensure alignment with IBM’s global standards and methodologies.
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Required Skills and Knowledge

  1. Strong knowledge of deploying containerized applications on Kubernetes.
  2. Expertise in public cloud platforms including compute, networking, and security.
  3. Hands-on experience with OpenShift and managed services like ROKS, ROSA, and ARO.
  4. Proficiency in Infrastructure as Code tools such as Terraform and Ansible.
  5. Knowledge of DevOps, GitOps, and MLOps practices.
  6. Strong problem-solving and troubleshooting skills.
  7. Ability to design scalable and secure hybrid cloud solutions.
  8. Familiarity with SRE (Site Reliability Engineering) practices.
  9. Proficiency in deployment automation techniques and tools.
  10. Experience with configuration management tools like ARM templates.
  11. Ability to guide clients on best practices for hybrid cloud deployment.
  12. Strong communication and client engagement skills.
  13. Ability to collaborate effectively with multi-functional teams.
  14. Analytical mindset with focus on customer business outcomes.
  15. Growth mindset and willingness to learn continuously.

About IBM

IBM, founded in 1911, is one of the world’s largest and most innovative technology and consulting companies. Operating in more than 175 countries, IBM serves Fortune 50 clients through expertise in cloud, AI, quantum computing, and blockchain. IBM is committed to responsible technology innovation, delivering solutions that improve businesses, society, and human progress. The company’s greatest strength lies in its people β€” IBMers β€” who continuously reinvent and shape the future through intelligence, reason, and science.

Why Join IBM

  1. Opportunity to work on cutting-edge AI and hybrid cloud solutions.
  2. Global exposure with operations in more than 175 countries.
  3. Collaborative culture that encourages innovation and experimentation.
  4. Strong focus on employee growth and continuous learning.
  5. Inclusive workplace that celebrates diversity and equal opportunity.
  6. Work with Fortune 50 companies on mission-critical projects.
  7. Access to modern tools, methodologies, and practices like DevOps/MLOps.
  8. Career development through training, mentoring, and certifications.
  9. A culture built on trust, feedback, and collaboration.
  10. Opportunities to publish reference cases and reusable assets.
  11. Be part of an early AI adopter and leader in quantum computing.
  12. Hybrid work arrangement offering flexibility.
  13. Competitive compensation and career progression.
  14. A supportive environment fostering curiosity and innovation.
  15. Become part of a brand trusted for over a century in tech leadership.
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Important Links

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