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Date Posted:

2026-04-02

Country:

India

Location:

IN-KA-BENGALURU-NORTHGATE ~ Sy No 2/2 Venkatala Village ~ SY NO 2/2 VENKATALA VILLAGE, Yelahanka Hobli

Position Role Type:

Hybrid

Position Summary

We are seeking an AI Solutions Engineer to support our digital transformation initiatives with a focus on AI operations, cloud development, and AI solution support.

In this role, you will assist in the implementation, maintenance, and day‑to‑day operations of internal AI capabilities.

Working within a Scaled Agile Framework (SAFe), you will collaborate with cross‑functional teams to ensure solutions are reliable, secure, and running effectively for internal engineers and business users.

Key Responsibilities

- Partner with diverse teams across the organization to ensure the seamless integration and successful delivery of solutions, adhering to SAFe's collaborative ethos.
- Articulate complex technical concepts clearly and concisely to both technical and non-technical audiences, fostering seamless collaboration across SAFe teams.
- Enhance DevOps methodologies and AIOps strategies, championing containerization and Infrastructure as Code (IaC) best practices.
- Proactively identify and mitigate technical risks associated with projects and initiatives, considering the broader implications within the SAFe context.
- Develop and support integration strategies with existing enterprise systems




- Collaborate with AI engineers and business stakeholders
- Ensure AI solution scalability, security, and compliance
- Enable productive deployment of AI solutions by internal AI engineers
- Ensure solutions meet the needs of business users across the enterprise through proactive issue identification and collaboration

Qualifications and Experience

Required

• 2–4 years of experience in IT, cloud operations, software development, or similar technical roles.

• At least two years experience with AWS/Azure services.

• Basic to intermediate knowledge of container technologies (Docker, Kubernetes).

• Familiarity with DevOps tools (CI/CD pipelines, Git, Jenkins, automation tools).

• Understanding of AI/ML applications and their components.

• Strong, demonstrated analytical and troubleshooting skills.

• Clear written and verbal communication skills.

Preferred

• Experience with Infrastructure as Code tools (Terraform, Ansible, AWS SAM, etc.).

• Exposure to AIOps concepts and monitoring tools (Grafana, Datadog, etc)

• Experience with Databricks or similar Data Science platforms

• Experience working in Agile or SAFe environments.

• Exposure to XR technologies (Unity/Unreal/AR/VR)

Required Skill Profession

Mathematical Science Occupations

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