Expert System Architect

7 days ago

Shimoga, Karnataka, India beBeeArtificial Full time ₹ 20,00,000 - ₹ 40,00,000
Senior AI Engineer Job Description

About ARC-Net

ARC-Net is a collaborative platform that brings together top-tier talent, IISc's research potential, and industry partners to drive industry-oriented AI research into scalable solutions. We aim to take on projects with industry relevance and deliver successful outcomes.

Our model enables people working with us to contribute to short and long term research oriented industry projects and deliver solutions while building for scale and managing innovation under real constraints. With several successful projects already completed, we are expanding our portfolio and growing our impact.

About the Role

As a Senior AI Engineer at ARC-Net, you will take ownership of translating research into scalable AI systems. You will design architectures, guide technical decisions, and deliver projects with measurable outcomes. Alongside building solutions, you'll mentor younger engineers and work closely with IISc researchers and industry collaborators to expand ARC-Net's impact.

Key Responsibilities:

  • Architect and operationalize technical roadmaps for AI projects.
  • Lead design and development of scalable, industry-relevant AI solutions.
  • Collaborate with faculty, researchers, and industry partners to define goals, milestones, and deliverables.
  • Manage project teams by providing technical roadmaps and mentorship to young engineers and researchers who are part of the ARC-Net team.
  • Contribute to ARC-Net's mission of translating research into solutions with measurable outcomes.

Required Qualifications:

  • BTech/MTech in Computer Science.
  • Proven 3 years of experience working with R&D focused cross-disciplinary projects.
  • Proficiency in system architecture, model design, and scalable implementation.
  • Excellent communication and ability to work in fast-paced, collaborative environments.

Preferred Qualifications:

  • Experience in translating research into shipped solutions (e.g., prototypes, products, or platforms).
  • Background in industry–academia collaborations, technology transfer, or original research initiatives.
  • Familiarity with innovation ecosystems, or applied research labs.
  • Active connections or participation in the AI, SaaS, or broader tech community.

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