Scalable AI Architect

2 days ago

Kottayam, Kerala, India beBeeAIEngineer Full time ₹ 15,00,000 - ₹ 20,00,000

About ARC-Net

We drive industry-oriented AI research into scalable solutions, backed by IISc Bengaluru and ARTPARK. We bring together top-tier talent, research potential, and industry partners to take on projects with industry relevance.

We have delivered successful projects in space technology and AI-based interview assessment, alongside ongoing research in Climate Tech and MedTech.

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.

About the Role

You will be responsible for translating research into scalable AI systems as a Senior AI Engineer. You will design architectures, guide technical decisions, and deliver projects with measurable outcomes.

The role involves architecting and operationalizing technical roadmaps for AI projects, leading design and development of scalable, industry-relevant AI solutions, collaborating with faculty, researchers, and industry partners, and managing project teams.

Key Responsibilities

  1. Architect and operationalize technical roadmaps for AI projects.
  2. Lead design and development of scalable, industry-relevant AI solutions.
  3. Collaborate with faculty, researchers, and industry partners to define goals, milestones, and deliverables.
  4. Manage project teams by providing technical roadmaps and mentorship to young engineers and researchers who are part of the team.

Required Skills and Qualifications

  1. Bachelor's or Master's degree in Computer Science.
  2. Proven 3 years of experience working with R&D focused cross-disciplinary projects.
  3. Proficiency in system architecture, model design, and scalable implementation.
  4. Excellent communication and collaboration skills in fast-paced environments.

Preferred Qualifications

  1. Experience in translating research into shipped solutions (e.g., prototypes, products, or platforms).
  2. Background in industry–academia collaborations, technology transfer, or original research initiatives.
  3. Familiarity with innovation ecosystems, or applied research labs.

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