Artificial Intelligence Systems Architect

2 weeks ago

Anantapur, Andhra Pradesh, India beBeeAIEngineer Full time ₹ 10,00,000 - ₹ 15,00,000

About ARC-Net

We drive industry-oriented AI research into scalable solutions, bringing together top-tier talent 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. With several successful projects already completed, we are expanding our portfolio and growing our impact.

About the Role

You will take ownership of translating research into scalable AI systems, designing architectures, guiding technical decisions, and delivering projects with measurable outcomes. Alongside building solutions, you'll mentor younger engineers and work closely with researchers and industry collaborators to expand our impact.

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.
  5. Contribute to our mission of translating research into solutions with measurable outcomes.

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 ability to work in fast-paced, collaborative environments.

Preferred Skills and 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.
  4. Active connections or participation in the AI, SaaS, or broader tech community.

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