Associate Prof OR HOD

Angel and Genie Hiring For Angel and Genie; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Angel and Genie invites applications for the Chief Academic Officer (CAO) / Head of Department for AI, Automation & Built Environment Technologies. The role anchors academic governance, industry collaboration with OEMs, and oversight of five programs at Bengaluru on-campus.

The ideal candidate will hold AICTE Level 14 credentials, a PhD in a technology field, 10+ years of teaching/research/industry, and a proven leadership track in academic governance, accreditation and research funding.

Qualifications

• PhD in AI, CS, Electronics, Electrical, Instrumentation, Mechatronics, Mechanical, Industrial Engineering, Building Services, or Management with technology focus.
• First Class at Bachelors or Masters level (M.E./M.Tech. or 2-year full-time MBA/PGDM).
• 10+ years of total experience in teaching, research, or industry; minimum 3 years as Associate Professor or above.
• 10+ research publications in SCI, Scopus, or UGC-CARE journals; Ph.D. supervision of at least 2 scholars.

Responsibilities

• Own academic governance, statutory compliance, laboratory utilization, research agenda, and placement outcomes across five programs.
• Drive accreditation cycles (AICTE, NBA/NAAC) and maintain quality benchmarks.
• Lead industry partnerships and coordinate with OEMs for curriculum relevance and placements.

Skills

Academic leadership

Governance

Industry collaboration

Strategic planning

Education

PhD in AI/CS/Engineering

First Class in Bachelors/Masters

Job description

HOD / Professor (AI, Automation & Building Mgmt Technology) Bangalore Up to 15 years Up to 20 LPA Job Type: Full Time Job Location: Bengaluru Salary: As per industry norms Years of Experience: 10 to 15 years Cadre & Level: Professor (AICTE Academic Level 14) Location: Bengaluru, Karnataka (On-Campus) Engagement: Full-time, Regular

About the Role

We are seeking an exceptionally qualified academic and industry leader to serve as the Chief Academic Officer (CAO) / Head of Department for our AI, Automation & Built Environment Technologies vertical.

This role bridges conventional academic excellence with cutting-edge OEM industry integration (SMC Corporation, Schneider Electric, FANUC, Lucas-Nlle, Bharat Electronics, and IIT Ropar). The CAO will own academic governance, statutory compliance, laboratory utilization, research agenda, and placement outcomes across five core undergraduate, postgraduate, and diploma programs.

Programmes Owned

• B.Tech AI, Robotics & IIoT
• BBA Building Management Technology
• PGDM AI & ML Industrial Automation 4.0
• PGDM Global
• MBA Applied AI for Automation

Mandatory Eligibility Criteria

• Academic & Statutory Norms (AICTE Level 14)Ph.D. in AI, CS, Electronics, Electrical, Instrumentation, Mechatronics, Mechanical, Industrial Engineering, Building Services, or Management with a technology specialization.First Class at Bachelors or Masters level (M.E./M.Tech. or 2-year full-time MBA/PGDM).10+ years of total experience in teaching, research, or industry (minimum 3 years as Associate Professor or above).10+ research publications in SCI, Scopus, or UGC-CARE listed journals.Ph.D. Supervision: Successfully guided at least 2 Ph.D. scholars (as supervisor/co-supervisor) or recognized guide status with an approved university.
• Dual-Track Requirement (Mandatory Evaluation)Track A (Industry & Technology): Minimum 3 years of hands-on or leadership experience in industrial automation, AI deployment, robotics, IIoT, or building automation within a live plant, OEM, facilities operator, or technology consultancy.Track B (Academic & Governance): Proven leadership of an academic department/program with direct accountability for P&L, budget, faculty management, AICTE approvals, and NBA/NAAC accreditation cycles.

Key Performance Expectations

• Accreditation & Compliance: Ensure zero adverse findings in AICTE, university, NBA, and NAAC audits; maintain 1:2:6 cadre ratio.
• Lab Utilization: Achieve 70% utilization of the state-of-the-art SMC AIT-400 AI Machine Lab and allied facilities.
• Industry & Placements: Drive high-value placement outcomes and industry internships via our global hiring network (Schneider Electric, SMC, FANUC, JLL, CBRE, Qualcomm, Blue Star, etc.).
• Research & Revenue: Supervise doctoral research, submit funded proposals (DST, SERB, AICTE, MeitY), and drive corporate training revenue.

Interested candidates who meet both the AICTE Professor norms and the dual-track industry/academic criteria may send their updated CV, list of publications, and proof of academic/industry leadership to hidden_email