Adobe Experience Platform (AEP) / Customer Journey Analytics (CJA) Consultant

CTO / Chief Scientist – AI Security

Location: Bengaluru, India Function: AI Security - Technology & Innovation Centre (TIC) Employment Type: Full-time Role Purpose The CTO / Chief Scientist – AI Security will establish and lead AI Security Technical Innovation Centre (TIC) in India. This role serves as the highest technical and scientific authority for AI Security, responsible for defining research direction, technical architecture, and long-term strategy across secure AI development and AI supply-chain assurance. The role combines deep AI/ML research leadership with platform-level system design and enterprise deployment accountability.

Key Responsibilities

• Define and own the AI Security technology and research roadmap aligned to

multi-year TIC objectives.

• Lead and govern advanced AI security research spanning model inspection,

unlearning, provenance, and compliance assurance.

• Act as Chief Architect for AI Security platforms including scanners, verification

pipelines, lineage systems, and policy engines.

• Drive translation of research outcomes into proofs of concept, benchmarked

solutions, and deployable platform components.

• Establish technical standards for security claims, verification, benchmarking,

and reproducibility.

• Provide technical leadership and mentorship to research, engineering, MLOps,

and product teams.

• Ensure adherence to emerging global AI security standards, regulatory

expectations, and compliance requirements.

• Lead intellectual property generation and publication in reputed AI and security

forums.

• Represent in relevant external technical, academic, and industry engagements

related to AI security. Required Qualifications & Experience

Education:

• PhD or Master’s degree (CS, AI/ML, Crypto, Cybersecurity) from Premier

institute with strong research depth in Artificial Intelligence, Machine Learning, Computer Science, Cybersecurity, or related fields.

Experience:

• 15 to 20 years of experience in advanced AI/ML research, security engineering,

or deep-tech system architecture.

• Earlier Experience: R&D labs, Research projects, Product companies, AI

projects, Enterprise solutions ownership

• Proven experience leading principal-level technical or research initiatives and

translating research into real-world systems.

• Earlier Experience as CTO (in similar tech domain) is preferable.

Required Technical Skills

• Deep expertise in Large Language Models, foundation models, fine-tuning,

LoRA/adapters, and RAG-based architectures.

• Strong understanding of model internals including weight-space analysis,

activation behaviour, and interpretability.

• AI security and forensics experience covering model fingerprinting, backdoor

detection, model reuse/derivation analysis, and supply-chain risk.

• Hands-on knowledge of model unlearning techniques, verification methods,

privacy assurance, and side-effect control.

• Architecture experience for scalable AI security platforms, including

experimentation pipelines, MLOps, APIs, and enterprise deployment. Leadership & Personal Attributes

• Recognised technical authority with strong analytical and problem-solving skills.
• Ability to operate across research depth, architectural design, and executive-

level communication.

• Mentorship-oriented leadership style with a long-term innovation mindset.

Success Indicators

• Establishment of a world-class AI Security research and innovation capability.
• Delivery of differentiated AI security technologies progressing from research to

platform adoption.

• Strong external recognition through publications, IP creation, and industry

impact.