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Job description
Job Purpose and Impact
The Senior AI Security Consultant will help establish and strengthen the security foundation for the Cargill's modern business applications by securing and operating a scalable, enterprise AI Platform. In this role, you will apply deep expertise in cybersecurity, cloud platforms, and AI engineering to protect AI capabilities used by data and application teams to deliver measurable business value.
You will play a key role in enabling safe adoption of Generative AI, Large Language Models (LLMs), and Agentic AI systems, while ensuring security, resilience, and compliance are built in by design. The role also includes coaching and mentoring junior engineers, driving automation‑first security practices, and delivering highly scalable AI security solutions across the enterprise
Key Accountabilities
Develop and maintain security and resilience for enterprise‑grade AI and Generative AI services, supporting business‑critical use cases at scale.
Secure Large Language Models (LLMs), Agentic AI systems, and multi‑agent workflows, including inference services, fine‑tuning pipelines, and runtime execution environments.
Implement security controls for Model Context Protocol (MCP) and similar agent integration patterns, protecting tool invocation, context exchange, agent‑to‑agent communication, and external data access.
Develop and manage AI platform security capabilities across public cloud AI services, self‑hosted models, and third‑party AI providers.
Build automated security guardrails using Python and policy‑as‑code to enforce access control, data protection, model usage limits, and runtime monitoring.
Partner closely with AI Platform, Cloud Platform, DevOps, Software Engineering, and Compliance teams to embed security into the AI development lifecycle (AI‑SDLC).
Perform threat modeling and risk assessments for AI architectures, including RAG pipelines, vector databases, agent frameworks, and model supply chains.
Support AI‑related incident response, including investigation, containment, remediation, and lessons learned for security incidents involving AI systems or agents.
Contribute to enterprise AI security standards, reference architectures, and best practices.
Act as a senior technical voice, mentoring junior engineers and influencing stakeholders across engineering and leadership teams.
Qualifications
Bachelor's or Master's degree in Computer Science, Cybersecurity, Artificial Intelligence / Machine Learning, or a related field.
6+ years of experience in cybersecurity engineering, with demonstrated ownership of complex, enterprise-scale systems.
Proven experience addressing the unique security challenges of Large Language Models (LLMs), Generative AI, or Agentic AI systems, including model misuse, prompt injection, hallucination risk, and data governance.
Strong understanding of cloud security concepts across AWS, Azure, and/or GCP, including IAM, networking, encryption, logging, and monitoring.
Hands-on experience with Python and security automation for scalable enforcement of AI security controls.
Experience securing containerized and distributed systems, including Kubernetes and service meshes.
Familiarity with AI platform components such as model registries, vector databases, RAG pipelines, fine-tuning workflows, and inference gateways
We are a family company providing food, ingredients, agricultural solutions and industrial products that are vital for living. We connect farmers with markets so they can prosper. We connect customers with ingredients so they can make meals people love. And we connect families with daily essentials - from eggs to edible oils, salt to skincare, feed to alternative fuel.
Today, the need to make our food system more sustainable and resilient is urgent. Sitting at the heart of the global supply chain, we have a unique ability, and responsibility, to help. Through innovations, strategic partnerships, and 159 years of experience, we help businesses grow, and communities and people around the world flourish — today, and for generations to come.
Most IT Jobs posts in Bangalore ask for 3–6 years of experience (41% of 3118 that say).
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From live job posts on CoreHRx, updated 2 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
Questions about this job
What is the salary for this Senior Consultant, Info Security, App, Data, Cloud Security - AI job?
The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹14L – ₹25L a year (typical for IT Jobs in Bangalore, 286 posts).
How much experience does this job need?
The post asks for 6 Yrs experience.
Where is this job based?
In Bangalore (on-site).
What kind of job is this?
It is a full time job.
How do I apply?
You apply on Cargill's website. CoreHRx takes you there after you sign in.
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Senior Consultant, Info Security, App, Data, Cloud Security - AI
Bangalore
1
Full time
On-site
6+ years
₹14L – ₹25L a year (estimate, typical for IT Jobs in Bangalore, 286 posts)