About Axis Max Life

Axis Max Life Insurance Limited, formerly known as Max Life Insurance Company Ltd., is a joint venture between Max Financial Services Limited (“MFSL”) and Axis Bank Limited.

Axis Max Life Insurance offers comprehensive protection and long-term savings life insurance solutions through its multi-channel distribution, including agency and third-party distribution partners. It has built its operations over two decades through a need-based sales process, a customer-centric approach to engagement and service delivery, and a well-trained human capital.

Axis Max Life has been consistently ranked among the best workplaces by the GPTW Institute, reflecting its commitment to creating a positive and empowering work setting.

#ComeAsYouAre LGBTQIA+ and PwD candidates of all ages are encouraged to apply

Job Description:

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JOB SUMMARY

The successful applicant will be responsible for evaluating and mitigating technical risks in AI and Machine Learning (ML) models and Web based AI platforms. This role anchors the organization’s AI Governance agenda ensuring AI is deployed in a secure, compliant, ethical, and auditable manner aligned to enterprise risk appetite.

Assessing the security posture of existing and proposed AI systems, platforms, and processes to protect and continually improve the confidentiality, integrity, and availability of the AMLI’s business.

KEY RESPONSIBILITIES

AI Model Governance & Risk Assessment

- Validate core technical design, architecture, and code of production-ready AI/ML models.

- Assess models for algorithmic bias, data drift, concept drift, and data lineage gaps.

- Maintain a centralized inventory of all enterprise AI assets and risk profiles.

AI Security & Vulnerability Management

- Lead AI-focused VAPT / Red Teaming:

o Prompt injection, jailbreak testing

o Model extraction and evasion attacks





o Data poisoning and adversarial testing

- Extend traditional AppSec practices (SAST/DAST) to:

o LLM pipelines

o RAG systems

o Agent workflows

- Build AI testing playbooks aligned to OWASP AI Testing standards for trustworthiness validation

MCP (Model Context Protocol) & Agentic AI Security

- Assess and mitigate risks in MCP-based architecture:
- Credential aggregation / single point of failure risks
- Tool poisoning, schema injection, and command execution risks
- Confused deputy and excessive privilege scenarios

- Define security standards for:

- AI-to-tool integrations
- Identity, authentication, and authorization models

- Ensure adherence to least privilege and secure integration practices

AI Threat Intelligence & Control Enhancement

- Track emerging threats across:
- AI supply chain and model dependencies
- Agentic AI risks and automation misuse

- Translate intelligence into:

- Detection rules (SOC/XDR)
- Preventive guardrails (prompt filtering, output validation)

MEASURES OF SUCCESS

- Compliance with internal AI security standards and regulatory requirements

- Reduction in critical AI vulnerabilities (e.g. Prompt Injection)

KEY RELATIONSHIPS (INTERNAL /EXTERNAL)

Business Functions, Third Parties and Control groups

KEY COMPETENCIES/SKILLS REQUIRED

VAPT, Configuration Reviews, Network Architecture reviews, Ethical Hacking

Experience

Duration: 3 to 5 years in Machine Learning, model validation, or AI risk.

Domain: Prior experience in BFSI, Fintech, or Insurance is highly preferred.

Certifications (Preferred): OSCP, CISSP, CAIPT (AI certification)

KEY TECHNICAL SKILLS

Languages: Python, R, SQL.

Frameworks: TensorFlow, PyTorch, MLflow.

XAI Tools: SHAP or LIME

Cloud: AWS, Azure, or Google Cloud AI governance tools.

State:

Home Office

Branch:

Gurugram HO

Department:

Enterprise Risk Management

Function:

AI Risk

Posted On:

03-Aug-2026

📌 Senior Manager - AI Risk Management (India)
🏢 AxisMaxlife
📍 India