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data engineering · healthcare claims auditing

Senior Manager - AI Threat Modelling

New York · Delhi NCR · Chennai · HybridPosted 3 months ago
SecuritySenior
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Job Info

  • Job Identification13105
  • Posting Date04/21/2026, 07:58 AM
  • Job RoleRisk and Compliance-Cyber Security
  • Experience (In Years)6-9
  • Job LocationNCR, Pune,

Job Description

  • Strong ability to apply threat modeling methodologies to complex AI and data‑driven systems
  • Deep understanding of Agentic/AI/ML and GenAI architectures, including LLMs, RAG pipelines, embeddings, vector databases, and orchestration layers
  • Ability to clearly articulate AI security risks and mitigations to both technical teams and client stakeholders
  • Proven experience operating in multi‑industry, client‑delivery environments

Responsibilities

  • Lead AI threat modeling initiatives across enterprise and client‑facing Agentic and AI solutions, including traditional ML, GenAI, LLMs, and agentic AI systems.
  • Identify and assess threats across the AI stack—data pipelines, training processes, model artifacts, inference layers, APIs, integrations, and infrastructure.
  • Analyze risks such as data poisoning, model theft, prompt injection, inference attacks, hallucination exploitation, supply‑chain compromise, and misuse/abuse scenarios.
  • Develop and maintain AI‑specific threat models, abuse cases, and attack scenarios tailored to different client industries and deployment models.
  • Embed threat modeling into the AI solution lifecycle, from design and build through deployment, scaling, and ongoing monitoring.
  • Partner with engineering, data science, cloud, and platform teams to define security requirements, control recommendations, and architectural guardrails.
  • Support client engagements, including security reviews, architecture assessments, and risk discussions related to AI solutions.
  • Contribute to secure AI reference architectures, standards, and reusable patterns for enterprise and client delivery teams.
  • Support AI security incident analysis, lessons‑learned exercises, and control improvements where applicable.
  • Stay current on emerging AI threat vectors, adversarial techniques, and industry research, translating insights into practical guidance for delivery teams and clients.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Cyber Security, AI/ML, Data Science, or related field

  • 8+ years of overall experience in cyber security, secure architecture, or threat modeling roles with minimum 2 years’ experience in AI specific threat modelling

  • Hands‑on experience securing cloud‑based AI solutions (Azure, AWS, GCP, or equivalent)

  • Strong understanding of AI security, adversarial ML, data protection, and privacy‑by‑design principles

  • Familiarity with global frameworks and standards such as NIST AI RMF, NIST CSF, ISO/IEC security standards, and emerging AI regulations

  • Experience working with clients across highly regulated industries such as Insurance, Banking, Healthcare preferred

Required Skills

  • Attention To Consistency
  • Cloud Security Audits
  • Cloud Security Best Practices
  • Data Mining
  • Financial Documentation
  • Internal Communications
  • Interpersonal Relationship Building
  • Leadership Capabilities
  • Microsoft Excel
  • Microsoft PowerPoint

About Us

EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com.

EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers.

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