Sr. AI Security Engineer

Sr. AI Security Engineer

Location: Plano, TX (Onsite from Day 1)

Long Term

Overview:

Drive the development and optimization of advanced AI architectures (cloud/hybrid), software, tools, processes, and workflows to predict, detect, and prevent AI specific threats. This hands-on technical leadership role combines deep research in AI security with close collaboration across teams to integrate AI capabilities into robust cybersecurity architectures.

Key Responsibilities:

Design, develop, and optimize AI/AI Security specific architectures, software, threat models, tools, solutions for threat identification, prediction, and prevention.

Implement and secure agentic and MCP architectures, neural networks, and AI techniques to enhance threat detection, monitoring, and risk scoring.

Integrate AI security tools and technologies across AI architectures, collaborating with data scientists, security engineers, and other stakeholders.

Analyze AI security risk scoring and incident data to refine and improve AI architectures and methodologies.

Provide technical leadership and mentorship to junior engineers in Agentic and MCP architectures

Ensure alignment and compliance with industry standards (NIST AI-RMF, ISO42001, OWASP Top 10 for LLM), and advanced security architectures (Agentic, MCP).

Stay abreast of emerging trends and advancements in AI and cybersecurity.

Required Qualifications:

A bachelor's or master's degree in computer science, Engineering, or a closely related discipline is required.

5+ years of experience in AI and cloud-focused architectures and cybersecurity in an enterprise environment.

8+ years deep hands-on low/high level software development expertise in Python, R, Java, C or similar programming languages.

Deep hands-on understanding of agentic frameworks (LangGraph, LangChain, Crew, OpenClaw etc.,), and AI orchestration.

Hands-on experience with AI security technologies (intrusion detection, anomaly detection, threat intelligence).

5+ years' experience in Azure or AWS cloud native services, architectures, and tools.

Expertise in enterprise architecture (including Cloud-native and AI architecture patterns).

Advanced knowledge of security and governance frameworks (NIST AI-RMF, ISO42001, OWASP Top 10 for LLM).

Strong communication and collaboration skills.

Preferred Qualifications:

Experience with agentic and model context protocols (MCP) architectures.

Demonstrated ability to lead cross-functional technical teams.

Track record of published research or thought leadership in AI security.

The pay range for this role is $120,000- $140,000 per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience and location of the candidate.

Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at ADA_Accomodations@TechMahindra.com.