People Prime Worldwide
Website:
people-prime.com
Job details:
About Company:
Our client is a global technology consulting and digital solutions company that enables enterprises to reimagine business models and accelerate innovation through digital technologies. Powered by more than 84,000 entrepreneurial professionals across more than 30 countries, it caters to over 700 clients with its extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes.
Job Title: AI Cybersecurity Architecture
Location:Bangalore (Global village Tech Park)
Experience: 10+ Years
Employment Type: Contract to Hire
Work Mode: Hybrid
Notice Period: Immediate Joiners Only
Job Description:
Implementing AI-enabled architectures and creating architecture Artifacts
Architecting AI, ML
Cybersecurity Architecture
We are seeking an AI Cybersecurity Architect with a primary focus on enabling teams to deliver AI-enabled technical solutions collaboratively across Business, IT, Engineering, and Data Science groups. This role is centered on co-designing scalable and secure architectures that align technology, people, and processes to achieve business outcomes. A major responsibility is advising and supporting the AI Architecture Technical Committee by evaluating solution designs, assessing risks, and enabling informed decisions on the safe and strategic use of AI across the enterprise.
Responsibilities
- Collaborative Solution Delivery
- Partner with Business, IT, Engineering, and Data Science teams to co-design secure, scalable, and AI technical solutions.
- Facilitate collaborative architecture sessions, workshops, and design sessions to guide teams toward well-informed architectural decisions.
- Translate architectural considerations into clear execution steps that empower delivery teams and accelerate solution deployment.
- Help teams navigate ambiguity by clarifying tradeoffs across technology, people, and process dimensions.
- AI Architecture Technical Committee Enablement
- Serve as a trusted advisor by preparing architectural evaluations, risk assessments, and decision frameworks for Committee review.
- Contribute to enterprise AI guardrails, patterns, and reference architectures that ensure safe and responsible AI adoption.
- Support Committee decision-making through clear communication of risks, options, and implications across stakeholders.
- Ensure Committee decisions are socialized across teams and embedded in delivery practices.
- People & Process Leadership
- Shape and improve architecture governance processes including intake, review, and lifecycle management.
- Develop templates, checklists, and reusable patterns that simplify responsible AI solution delivery.
- Mentor architects, engineers, and data scientists on design practices, governance expectations, and communication skills.
- Promote collaboration, transparency, and accountability across cross-functional teams.
- Leveraging AI to Improve Cybersecurity
- Identify opportunities where AI can enhance cybersecurity automation, anomaly detection, and threat intelligence.
- Provide guidance on safe integration of AI into security workflows, addressing risks such as data leakage and unsafe automation.
- Develop secure patterns for connecting AI systems with SIEM, SOAR, EDR, and XDR platforms.
- Qualifications
- Required Qualifications:
- 8+ years in technology/cybersecurity roles with at least 4 years in architecture.
- Experience co-developing solution designs with Business and IT partners.
- Strong facilitation and communication skills to lead cross-functional collaboration.
- Experience designing and implementing AI-enabled architectures and creating architecture artifacts.
- Understanding of AI/ML concepts and responsible AI practices.
- Knowledge of scripting languages such as Python or PowerShell, and experience with automation tools (e.g., Terraform)
- Understanding of security frameworks and standards including NIST, SOC, and ISO 27001
- Strong familiarity with AI regulations, AI security frameworks, and emerging AI assurance standards
- Experience implementing or architecting AI, ML, or automation technologies within IAM or broader cybersecurity domains
- Preferred Qualifications:
- Certifications such as CISSP, CCSP, SABSA, CRISC.
- Experience with AI governance frameworks and architecture committees.
- Background in technology strategy, architecture governance, or security research.
- Education: BS/MS preferred
Click on Apply to know more.