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Salary
$32k – $76k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Architect · 15+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Accenture is a professional services company that began as the consulting arm of the accounting firm Arthur Andersen, separated as Andersen Consulting in 1989 and took its present name in 2001. It is one of the largest technology services organisations in the world, employing well over seven hundred thousand people and running strategy, consulting, technology, operations and industry work for most of the Fortune Global 500. Incorporated in Dublin and built on a delivery network concentrated in India and the Philippines, it has reoriented around cloud migration, cybersecurity and generative AI, which it now books as a distinct multi-billion dollar revenue line.
Project Role : Security Architect

Project Role Description : Define the cloud security framework and architecture, ensuring it meets the business requirements and performance goals. Document the implementation of the cloud security controls and transition to cloud security-managed operations.

Must have skills : Application Security Architecture and Design, Application Programming Interface (API) Security, API Testing

Good to have skills : NA

Minimum 15 year(s) of experience is required

Educational Qualification : 15 years full time education

Summary:

We are seeking an experienced Technical Lead - Security, Governance & Policy to lead team, the team responsible for building and maintaining the security, governance, and compliance foundation of our enterprise AI platform. This role is critical to ensuring that AI agents, enterprise data, and platform services operate securely, comply with organizational and regulatory requirements, and adhere to enterprise security standards.

As the Technical Lead, you will define and own the platform's security architecture, including identity and access management, authentication and authorization, secrets management, policy enforcement, audit logging, and data governance. You will work closely with engineering teams, enterprise architects, the CISO organization, risk and compliance teams, and business stakeholders to build a secure, scalable, and trusted AI platform.

Roles & Responsibilities:

- Lead the architecture, design, and implementation of the platform's end-to-end security framework, ensuring enterprise-grade security across AI agents, services, and infrastructure.

- Design and own the enterprise identity and access management model, including authentication, authorization, role-based access control (RBAC), attribute-based access control (ABAC), and least-privilege access principles.

- Develop secure mechanisms for secrets management, encryption, key management, certificate lifecycle management, and secure credential handling.

- Define and implement secure network architectures, including network segmentation, isolation, zero-trust principles, and secure communication between platform components.

- Design and own the platform's centralized audit logging infrastructure to provide comprehensive traceability, monitoring, compliance reporting, and forensic capabilities.

- Build and maintain a scalable Policy-as-Code framework to automate governance, security controls, compliance validation, and policy enforcement across the platform.

- Define and implement enterprise data classification, data protection, and information governance models to ensure sensitive data is handled appropriately.

- Conduct architecture and security reviews for Tool Registry integrations and other platform services to identify and mitigate security risks before deployment.

- Collaborate closely with the CISO organization, Risk, Compliance, Legal, Privacy, and Enterprise Security teams to ensure adherence to corporate security standards and regulatory requirements.

- Lead and mentor Platform Security Engineers, Governance Engineers, and Compliance Engineers while promoting security best practices across engineering teams.

- Drive threat modeling, vulnerability assessments, security testing, incident response planning, and continuous security improvements across the platform.

- Establish security governance processes, technical standards, and operational procedures that support scalable and secure enterprise AI adoption.

Professional & Technical Skills:

- 12-15 years of experience in software engineering, platform engineering, or cybersecurity, with extensive experience designing secure enterprise platforms or infrastructure products.

- Strong expertise in enterprise security architecture, identity and access management (IAM), authentication, authorization, and Zero Trust security principles.

- Hands-on experience implementing authentication and authorization frameworks such as OAuth 2.0, OpenID Connect (OIDC), SAML, JWT, RBAC, and ABAC.

- Deep understanding of secrets management, encryption technologies, key management systems (KMS), certificate management, and secure credential lifecycle management.

- Experience building enterprise audit logging, monitoring, governance, compliance, and policy enforcement frameworks.

- Strong knowledge of Policy-as-Code technologies such as Open Policy Agent (OPA), HashiCorp Sentinel, or similar governance frameworks.

- Experience collaborating with CISO organizations, security architects, internal audit, compliance, privacy, and risk management teams.

- Strong understanding of enterprise security standards and regulatory frameworks such as ISO 27001, SOC 2, NIST, GDPR, PCI DSS, or similar compliance requirements.

- Experience securing cloud-native platforms and distributed systems across Azure, AWS, or Google Cloud Platform.

- Familiarity with DevSecOps practices, infrastructure security, container security, Kubernetes security, vulnerability management, and secure software development lifecycle (SSDLC).

- Proven experience leading technical teams, mentoring engineers, and driving security initiatives across multiple engineering organizations.

- Excellent analytical, communication, stakeholder management, and problem-solving skills with the ability to balance security, usability, and business objectives.

Additional Information:

- Experience 12-15 years

- Role Technical Lead - Security, Governance & Policy (Pod 6)

- Reporting To Engineering Manager - Data & Integration

- Location Bangalore (Flexible)

- Experience with AI platforms, Agentic AI, Large Language Models (LLMs), Model Context Protocol (MCP), AI governance, or secure AI platform development will be an added advantage.

- Relevant certifications such as CISSP, CCSP, CISM, Azure Security Engineer, AWS Security Specialty, or Certified Kubernetes Security Specialist (CKS) are preferred.

- Candidates with experience building enterprise security platforms, governance frameworks, or large-scale cloud-native security architectures will be highly preferred.15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, militaryveteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicablelaw. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

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