Enterprise Architect (GenAI, LLMs, AI/ML, Cloud)

About the Role:

We are seeking a seasoned and forward-thinking Enterprise Architect to join our dynamic services organization. This role is pivotal in shaping enterprise architecture across the services lifecycle-from presales and solutioning to delivery and transformation. The ideal candidate will possess deep expertise in cloud-native platforms, enterprise systems, and GenAI-led innovation, and will provide architectural leadership across complex engagements.

Key Responsibilities:

Enterprise Architecture Leadership

• Contribute to the development and execution of enterprise architecture strategy aligned with business and technology goals.
• Collaborate with the Chief Architect and other senior leaders to ensure architectural consistency and governance across programs.
• Promote the adoption of modern, scalable, and secure cloud-native and enterprise-grade solutions.

Presales & Solutioning Support

• Partner with presales and sales teams to define solution architectures during RFP and proposal phases.
• Translate client requirements into high-level architecture blueprints and technical value propositions.
• Support client presentations and articulate architectural vision to technical and business stakeholders.

Delivery Enablement

• Provide architectural guidance and oversight throughout the delivery lifecycle.
• Ensure solutions meet enterprise standards for scalability, performance, and security.
• Collaborate with delivery teams, mentoring solution architects and technical leads.

Innovation & GenAI Integration

• Support the integration of Generative AI technologies into service offerings and client solutions.
• Work with innovation teams to define GenAI use cases, reference architectures, and best practices.
• Contribute to internal knowledge sharing and thought leadership in emerging technologies.

Required Qualifications:

• 20+ years of experience in enterprise architecture, with a strong background in services, consulting, or system integration.
• Proven expertise in cloud-native platforms (e.g., AWS, Azure, GCP), microservices, APIs, and DevSecOps.
• Solid understanding of enterprise integration, data architecture, and security frameworks.
• Exposure to GenAI technologies, LLMs, and AI/ML platforms.
• Strong communication and stakeholder engagement skills.
• TOGAF, Zachman, or similar EA certification preferred.

Travel Requirement:

• This role may require travel, both domestic and international, based on client engagements, workshops, and strategic initiatives.

Preferred Attributes:

• Strategic mindset with a pragmatic, hands-on approach.
• Ability to influence and collaborate across cross-functional and geographically distributed teams.
• Passion for innovation, continuous learning, and technology leadership.
• Experience working in global delivery models and multicultural environments.