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The Architect is a senior leader responsible for the successful technical execution and delivery of complex client projects across diverse domains. This role acts as a strategic anchor between clients, leadership team, delivery managers, project managers, and delivery team(s). In the AI-first GCID organization, Architects are expected to embed AI-native thinking into delivery models, ensuring solutions are intelligent, scalable, and aligned with business outcomes. The ideal candidate is passionate about technology, demonstrates breadth of expertise, and advocates for solutions that deliver true client value.
Job Responsibility:
Embed AI-first mindset into delivery workflows, leveraging automation and intelligent orchestration where applicable
Lead end-to-end delivery of complex projects, ensuring solutions are scalable, robust, and aligned with client business outcomes
Drive engineering excellence through reusable components, accelerators, and scalable architecture
Oversee technical execution across multiple projects, ensuring adherence to best practices, quality standards, and compliance requirements
Collaborate with clients and internal stakeholders to define strategies, delivery plans, milestones, and risk mitigation approaches
Act as a technical point of contact for clients, translating business requirements into scalable technical solutions
Ensure delivery models are optimized for modern AI-native execution, including integration of automation and intelligent processes
Ability to step into at‑risk projects, quickly assess issues, and establish a credible path to recovery or exit
Promote high-quality architecture and ensure integrity and performance across delivery
Establish secure coding, test-driven development, observability, and performance standards as defaults
Support ongoing learning and certifications to stay current
Advance adoption of modern methodologies like Agile, DevOps, and CI/CD for scalable solutions
Cultivate technical rigor, innovation, and accountability within the team
Apply AI-driven design for user-focused solutions that support business, architecture, and delivery goals
Assess modern technologies to guide strategy
Drive innovation in delivery methods and reusable tools to boost efficiency
Promote best practices and continuous improvement across teams
Engage with clients to assess their needs and provide guidance throughout projects
Assist pre-sales teams by preparing estimates, demonstrating products, and developing proposals
Maintain strong client relationships to ensure ongoing satisfaction and deliver value
Lead cross-functional teams to encourage learning, collaboration, and technical excellence
Review work, give feedback, and support team members' growth
Ensure secure, compliant, and reliable solution delivery through secure coding, test driven‑ development, observability, design reviews, and quality gates across all engagements
Embody our culture and values
Requirements:
20+ years of experience in software/solution engineering, with at least 10–15 years as Architect and Delivery leadership roles
Proven experience in leading delivery of complex, multi-disciplinary projects
Strong understanding of delivery methodologies (Agile, Scrum, DevOps, etc.) and adopt emerging practices for faster Go To Market (GTM) using Hyper Velocity Engineering
Excellent communication, stakeholder management, problem-solving, and team leadership skills
Bachelor’s degree in computer science, Engineering, or related field (or equivalent experience)
Relevant certifications are a plus
Expertise in Enterprise Data Architecture & Modern Platforms
Expertise in Data Engineering & Large Scale Data Processing
Expertise in Database Platforms, Performance & Capacity Engineering
Expertise in AI First Data Engineering & Unify Your Data
Expertise in AI & Advanced Analytics Enablement
Expertise in Solutioning, Pre-Sales & Technical Leadership
Expertise in Frontier Consulting Skills
Passion for technology and innovation
Ability to interact confidently with senior leaders and clients
Strong decision-making skills and a consultative mindset
Flexibility to manage a fast-moving, ambiguous consulting environment
Commitment to continuous learning on emerging technologies