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Location
Dallas, TX, Chicago, IL, Atlanta, GA, New York, NY, Jersey City, NJ, Nashville, TN
About The Job Your're Considering The AI-First Architect is responsible for designing, governing, and evolving enterprise systems where artificial intelligence is a foundational design element.
This role ensures that AI, automation, and human decision-making are intentionally integrated across new development, existing application modernization, and production operations, while maintaining security, reliability, and regulatory compliance. The AI-First Architect operates as a design authority and system governor, shaping how autonomy is introduced over time and ensuring that AI-driven systems remain explainable, auditable, and aligned to business intent.
Your role
• Define AI-first reference architectures for new development, modernization, and AI-augmented operations
• Embed AI capabilities into architecture patterns including event-driven designs and autonomous remediation
• Ensure architectures support human-on-the-loop operation
• Maintain clear boundaries between autonomous actions, human approvals, and executive governance
• Establish AI guardrails, confidence thresholds, and escalation models
• Define human-in-the-loop vs human-on-the-loop decision frameworks
• Own architectural input into model lifecycle governance, bias mitigation, and drift monitoring
• Partner with Security, Risk, and Compliance to ensure full auditability and control alignment
• Embed AI into CI/CD pipelines and quality gates
• Translate operational learning into engineering standards
• Guide teams on automation-versus-human design decisions
• Review and approve architecture changes driven by incidents and modernization
• Identify modernization and retirement candidates using AI insights
• Define modernization patterns that reduce long-term operational cost
• Ensure modernization reduces incident inflow and improves resilience
• Align architectural decisions with measurable OpEx and stability outcomes
• Serve as architectural authority across engineering, operations, security, and data teams
• Participate in design reviews, autonomy promotion decisions, and major incident governance
• Communicate AI risk and value clearly to senior stakeholders
Your Skills And Experiences
• 10+ years in enterprise or solution architecture roles
• Experience designing distributed, cloud-native, API-led systems
• Strong understanding of AI/ML concepts, AIOps, and observability platforms
• Experience operating in regulated or security-first environments
Preferred Qualifications
• Experience in telecom or large-scale infrastructure environments
• Background in SRE, platform engineering, or modernization programs
• Familiarity with outcome-based delivery models
• Prior experience as a design authority or architecture review board member
The base compensation range for this role in the posted location is: $82,082 - $193,440
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Benefits
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.
In the U.S. and Canada, available benefits are determined by local pol