LocationNew York , NY
Your Role Principal Architects are expected to develop highly available, fault tolerant architectures following industry standards and best practices. They are expected to lead other architects and develop standards and best practices across the architecture landscape. This includes internal business applications, new technology initiatives, and consumer-facing systems. The successful candidate will work closely with clients (users) to complete the analysis and design of systems and follow the implementation to completion.
**RESPONSIBILITIES**• Applies extensive knowledge of theories, practices and design matters.
• Works on issues that impact program success or addresses future concepts and products. Implementation of solutions requires a longer-term view which impacts strategic goals and objectives spanning several functions.
• Exercise a wide latitude in determining objectives and approaches to critical assignments.
• Knowledge with broadcast production or video content management systems
• Knowledge of media management strategies and distribution workflows
• Lead and contributes to development of company objectives across and principles to achieve goals
• Deep understanding of AWS/Azure services and products
• Provide feasibility reviews for potential new projects, including development effort estimates
• Strong understanding of the C4 model and traditional design artifacts
• Work with Engineering and Quality Assurance to identify and address reported issues quickly and effectively
• Build and maintain scalable backend microservices using Python and FastAPI, deployed as varying serverless infrastructure.
• Develop tools, constraints (guardrails), and deterministic functions that our AI agents use to edit visual assets. Integrate models on owned infrastructure for inference and integrate third-party AI endpoints.
• Implement complex distributed workflows for high-volume job orchestration and dispatching (e.g. EventBridge, queues, DynamoDB streams).
• Terraform contributions to provision and mange cloud resources safely and effectively across multiple environments.
• Contribute to our modern backend orchestration or modern web frontends.
• Write robust unit and end-to-end tests to ensure the stability of both standard APIs and AI agent outputs, ensuring smooth deployments.
Required Skills and Expereince • 7+ years of professional software engineering experience with a strong grasp of the Software Development Life Cycle and version control.
• Strong proficiency in modern Python. Hands-on experience deploying and operating services in AWS, Azure, and/or GCP.
• Practical experience integrating LLMs into software applications. You must understand how to interact with inferencing endpoints, manage context windows, and parse AI-generated content.
• Applied experience with Terraform or similar IAC tools to manage cloud resources.
• A strong commitment to writing clean, maintainable, and well-tested code. Experience working in an agile environment with rigorous code-review standards.
• Expert experience, understanding and knowledge of digital and broadcast production operations and workflows
• Strong knowledge of AI industry trends and best practices
• Strong experience with the C4 model and other traditional design artifacts
• Experience working in an Agile environment
• Familiarity with continuous integration practices
• BS in CS, EE or equivalent experience required'
The base compensation range for this role in the posted location is: $120,000- $180,000
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.
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 policy and eligibility and may include:
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
