Role Summary: We are seeking an experienced
AI Platform Engineer to design and implement enterprise AI agent frameworks and orchestration platforms. The ideal candidate will have expertise in Generative AI, Agentic AI, LLM integrations, and AI governance, with the ability to build scalable, secure, and compliant AI solutions.
Key Responsibilities- Design and implement enterprise AI agent frameworks and orchestration platforms.
- Develop integrations with LLMs, enterprise AI services, APIs, and backend systems.
- Build tool invocation frameworks that enable secure interaction between AI agents and business applications.
- Implement prompt safety controls, policy enforcement, guardrails, and responsible AI practices.
- Develop telemetry and monitoring capabilities for AI usage, performance, and governance.
- Collaborate with product and security teams to deliver scalable and compliant Generative AI solutions.
Required Skills- 5+ years of experience designing and implementing enterprise AI agent frameworks and orchestration platforms.
- Strong experience with Generative AI and Agentic AI frameworks.
- Hands-on experience with LangChain, LangGraph, Semantic Kernel, and Model Context Protocol (MCP).
- Proficiency in Python, Java, and API integrations.
- Experience with prompt engineering and AI governance practices.
- Strong understanding of LLM integration and model orchestration.
- Experience integrating enterprise AI services, APIs, and backend systems.
- Knowledge of AI safety, policy enforcement, and responsible AI principles.
- Experience building monitoring, telemetry, and governance solutions for AI platforms.
- Strong collaboration skills with the ability to work effectively across product, engineering, and security teams.
The base compensation range for this role in the posted location is: 80,000 to 96,655
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.