Role SummaryWe are seeking a hands-on GenAI Delivery Architect to design, build, and lead the delivery of enterprise-grade AI Agent solutions. The ideal candidate should have strong experience in Agentic AI, multi-agent architectures, agent orchestration, AI plugins, skills, hooks, MCP servers, tools, enterprise integrations, AI-assisted software development, and cloud-native application delivery.
The candidate should be able to rapidly prototype client requirements, validate business use cases through working proofs of concept, and translate business needs into scalable, production-ready AI solutions.
Key Responsibilities- Design and implement multi-agent architectures for enterprise use cases.
- Build AI solutions using frameworks such as LangGraph, Semantic Kernel, CrewAI, AutoGen, OpenAI Agents SDK, Claude Agent SDK, Google ADK, or similar.
- Define agent orchestration patterns, memory management, planning, routing, and tool-calling strategies.
- Design and develop MCP servers, tools, plugins, skills, hooks, and custom integrations.
- Create and maintain Markdown-based specifications, agent instructions, workflows, and prompts to guide AI agents and accelerate solution development.
- Build Agent Harnesses for testing, evaluation, observability, and governance of AI agents.
- Design, develop, and deploy AI solutions on hyperscaler platforms such as Azure, AWS, and Google Cloud Platform (GCP), leveraging their AI, data, and cloud-native services.
- Lead the design and implementation of AI solutions with strong emphasis on Python, along with TypeScript, and some familiarity with Java and C#.
- Integrate agents with enterprise systems such as Jira, ServiceNow, Teams, Salesforce, SAP, databases, APIs, and knowledge repositories.
- Lead architecture decisions around RAG, vector databases, memory systems, and knowledge graphs
- Establish AI evaluation frameworks, guardrails, monitoring, and production deployment patterns.
- Collaborate with business stakeholders and engineering teams to translate business requirements into scalable AI solutions.
- Drive end-to-end delivery of GenAI and Agentic AI solutions from concept to production deployment.
Required Skills- Experience designing and implementing GenAI / LLM-based solutions, including agent-based architectures
- Strong programming skills in Python; familiarity with TypeScript, Java, or C# is an asset
- Hands-on experience with cloud platforms (Azure preferred, AWS or GCP acceptable)
- Understanding of modern architecture patterns, including APIs, microservices, and system integrations
- Working knowledge of RAG, vector databases, or AI data handling concepts
- Experience delivering end-to-end solutions from concept to production
- Familiarity with enterprise environments and integration landscapes
- Ability to balance innovation with performance, reliability, and governance
Work EnvironmentPrimary Location: Mississauga, ON, with an expectation to work from client's office on a need basis.
The base compensation range for this role in the posted location is: $76,336 - $179,088.
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.
