Agentic AI Architect

We are looking for a highly experienced Agentic AI Architect to lead the design and implementation of enterprise-scale agentic AI solutions. This role will be responsible for defining architecture, guiding development teams, and ensuring scalable, secure, and high-performing AI systems that leverage LLMs, multi-agent frameworks, and enterprise integrations., Define end-to-end architecture for agentic AI solutions, including multi-agent systems, orchestration layers, and integrations Design and implement scalable agent frameworks using technologies such as LangChain, Semantic Kernel, AutoGen, CrewAI, etc. Lead development of LLM-driven systems (Azure OpenAI, OpenAI, Anthropic, etc.) with robust prompting strategies Architect RAG pipelines, memory systems, and tool integration layers Establish best practices for AI governance, security, and Responsible AI Design integration strategies with enterprise systems (CRM, ERP, APIs, data platforms) Provide technical leadership, mentorship, and code quality oversight to development teams Collaborate with business stakeholders to translate requirements into technical solutions Ensure performance, scalability, reliability, and cost optimization of AI systems Drive innovation by evaluating emerging AI technologies and frameworks

The ideal candidate combines deep technical expertise in AI/ML with strong architectural design skills and experience delivering complex, production-grade AI solutions., 10+ years of experience in software engineering, AI/ML, or solution architecture Strong expertise in Python and modern backend architectures Hands-on experience with LLM ecosystems and agent frameworks Proven experience designing multi-agent systems and distributed architectures Deep understanding of:

• Prompt engineering and LLM optimization
• Embeddings and vector databases (FAISS, Pinecone, Azure AI Search, etc.)
• Retrieval-Augmented Generation (RAG) Experience with cloud platforms (Azure preferred, AWS/GCP acceptable) Strong knowledge of API design, microservices, and event-driven architecture Familiarity with security, authentication (OAuth, SSO), and data governance Experience leading technical teams and driving architecture decisions

Good to Have

Experience with Model Context Protocol (MCP) or similar integration standards Exposure to enterprise AI transformation programs Knowledge of MLOps / LLMOps frameworks Experience with frontend or conversational UI frameworks Certifications (Azure AI Engineer, Solutions Architect, etc.)’

The base compensation range for this role in the posted location is: $125000/yr- $140000/Yr

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.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world., Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.