[Hiring] Agentic Architect @Capgemini

Role Description

This role focuses on bridging scientific R&D teams and engineering to design and deliver Azure‑based agentic AI solutions that make complex Food & Beverage formulation data easier to access, understand, and use for decision‑making. You’ll lead discovery, shape requirements and solution design, and help evolve AI capabilities from basic data‑retrieval chatbots to advanced reasoning and decision‑support systems with real business impact.

• Mid to senior role combining business analysis and solution architecture.
• Focused on building an agentic AI chatbot solution on Microsoft Azure.
• Primary purpose is to enable conversational access to R&D and formulation data stored in existing relational databases.
• Deep engagement with food & beverage consumer packaged goods (CPG) R&D, formulation, and product development teams.
• Role emphasizes requirements discovery, scope expansion, and identifying new AI-enabled opportunities beyond initial use cases.
• Acts as a bridge between scientific users, business stakeholders, and technical delivery teams.

Qualifications

• Lead client discovery through interviews, workshops, and ongoing stakeholder engagement with around 10 years of experience.
• Partner with R&D, formulation, and innovation teams to understand workflows, data challenges, and decision needs.
• Elicit, analyze, and document functional and non-functional requirements, user stories, and acceptance criteria.
• Translate business and scientific needs into solution designs, architectural inputs, and delivery ready requirements.
• Lead UX/UI design, workflow modeling, and prototyping.
• Design Azure based agentic AI solutions, including conversational/chatbot interfaces and relational data retrieval.
• Collaborate with engineering on AI orchestration, data integration, security, scalability, and performance.
• Identify new AI use cases and opportunities to expand solution scope and value.
• Support roadmap evolution from basic data retrieval chatbots to advanced reasoning and decision support systems.
• Preferred skills include consulting or discovery phase experience, exposure to agentic/multi agent AI, conversational AI/NLP, regulated or scientific IT environments, and AI governance/responsible AI practices.

Requirements

• The base compensation range for this role in the posted location is: $86,900 - $203,800/year.
• Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws.
• 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.
• 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

• 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.