Agentic Architect

Capgemini • Atlanta, GA

6h • Remote

About The Position

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.

Requirements

• Around 10 years of experience in client discovery, stakeholder engagement, and solution architecture.
• Ability to lead client discovery through interviews, workshops, and ongoing stakeholder engagement.
• Ability to partner with R&D, formulation, and innovation teams to understand workflows, data challenges, and decision needs.
• Ability to elicit, analyze, and document functional and non-functional requirements, user stories, and acceptance criteria.
• Ability to translate business and scientific needs into solution designs, architectural inputs, and delivery ready requirements.
• Ability to lead UX/UI design, workflow modeling, and prototyping.
• Ability to design Azure based agentic AI solutions, including conversational/chatbot interfaces and relational data retrieval.
• Ability to collaborate with engineering on AI orchestration, data integration, security, scalability, and performance.
• Ability to identify new AI use cases and opportunities to expand solution scope and value.
• Ability to support roadmap evolution from basic data retrieval chatbots to advanced reasoning and decision support systems.

Nice To Haves

• Consulting or discovery phase experience
• Exposure to agentic/multi agent AI
• Conversational AI/NLP
• Regulated or scientific IT environments
• AI governance/responsible AI practices

Responsibilities

• Combine business analysis and solution architecture in a mid to senior role.
• Build an agentic AI chatbot solution on Microsoft Azure.
• Enable conversational access to R&D and formulation data stored in existing relational databases.
• Engage deeply with food & beverage consumer packaged goods (CPG) R&D, formulation, and product development teams.
• Emphasize requirements discovery, scope expansion, and identifying new AI-enabled opportunities beyond initial use cases.
• Act as a bridge between scientific users, business stakeholders, and technical delivery teams.
• Lead client discovery through interviews, workshops, and ongoing stakeholder engagement.
• 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.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees