Description

AI Architect

About the Role The AI Architect designs AI reference architectures, RAG/agentic patterns, and model integration approaches for priority AI initiatives. The role works closely with business and technology stakeholders to understand business challenges, shape solution options, translate requirements into scalable AI architectures, and advise stakeholders on technical trade-offs, feasibility, risk, cost and business value. The Architect acts as a trusted technology advisor while ensuring architecture decisions are secure, scalable and production-ready.

Key Responsibilities

- Partner with business and technology stakeholders to understand business problems, strategic objectives and AI opportunities and translate them into solution requirements.
- Lead solution discovery and architecture workshops to evaluate alternative approaches and recommend appropriate AI solutions.
- Design end-to-end AI architectures covering RAG pipelines, agent orchestration, model integration and enterprise system connectivity.
- Evaluate AI/ML models, frameworks and cloud AI services and advise stakeholders on trade-offs across value, feasibility, cost, performance, security and scalability.
- Assess data readiness and recommend data and platform capabilities required to support proposed solutions.
- Develop architecture options, recommendations and roadmaps and communicate them clearly to technical and non-technical stakeholders.
- Conduct architecture reviews and guide engineering teams toward approved patterns and standards.




- Evaluate emerging AI technologies and develop recommendations and adoption perspectives relevant to client/business needs.
- Support Responsible AI, security and compliance assessments and advise stakeholders on appropriate mitigations.
- Build trusted relationships with business, engineering, product and architecture stakeholders and influence solution decisions through structured, evidence-based recommendations.

Key Skills & Experience

- Strong ability to translate ambiguous business problems into structured AI solution options and architecture decisions.
- Experience facilitating architecture, discovery and solution-design discussions with business and technology stakeholders.
- Ability to communicate complex architecture concepts and trade-offs in clear business language.
- Strong executive communication, stakeholder management and technical storytelling skills.

Strong technical foundation across LLMs, RAG, agentic AI, cloud AI platforms, vector databases and MLOps.

Enable Skills-Based Hiring No ECMS REQ IDAdditional Details

- ECMS REQ ID : 584129
- Project Location 1 : KRNK | Bengaluru
- Project Location 2 : (No Value)
- Project Location 3 : (No Value)
- Project Location 4 : (No Value)
- Delivery SPOC : Rajesh Kamasani
- Relevant Experience : 15+ Years




- Mandatory skills : • Strong ability to translate ambiguous business problems into structured AI solution options and architecture decisions.• Experience facilitating architecture, discovery and solution-design discussions with business and technology stakeholders.• Ability to communicate complex architecture concepts and trade-offs in clear business language.• Strong executive communication, stakeholder management and technical storytelling skills.• Strong technical foundation across LLMs, RAG, agentic AI, cloud AI platforms, vector databases and MLOps.
- Desired skills : • Strong ability to translate ambiguous business problems into structured AI solution options and architecture decisions.• Experience facilitating architecture, discovery and solution-design discussions with business and technology stakeholders.• Ability to communicate complex architecture concepts and trade-offs in transparent business language.• Strong executive communication, stakeholder management and technical storytelling skills.• Strong technical foundation across LLMs, RAG, agentic AI, cloud AI platforms, vector databases and MLOps.
- Domain (Industry) : Insurance
- BGC (Before onboarding / After onboarding) : PreOB
- Total Experience (Ex. 5-7 Years) : 15+ Years
- BGC Details : Infosys Standard Checklist
- BGC Vendor : Any NASSCOM Vendor
- Mode of Interview : Face to Face
- WFO / WFH / Hybrid : Hybrid
- Please enter shift timings : 8:30 am to 6:00 PM
- Shift Timings : General

📌 584129 | AI Architect | IC | Bengaluru (India)
🏢 Trigent Software
📍 India