AI Solutions Architect

About Us

Jeen empowers enterprises with generative AI through advanced AI agents, automations, voice analytics, and knowledge-based insights across any cloud or on-premise environment. Trusted by industry leaders shaping tomorrow's technological landscape.

About the Role

Jeen is looking for a hands-on Enterprise AI Solutions Architect to own the technical design and delivery of end-to-end AI solutions for complex Enterprise customers. You will work directly with customers to translate business, data, security, and technical requirements into scalable, production-ready AI architectures.

Key Responsibilities

• Lead technical discovery and translate business requirements into end-to-end AI solution architectures.

• Design solution components, data flows, integrations, model interactions, and operational workflows.

• Define the right AI approach, including RAG, agentic workflows, orchestration, model selection, evaluation, and fine-tuning, balancing quality, security, scalability, latency, and cost.

• Design integrations with customer systems, APIs, data sources, identity services, and IT infrastructure.

• Define evaluation, guardrails, observability, monitoring, governance, and security requirements.

• Lead architecture workshops and technical discussions with customers and internal teams.

• Provide technical leadership to Development and Delivery teams throughout implementation, troubleshooting, and production readiness.

• Build prototypes and POCs, troubleshoot technical issues, and validate architectural decisions through code when needed.

Requirements

• 5+ years of experience in Software Engineering, Solutions Architecture, AI Engineering, or a related hands-on technical role.

• Proven experience designing and delivering end-to-end Enterprise software or AI solutions.

• Hands-on experience with LLM-based systems, including RAG, agentic workflows, search/knowledge solutions, or similar AI applications.

• Strong understanding of APIs, Enterprise integrations, data flows, databases, and distributed systems.

• Strong understanding of Enterprise environments, including security, identity, networking, and cloud/on-prem/hybrid architectures.

• Experience leading technical discovery and architecture discussions with Enterprise customers.

• Excellent communication skills in English.

Preferred Qualifications

• Experience taking Generative AI solutions from POC to production.

• Experience with LLM evaluation, observability, and guardrails.

• Experience with Kubernetes, microservices, vector databases, search technologies, or data pipelines.

• Experience designing solutions for regulated or security-sensitive environments.