AI Solution Architect

Job highlights

• Practical experience delivering production-grade knowledge-grounded AI systems and agent architectures. Strong understanding of transformer-based models,including context windows,latency considerations,scalability,and cost optimization. Fluent English required. Job no
• Technologies tools . Must have. Python LLM LangChain / LangGraph Cloud Computing

Technologies tools

Must have

Python LLM LangChain/LangGraph Cloud Computing

We are looking for an experienced AI Solution Architect to bridge the gap between AI prototypes and production-ready solutions. In this role, you will work directly with clients to understand business challenges, shape AI strategies, design scalable architectures, and guide delivery teams through successful implementation. You will be responsible for designing both Generative AI and Classical AI solutions, including knowledge-grounded AI systems, agentic workflows, model orchestration, recommendation engines, and optimization platforms. The ideal candidate combines strong technical expertise with consulting skills and deep knowledge of at least one major cloud ecosystem: Azure, AWS, or GCP.

Your tasks

• Leading client discovery sessions, technical workshops, and architecture discussions
• Analyzing RFPs, RFIs, and business requirements to propose AI-driven solutions
• Designing end-to-end architectures for Generative AI and Classical AI systems
• Defining project scope, effort estimates, delivery plans, and cloud cost models
• Selecting appropriate technologies, frameworks, models, and infrastructure based on business needs
• Establishing MLOps and LLMOps practices, including CI/CD, evaluation pipelines, and monitoring processes
• Creating architecture documentation, decision records, and technical specifications
• Mentoring engineering teams and driving AI engineering best practices across projects

Requirements

• Minimum 10 years of experience in software engineering, data engineering, or machine learning domains
• At least 3 years of experience designing and leading AI/ML solutions at enterprise scale
• Deep production-level expertise with Azure, AWS, or GCP AI ecosystems
• Strong experience leading client-facing engagements, workshops, and executive presentations
• Proven ability to scope, estimate, budget, and plan AI projects
• Hands-on expertise with Python and AI frameworks such as LangChain, LangGraph, Semantic Kernel, or equivalent
• Practical experience delivering production-grade knowledge-grounded AI systems and agent architectures
• Strong understanding of transformer-based models, including context windows, latency considerations, scalability, and cost optimization
• Fluent English required

Job no. JOB-NXNPE

Sii ensures that all hiring decisions are made solely on the basis of qualifications and competence. We are committed to equal and fair treatment of all, regardless of legally protected characteristics. At Sii, we promote a diverse and inclusive work environment, in full compliance with applicable anti-discrimination laws.

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