[CMI] AI Solutions Architect

Software Mind

2d•Remote

About The Position

We are looking for an AI Solutions Architect to join our team and work on the design and delivery of advanced AI-driven solutions for our clients, with a strong focus on Generative AI. Our mission is to help organizations translate business challenges into scalable, production-ready AI architectures, leveraging cloud platforms and modern AI capabilities such as LLMs, agentic systems, and intelligent automation. This role sits at the intersection of technology and business, combining hands-on solution design with AI pre-sales activities. You will work closely with clients to shape AI strategies, define architectures, and guide implementation - ensuring solutions are both technically sound and aligned with business goals.

Requirements

5+ years of experience in IT architecture, solutions architecture, or senior engineering roles OR 2+ years of experience specifically in AI/ML architecture
Proven experience designing and delivering AI/ML or Generative AI solutions in production
Strong understanding of LLMs, prompt engineering, RAG and Agentic architectures
Hands-on experience or strong understanding of frameworks such as LangChain, LlamaIndex, or similar
Experience architecting solutions on cloud platforms (AWS, Azure, or GCP)
Strong knowledge of API design, system integration, and distributed architectures
Experience with ML/AIOps practices (deployment, monitoring, lifecycle management)
Proven ability to engage with stakeholders and translate business needs into technical solutions
Excellent communication skills in English

Nice To Haves

Experience in IT pre-sales, consulting, or client-facing solution design roles
Familiarity with agent-based systems and AI orchestration frameworks
Experience with fine-tuning, evaluation, and optimization of LLMs
Knowledge of Docker, Kubernetes, and scalable deployment patterns
Understanding of security, compliance, and responsible AI principles
Strong presentation and storytelling skills for both technical and non-technical audiences

Responsibilities

Design end-to-end architecture for AI-driven solutions with a focus on Generative AI (LLMs, RAG, agents, automation)
Engage in AI pre-sales activities such as:
- Translate business requirements into AI solution proposals and architectures
- Prepare architecture diagrams
- Conduct client workshops, discovery sessions, and technical presentations
Design scalable, secure, and cost-efficient AI architectures on cloud platforms (AWS, Azure, GCP)
Define and oversee implementation of AI solutions such as RAG pipelines, vector search, intelligent systems, agents, and LLM integrations
Be prepared to provide technical leadership and guidance to engineering teams during delivery
Follow best practices for AI system design, governance, and responsible AI