AI Solutions Architect

AI Solutions Architect

About the Role

We’re looking for an AI Solutions Architect

If you enjoy building end-to-end AI systems, influencing strategy, and working directly with stakeholders, this role is for you.

What You’ll Do

• Design end-to-end AI/ML architectures for enterprise use cases
• Translate business requirements into technical plans, prototypes, and scalable systems
• Work closely with engineering, analytics, and product teams to deliver AI-powered features
• Lead solution design for LLMs, RAG systems, predictive models, and automation workflows
• Evaluate tools, frameworks, and cloud services (AWS/Azure/GCP) for best-fit design
• Create documentation, solution blueprints, and best practices
• Support deployment, optimization, and monitoring of production AI systems
• Collaborate with clients/stakeholders to define scope, roadmap & KPIs

What You Bring

• 5–8+ years of experience in AI/ML, data engineering, or solution architecture
• Strong understanding of LLMs, vector databases, transformers, and MLOps
• Hands-on experience with Python & ML frameworks (TensorFlow, PyTorch, HuggingFace)
• Experience architecting cloud-native AI systems (AWS, Azure, or GCP)
• Ability to break down complex problems into structured, scalable technical solutions
• Strong communication and stakeholder management skills
  

• Experience with LangChain / LlamaIndex
• Designing RAG-based enterprise chatbots or AI agents
• Experience with DevOps tools (Docker, Kubernetes, MLflow)
• Background in data analytics, BI, or real-time data platforms

• Work on impactful AI innovations shaping the future of analytics
• Freedom to explore new tech, frameworks, and architectures
• Collaborative and fast-moving product environment
• Opportunity to influence AI strategy across the organization