AI Solutions Architect

About the Role

We're looking for an AI Solutions Architect who can turn complex business challenges into intelligent, scalable AI solutions. You'll work at the intersection of data, engineering, and product, designing architectures that power automation, analytics, and enterprise AI adoption.

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

• 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

• 58+ 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