AI Solution Architect

• Solution Architecture: Design and implement performant, resilient, and scalable applications following microservice architecture for both of Cloud and on-premise deployment
• Technical Leadership: Guide the team on architectural and technical decisions, ensuring adherence to best practices and accepted technical standards.
• Cloud & Infrastructure: Architect cloud-native solutions on Azure and/or AWS using containers (Docker), orchestration (Kubernetes), and infrastructure-as-code (Terraform, Ansible).
• On-Premises deployment: Architect solution should be deployed in both of cloud and on-premise with same package
• Documentation: Produce detailed architecture diagrams and documentation that accurately capture the current state of applications and new feature implementations.
• Data Architecture: Guide data modeling and database design decisions across relational and NoSQL systems (PostgreSQL, MongoDB, SQL Server).
• AI & Agentic Enablement: Evaluate and help integrate AI/ML and agentic AI patterns (LLMs, RAG, multi-agent frameworks, knowledge graph) into enterprise solution architectures where they add value.
• Cross-Functional Influence: Partner with product management, Corporate Architecture, Platform, sales, customer, and engineering teams to align technical solutions with business needs.
• Hands-On Delivery: Actively contribute to development, maintaining high code quality and testing your own work before handoff to QA.
• Continuous Learning: Maintain up-to-date knowledge of existing and emerging technologies relevant to the role and communicate risks and issues clearly and in a timely manner.
• The Technology Stack
• Architecture: Microservices, Enterprise Architecture, SaaS design patterns.
• AI/ML: LLMs, agentic AI frameworks (LangChain, AutoGen, CrewAI), prompt engineering, retrieval-augmented generation (RAG), vector databases, DeepAgent, Knowledge graph
• Data: PostgreSQL, data platforms/pipelines (e.g., Databricks, Airflow, Delta Lake), OSIPI, PHD
• Cloud & Infrastructure: Azure, AWS, Docker, Kubernetes, Terraform, Ansible.
• DevOps: CI/CD build pipelines, GitLab Runner (or equivalent).
• Languages: Python, Node.js, Java
• UI: React/Angular (or comparable frontend frameworks), Model Federation
• Desired Profile
• The Systems Thinker: You see the whole picture — from data layer to infrastructure to user experience — and design architectures that hold up under real-world scale and complexity.
• The Pragmatic Builder: You view architecture as a hands-on discipline. You translate designs into working, well-tested code rather than diagrams alone.
• The Trusted Advisor: You are comfortable influencing cross-functional stakeholders — product, sales, customer, and engineering — and communicate technical trade-offs clearly.
• The Emerging-Tech Evaluator: You stay current on cloud-native/on-premise and AI/agentic patterns and know when — and when not — to apply them to a given problem.
• BS in Computer Science or a related STEM field.

None flagged.