AI Solutions Architect

AI Solutions Architect (Agentic AI) About Us Trillium Digital Services partners with organizations to modernize operations through intelligent automation, AI, cloud technologies, and digital transformation. We help our clients design and implement scalable, secure, enterprise-grade solutions that deliver measurable business value. About the Role We are seeking an experienced AI Solutions Architect to lead the design and delivery of enterprise Agentic AI solutions. This is a hands-on consulting role that combines architecture, software engineering, cloud infrastructure, and client engagement. You will work directly with clients to understand operational challenges, design AI-powered workflows, and deploy production-ready solutions using modern AI, automation, and cloud technologies. This role is ideal for someone who enjoys building practical AI systems that solve real business problems, not just prototypes. Responsibilities Architect and implement enterprise Agentic AI solutions. Design and build AI workflows using Python, FastAPI, n8n, Docker, PostgreSQL, and vector databases such as Qdrant. Deploy and manage containerized applications within Microsoft Azure. Integrate AI solutions with enterprise systems including SAP, CargoWise, APIs, warehouse management platforms, and web portals. Design secure, scalable cloud architectures using Azure Container Apps or AKS. Implement identity, secrets management, monitoring, backups, and private networking. Lead client workshops to translate business challenges into AI-enabled solutions. Design governance, auditability, and human-in-the-loop approval processes. Own solution reliability, observability, and production support during stabilization. Create reusable delivery frameworks, documentation, runbooks, and implementation standards. Mentor team members and contribute to the growth of our AI consulting practice. Required Qualifications 5+ years of experience designing and delivering enterprise software, automation, AI, or data platforms. Strong Python development experience. Experience with FastAPI or similar backend frameworks. Experience building workflow automation using n8n or comparable orchestration platforms. Hands-on experience with Docker and containerized deployments. Experience with PostgreSQL and vector databases such as Qdrant, Pinecone, Weaviate, or Milvus. Experience deploying solutions on Microsoft Azure, including Container Apps or AKS. Knowledge of Azure Entra ID, Key Vault, networking, monitoring, and cloud security best practices. Experience integrating enterprise applications through APIs and third-party platforms. Strong understanding of authentication, identity management, least-privilege security, and enterprise governance. Excellent communication and consulting skills with the ability to engage directly with business and technical stakeholders. Preferred Qualifications Experience in Supply Chain, Manufacturing, Logistics, or Distribution. Experience integrating with SAP, CargoWise, or warehouse management systems. Experience with Azure OpenAI, OpenAI APIs, Ollama, or other enterprise LLM platforms. Familiarity with Microsoft Foundry. Experience with Databricks or modern lakehouse architectures. Knowledge of Kinaxis or supply chain planning platforms. Experience with Model Context Protocol (MCP), AI agent frameworks, prompt security, or AI governance. What We're Looking For We're looking for someone who enjoys solving complex operational problems through technology, is comfortable working directly with enterprise clients, and can lead projects from architecture through production deployment. If you're passionate about building secure, scalable AI solutions that create measurable business impact, we'd love to hear from you. Show more Show less