Forward Deployed Solutions Lead
Accenture Global
We are: Accenture Data & AI, the people who love using data to tell a story. We’re also the world’s largest team of data scientists and experts in machine learning and AI. A great day for us Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds? Read on to learn more about this role and who we are looking for. Role Overview We are looking for a Forward Deployed Solutions Consultant who combines strong software technical skills with hands-on experience in Agentic AI, Microsoft Azure, and Microsoft Fabric. This role is ideal for someone who enjoys solving complex problems directly with clients and turning ideas into working, production-ready solutions. You will work across AI agents, data, APIs, cloud infrastructure, security, networking, and DevOps, taking solutions from design and development through deployment and production support. What You’ll Do
- Design, build, deploy, and support enterprise Agentic AI solutions on Microsoft Azure.
- Develop AI agents using Microsoft Foundry/Azure AI services and Copilot Studio.
- Build and integrate Model Context Protocol (MCP) servers and tools.
- Connect agents securely to enterprise applications, APIs, operational systems, and data sources.
- Use Microsoft Fabric for data integration, engineering, analytics, and AI-enabled solutions.
- Design and implement API integration patterns using Azure API Management (APIM).
- Build secure, containerized applications using Docker and Azure Container Registry.
- Implement enterprise identity and security patterns using Microsoft Entra ID, Managed Identities, and Azure Key Vault.
- Work with Azure VNets, private endpoints, DNS, routing, and firewall controls.
- Build and support CI/CD pipelines using Azure DevOps and/or GitHub.
- Implement logging, monitoring, observability, and production support capabilities.
- Troubleshoot issues across AI, application, API, data, identity, network, container, and Azure infrastructure layers.
- Work closely with client technical consulting, architecture, security, infrastructure, data, and product teams.
- Lead technical design, whiteboarding, troubleshooting, and knowledge-transfer sessions.
- This role is hybrid.
- Minimum 8 year's hands-on software development experience, particularly with Python.
- Minimum 8 years' experience designing and delivering solutions on Microsoft Azure.
- Minimum 5 year's Hands-on experience developing Generative AI and/or Agentic AI applications.
- Experience with Microsoft Foundry/Azure AI services, Copilot Studio, or similar enterprise AI platforms.
- Experience building AI agents, orchestration workflows, grounding, and tool-calling integrations.
- Working knowledge of Model Context Protocol (MCP), including developing or troubleshooting MCP servers and tools.
- Experience with Microsoft Fabric and enterprise data or analytics solutions.
- Strong API development and integration experience, including REST APIs and Azure API Management.
- Experience with Docker, containers, and Azure Container Registry.
- Good understanding of Azure networking, including VNets, private endpoints, DNS, routing, and firewalls.
- Experience with Microsoft Entra ID, Managed Identities, and Azure Key Vault.
- Experience with CI/CD using Azure DevOps and/or GitHub.
- Strong problem-solving skills and the ability to troubleshoot solutions across multiple technology layers.
- Strong communication and client-facing skills.
- English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement.
- C#/.NET and/or TypeScript development experience.
- Experience deploying enterprise GenAI or Agentic AI solutions into production.
- Hands-on MCP server or custom agent-tool development.
- Experience integrating Microsoft Fabric with AI/agent solutions.
- AI Gateway or GenAI API-management experience.
- Hybrid Azure and on-premises integration experience.
- Experience working in private Azure environments with restricted network connectivity.
- Enterprise observability, governance, and security experience.
- Previous experience as a Forward Deployed Solutions Lead, Lead technical consultant, Principal Consultant, or hands-on Solution Architect.
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