Microsoft AI & Automation Engineer

• Ready to turn business problems into practical AI and automation solutions — and to say so when AI is not the right answer?
• Interested in owning a use case from the first workshop through to enterprise deployment, rather than picking it up after someone else has scoped it?

Practical Information

Location: Sofia, Bulgaria | Reports to: Service Delivery Lead - Azure & DWP | Work Arrangement: Hybrid | Language Requirements: Fluent/professional English, written and verbal | Learn more: softwareone.com

As our new Microsoft AI & Automation Engineer, you work directly with customers to identify valuable use cases, recommend the right solution and take it through to enterprise deployment. Sometimes that means an agent built in Microsoft Copilot Studio or Microsoft Foundry. Sometimes it means Power Platform automation, classic search or another deterministic approach.

This is a customer-facing delivery role on enterprise AI enablement engagements, working alongside the architect who owns the platform decision and alongside the strategy, security and adoption workstreams. Alongside hands-on delivery, you will help ensure that Responsible AI and governance principles are designed into solutions from the beginning rather than added at the end.

We care more about solving the problem than using the most powerful technology.

Key Responsibilities

• Advise and implement governance guardrails within the customer's Power Platform — managed environments, DLP connector policies, the custom connector approval route, capacity and license consumption, and the Center of Excellence tooling that keeps the estate visible Use agile and design-thinking methods to uncover, challenge and prioritise valuable AI and automation use cases
• Build and customize agents in Microsoft Copilot Studio or Microsoft Foundry — instructions, knowledge grounding, connectors, actions and the enterprise AI workflows behind them
• Support the Solution Architect on the platform decision for each enterprise AI use case — Copilot Studio, Microsoft Foundry or the Power Platform — working from the business outcome rather than the product, choosing the least powerful option that meets the requirement, and defending that trade-off in design review
• Say so when the answer is not an agent at all: structured, predictable work belongs in deterministic automation, and static retrieval in classic search. Recommending that is part of the job
• Build and manage enterprise integrations — REST APIs, authentication, permissions, and connections into Dataverse, SharePoint and third-party systems
• Develop and maintain solutions across Power Apps and Power Automate
• Support enterprise AI rollout by embedding security, governance and Responsible AI principles across the solution lifecycle
• For everything you build, ensure the following: a first-class agent identity with least-privilege scope, registration in the agent inventory, human approval gates on anything that writes, data-protection checks across grounding and action paths, and audit-mode monitoring from day one
• Stay current on Microsoft Copilot, Power Platform and MCP developments, and share what you learn across the team