AI Engineer - Copilot studio

Were hiring a Technical Solutions Specialist (TSS) to join our AI Automation team. Youll take solution ideas from 0 to N designing, building, and running GenAI and automation solutions that solve real business problems for internal enterprise consumption.

This is a hands-on technical role within our IT function. Everything we build is for internal business teams. Youll write code, build agents, integrate systems, and work closely with cross-functional teams. You should be comfortable operating in an environment with clear segregation of duties, where influence and collaboration matter as much as technical skill.

What Youll Do

• Build and Deliver AI Automation Solutions
• Take solution ideas from concept to production discovery, design, build, deploy, and support.
• Break down messy business problems into structured, testable solutions.
• Build agents on Copilot Studio, automations on Power Platform, and custom services on Azure or AWS.
• Write production code in Python and/or TypeScript; build front-end components in React where needed.
• Diagnose and fix production issues across APIs, integrations, cloud services, and data flows.

GenAI Engineering

• Build and tune RAG pipelines chunking, embeddings, vector stores to improve agent accuracy.
• Handle real-world GenAI edge cases: token limits, malformed documents, hallucinations, latency, cost.
• Know when GenAI is the right answer and when it isnt. Pick the right tool for the problem.
• Integrate LLM services responsibly into enterprise workflows with proper guardrails, logging, and fallbacks.

Enterprise-Grade Thinking

• Design with enterprise realities in mind: security, compliance, environment segregation, change control, and auditability.
• Work within a segregation-of-duties model coordinate with platform, security, and infra teams instead of going around them.
• Contribute to runbooks, deployment docs, and operational playbooks so knowledge isnt stuck with one person.

Collaboration Communication

• Work across globally distributed teams. Give clear async updates and come prepared to sync discussions.
• Speak the language of engineering, IT, and business stakeholders and translate between them.
• Raise risks, blockers, and unknowns early. Dont let problems surface late.
• Own your workstream end-to-end. Ask for help when needed.

Agile DevOps

• Participate in sprint planning, stand-ups, and backlog grooming (Jira or equivalent).
• Use Git, GitHub Actions or Azure DevOps for version control and CI/CD.
• Do proper local testing and regression checks before handing off to SIT/UAT.

What Were Looking For

• 4-7 years of hands-on software or automation delivery experience.
• Strong coding skills in Python and/or TypeScript (JavaScript). Experience calling or building around LLM APIs.
• Hands-on experience with at least one major cloud Azure or AWS.
• Experience building GenAI solutions in production not just prototypes or notebooks.
• Practical understanding of RAG: embeddings, vector databases, chunking strategies, retrieval quality.
• Experience with React or a similar modern front-end framework.
• Experience with Microsoft Copilot Studio and Power Platform (Power Automate, Dataverse). Familiarity with Azure AI Search, Azure OpenAI, Azure Document Intelligence, or AWS Bedrock equivalents.
• Comfort working in enterprise IT environments with formal change management and cross-team dependencies.
• Clear communication skills verbal and written. Able to push back constructively.

Nice to Have

• Experience integrating with enterprise systems (Salesforce, Zuora, SharePoint, etc.).
• Exposure to agentic frameworks and multi-agent orchestration.
• Awareness of AI governance, security, and compliance practices.