Senior AI & Agentic Solutions Engineer
Posted Updated 12
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Summary
Design and deliver AI and data‑science solutions, building ML models and GenAI applications with LLMs, RAG, and AI agents, while collaborating with business teams to identify use cases, prepare data, evaluate impact, and communicate results, primarily using Python and related tools.
Role Purpose
Design and deliver GenAI, Copilot,
and Agentic AI solutions that automate processes and create measurable business
value.
Key Responsibilities
- Identify
AI use cases with business teams.
- Build
machine learning and data science models.
- Develop
GenAI solutions using LLMs, RAG, prompts, and AI agents.
- Prepare
and analyse data for AI use cases.
- Evaluate
model performance and business impact.
- Support
responsible AI, testing, monitoring, and documentation.
- Explain
AI capabilities and limitations in business language.
Requirements
Required Skills
- Python, APIs, GenAI, LLMs, RAG, vector databases, and
AI agents.
- Experience designing and integrating enterprise AI
solutions.
- Strong problem-solving and ability to translate
business needs into AI use cases.
Preferred
- Azure AI Foundry, Azure OpenAI, Copilot Studio,
LangChain, LlamaIndex, or similar.
- Experience with multi-agent solutions, security,
governance, and enterprise integrations.
- AB-100 or related Microsoft AI/Copilot certifications.