Senior Software Engineer (Microsoft)

Job Description

**[Confidential Healthcare Client]**

**Sr. Software Engineer (Microsoft Stack) – Generative AI**

**Location:** REMOTE
**Contract Term:** 6 months+ with likely extensions
**Employment Type:** W2 (H1B sponsorship and C2C eligible)
**Pay Rate:** $55-$70/hr
**Client Industry:** Healthcare / Hospital Innovation

**Role Overview:**

A leading hospital system is seeking a **Sr. Microsoft Software Engineer – Generative AI** to join their team. This role is ideal for a **self-driven engineer** who thrives in ambiguity and wants to lead the development of end-to-end AI applications using **Microsoft Copilot**, **Azure AI**, and other tools in the Microsoft ecosystem. You’ll design and deploy healthcare-compliant GenAI systems that accelerate innovation in clinical and operational environments.

**Key Responsibilities:**

* Design and implement generative AI solutions using LLMs (GPT, CoPilot) and agentic frameworks.
* Rapidly prototype and develop functional agents using:
+ **Microsoft Stack:** Copilot, Power Automate, MS Flow
+ **Azure Services:** Azure OpenAI, Azure ML, Cognitive Search, Functions, Health Data Services
* Evaluate and integrate 3rd-party AI tools like OpenAI, Anthropic, and Cohere based on use case fit.
* Develop evaluation frameworks (e.g., RAGAS, human-in-the-loop, hallucination mitigation).
* Solve complex system challenges related to **compliance**, **scalability**, and **performance**.
* Build internal tools and UIs (React, REST/GraphQL) to support AI features across the enterprise.

**Required Experience:**

* **3+ years** of hands-on AI/ML experience, with at least **1 year focused on GenAI using Microsoft platforms**.
* Strong Python skills, with additional experience in TypeScript or JavaScript.
* Production-level experience with:
+ MS Copilot, Azure AI ecosystem
+ Vector databases (e.g., OpenSearch, Pinecone, FAISS, Weaviate)
* Familiarity with **CI/CD pipelines**, DevOps practices, and secure software development.
* Knowledge of healthcare data environments (HIPAA compliance) is a plus.
* Exposure to traditional ML libraries (scikit-learn, pandas) and exploratory data analysis.
* Experience in **full-stack development** (React, REST/GraphQL).
* Familiarity with observability tools such as **CloudWatch** and **Grafana**.

**Preferred Certifications:**

* Microsoft Certified: Azure AI Engineer Associate
* AWS Certified Developer or Solutions Architect

**Education:**

* Bachelor’s or Master’s degree in **Computer Science**, **Engineering**, or a related field