Senior Software Engineer (Microsoft)

Job DescriptionJob DescriptionSalary: $55-$70/hr

[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. Youll 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.

Certifications:

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

Education:

• Bachelors or Masters degree in Computer Science, Engineering, or a related field

remote work