Contribute to the development of advanced Artificial Intelligence solutions, focusing on Generative AI, intelligent agents, and AI-powered copilots using the Microsoft Azure ecosystem.
Responsibilities
Design, develop, and implement intelligent AI agents, copilots, and Generative AI solutions using the Microsoft Azure ecosystem.
Build both embedded and standalone AI agents, integrating artificial intelligence capabilities into existing enterprise applications and corporate systems.
Develop and implement Retrieval-Augmented Generation (RAG) architectures to improve the accuracy, relevance, and contextual understanding of AI-generated responses.
Leverage Azure AI Foundry, Azure OpenAI, and Azure AI Search to develop, deploy, and manage advanced AI-powered applications.
Implement Function Calling, Model Context Protocol (MCP), and API integrations to enable AI agents to interact with external services, tools, and enterprise systems.
The estimated base salary range for this job is $170000.00 - $190000.00 annually. It represents a good faith estimate of the range that ECG reasonably expects to pay at the time of the job posting. This job is eligible to participate in ECG’s annual incentive compensation program, which reflects ECG’s pay-for-performance philosophy. The job is also eligible to participate in ECG’s benefit plans, which include medical, dental, and vision coverage, a 401(k) matching program, unlimited PTO, and other wellness programs.
Responsibilities
Design and develop production-grade generative AI, ML, and agentic AI solutions for healthcare and business applications
Collaborate with IT and Hub members to deploy solutions
We are seeking an AI & Machine Learning Manager with strong hands‑on expertise in AI/ML engineering, Generative AI, data science and enterprise solution delivery.
Responsibilities
Work with business leaders and domain teams to identify, assess and prioritise AI/ML opportunities based on business value, feasibility, risk and expected return.
Translate business problems into clear AI use cases, functional requirements, solution options, delivery plans and measurable success criteria.
Define AI roadmaps and support business cases, proof‑of‑concept assessments and the transition of successful pilots into production solutions.
Lead the design, development, testing and deployment of machine learning, deep learning, NLP, predictive analytics and Generative AI solutions.
Guide the development of LLM‑based applications, Retrieval‑Augmented Generation (RAG), AI agents, conversational systems and intelligent automation solutions.
Requirements
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering or a related discipline
Build retrieval-augmented generation systems, intelligent assistants, AI agents, and workflow automation solutions using enterprise and healthcare data
Develop evaluation frameworks that measure solution quality, accuracy, groundedness, reliability, and business impact
Contribute to the creation and improvement of automated testing methodologies, benchmark datasets, and regression testing processes
Requirements
Bachelor’s degree in computer science, computer engineering, mathematics, statistics, health information management, or a related degree
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