Reads like an AI Engineer role: building products on existing AI models.
Gurgaon, Haryana, India
Actively hiring, first seen by us 1 day agoDesign and build scalable AI/ML, generative AI and agentic AI solutions for complex business problems
Build RAG solutions using embeddings, semantic search and enterprise data sources
Design multi-agent workflows on Azure AI and agent orchestration frameworks
Establish AI evaluation frameworks and compare foundation models for business use cases
Implement MLOps and LLMOps practices for deployment, monitoring and lifecycle management
Design, architect, develop, and implement scalable AI/ML, Generative AI, and Agentic AI solutions to solve complex business problems
Create robust RAG solutions leveraging embeddings, semantic search, knowledge retrieval, and enterprise data sources
Design and implement intelligent multi-agent workflows using Microsoft Azure AI Agents Framework, Azure AI Foundry, Semantic Kernel, LangChain, LangGraph, and similar agent orchestration frameworks
Establish AI evaluation and benchmarking frameworks to assess model quality, accuracy, groundedness, relevance, latency, cost efficiency, and business value
Implement MLOps and LLMOps practices including model deployment, monitoring, observability, CI/CD automation, and lifecycle management
5+ years of experience applying Machine Learning, NLP, and Deep Learning techniques in production environments using large-scale enterprise datasets
3+ years of experience designing and implementing Generative AI solutions utilizing Large Language Models (GPT, Claude, Gemini, Llama, Mistral, etc.)
3+ years of experience building enterprise RAG solutions using embeddings, vector databases, semantic search, and knowledge retrieval techniques
Hands-on experience designing and implementing Agentic AI solutions using Microsoft Azure AI Agents Framework, Azure AI Foundry
Solid understanding of LLM orchestration, planning, memory management, tool calling, agent communication, and multi-agent architectures
Experience applying data science techniques in a commercial enterprise, including supervised learning, unsupervised learning, NLP, deep learning, forecasting, optimization, recommendation systems, and predictive analytics
Experience with multimodal AI solutions involving Vision, OCR, Speech, Audio, and Document Intelligence models
Experience fine-tuning foundation models and deploying custom AI models
Experience with AI evaluation and observability tools such as LangSmith, Prompt Flow, RAGAS, DeepEval, TruLens, and Azure AI Evaluation
Experience building Enterprise AI Copilots and autonomous AI assistants
Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
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Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. The Senior AI/ML Engineer is responsible for designing, architecting, and implementing enterprise-scale AI solutions involving structured and unstructured data sources (PDFs, documents, databases, APIs, enterprise applications, knowledge repositories, etc.) to develop intelligent systems using Machine Learning, Generative AI, Large Language Models (LLMs), Agentic AI, and advanced AI frameworks. The engineer will be responsible for identifying AI/ML opportunities and leading the design and delivery of AI-powered solutions within Digital, Sales, Marketing, Operations, and Enterprise platforms to improve customer experience, automate business processes, enhance productivity, generate actionable insights, and support strategic decision-making. The candidate should possess Solid expertise in Python, Machine Learning, Generative AI technologies, AI architecture, and cloud-native AI platforms, with the ability to lead AI initiatives from concept through production deployment. Primary Responsibilities:
Required Qualifications: - Overall 10+ years of software Engineering Experience, 6+ years of experience in Python development using common AI/ML and data science libraries such as Scikit-Learn, Pandas, PyTorch, TensorFlow, and Databricks - 5+ years of experience applying Machine Learning, NLP, and Deep Learning techniques in production environments using large-scale enterprise datasets
- Lead the development of enterprise AI architectures involving traditional machine learning models, LLMs, Retrieval-Augmented Generation (RAG), vector databases, and autonomous agent systems - Design and implement intelligent multi-agent workflows using Microsoft Azure AI Agents Framework, Azure AI Foundry, Semantic Kernel, LangChain, LangGraph, and similar agent orchestration frameworks - Collaborate with business stakeholders, product owners, architects, and engineering teams to identify and prioritize AI/ML opportunities across the organization
- Collaborate with business stakeholders, product owners, architects, and engineering teams to identify and prioritize AI/ML opportunities across the organization - Develop and deploy production-grade AI solutions utilizing Azure OpenAI Service, Azure AI Search, Azure Machine Learning, and related cloud AI services - Create robust RAG solutions leveraging embeddings, semantic search, knowledge retrieval, and enterprise data sources
- 3+ years of experience building enterprise RAG solutions using embeddings, vector databases, semantic search, and knowledge retrieval techniques - Hands-on experience designing and implementing Agentic AI solutions using Microsoft Azure AI Agents Framework, Azure AI Foundry - Semantic Kernel, LangChain, LangGraph, AutoGen, CrewAI, or similar frameworks
- Experience designing, developing, and deploying scalable APIs and microservices for AI applications - Solid experience in cloud platforms (Azure preferred) with expertise in Azure OpenAI Service, Azure AI Search, Azure Machine Learning, Azure Databricks, Azure Functions, and Azure Kubernetes Service (AKS) - Experience implementing MLOps and LLMOps practices including model governance, CI/CD pipelines, monitoring, observability, and automated deployment processes
- Experience fine-tuning foundation models and deploying custom AI models - Experience with AI evaluation and observability tools such as LangSmith, Prompt Flow, RAGAS, DeepEval, TruLens, and Azure AI Evaluation - Experience building Enterprise AI Copilots and autonomous AI assistants
- Experience working in Healthcare, Insurance, Financial Services, or other regulated industries - Microsoft Azure certifications such as AI-102, DP-100, Azure Solutions Architect Expert, or related AI/Cloud certifications - Experience contributing to AI Centers of Excellence (CoE), AI Governance Boards, or enterprise AI transformation initiatives
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We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
The Senior AI/ML Engineer is responsible for designing, architecting, and implementing enterprise-scale AI solutions involving structured and unstructured data sources (PDFs, documents, databases, APIs, enterprise applications, knowledge repositories, etc.) to develop intelligent systems using Machine Learning, Generative AI, Large Language Models (LLMs), Agentic AI, and advanced AI frameworks. The engineer will be responsible for identifying AI/ML opportunities and leading the design and delivery of AI-powered solutions within Digital, Sales, Marketing, Operations, and Enterprise platforms to improve customer experience, automate business processes, enhance productivity, generate actionable insights, and support strategic decision-making. The candidate should possess Solid expertise in Python, Machine Learning, Generative AI technologies, AI architecture, and cloud-native AI platforms, with the ability to lead AI initiatives from concept through production deployment.
Primary Responsibilities:
Required Qualifications:
Preferred Qualifications:
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
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Gurgaon, Haryana, India
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