Ai engineer Jobs in US

[Industry: Hospitals and Health Care | Type: Full-time | Level: Director] Ready to help us transform healthcare? Bring your true colors to blue.About The RoleBlue Cross Blue Shield of Massachusetts is seeking a transformative Senior Manager of AI En

[Industry: Data Infrastructure and Analytics | Type: Full-time | Level: Mid-Senior level] Job Title:Data Scientist (or AI Engineer)Location:Tampa, FL - MacDill AFBWorkplace:Hybrid; 2-3 days per week onsite at MacDill AFB, FLClearance:Top Secret (TS)

[Applicants: Be among the first 25 applicants | Industry: IT Services and IT Consulting | Type: Full-time | Level: Mid-Senior level] Tiger Analytics is seeking a highly skilledSenior AI Engineerto join our dynamic team. In this role, you will design

The role needs excellent hands-on AI engineering excellence to build robust, accurate, and reliable AI solutions. You will also build cutting-edge AI solutions leveraging agentic architecture, retrieval-augmented generation (RAG), vector search, feature stores, LLMOps, experimentation, observability, and compliance-first AI pipelines.

Responsibilities Good experience in OOP Python AWS cloud experience (Lambda, Step Functions, CFT, IAM, Glue, S3, SNS, SQS etc.) Good CI/CD experience (Preferably Jenkins) AI/ML operations experience using AWS Sagemaker IAC experience Qualifications Has bachelor’s or master’s Degree in a technology related field (e.g. 1+ years of experience in developing ML infrastructure and MLOps in the Cloud using AWS Sagemaker.

Our 3-month AI Trainee Program is your gateway to mastering advanced AI techniques while sharpening your software engineering skills through hands-on experience and mentorship. 👉 We especially value candidates who adopt new AI technologies quickly and can use AI coding tools (e.g., Cursor, GitHub Copilot) to speed up the coding process.

We’re looking for an AI Engineer to design, build, and scale document intelligence systems at the intersection of LLMs, structured data, and real-world product delivery. What You’ll Do Design and scale document ingestion and processing pipelines across PDFs and structured/unstructured data Build and productionize LLM-powered workflows for extraction, classification, summarization, and validation Improve model accuracy, reliability, latency, and cost efficiency Partner closely with product and engineering to translate customer problems into shipped AI features Implement evaluation frameworks, monitoring, and feedback loops to drive continuous improvement Own features end to end from early prototype through production and iteration What We’re Looking For Strong Python engineering skills with experience writing production-quality, well-tested code Applied ML experience, particularly in NLP or document-focused AI systems Hands-on experience integrating LLMs, including structured outputs, retrieval, tool or function calling Comfort owning ambiguous problems and driving them to production Product-minded approach with a bias toward shipping, learning, and iterating quickly Show less

Senior AI Engineer (Gen AI Platform Services, Agentic Systems) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

Role: Google Cloud ML Engineer- Vertex AI Dallas, Day1 Onsite In person needed Duration: 1+ year About The Role We seek an experienced developer to design, build, and deploy advanced Conversational AI/NLU solutions Requirements Experience architecting, designing, and developing scalable chat Virtual Agent frameworks using Google Vertex AI, with proficiency in Vertex AI Agent Engine, Model Garden and Google Agent Development Kit (ADK). Hands-on experience in developing NLP and GenAI Models on Vertex AI Proficiency in training, fine-tuning, and deploying custom LLMs, transformer models, and Retrieval Augmented Generation (RAG) pipelines to AI Models.