61 ai engineer jobs found

Top Must Haves Snowflake, AI, and Python Strong programming experience in Python Hands-on experience with Snowflake Understanding of AI/ML concepts (e.g., regression, classification, NLP) Experience with libraries such as: Pandas, NumPy Scikit-learn TensorFlow or PyTorch (preferred) Knowledge of SQL and data warehousing concepts Experience with ETL/ELT pipelines Familiarity with cloud platforms (AWS / Azure / Google Cloud Platform) Position: Snowflake Data Engineer Location: Atlanta, GA/Ashburn, VA (Hybrid) Duration: 12 Months Contract For applications and inquiries, contact: hirings@openkyber.com

Title: Cybersecurity Detection Engineer - AI-Driven Threats Location: Vienna, VA, Winchester, VA, or Pensacola, FL Employment Type: Contract Compensation: Pay Range: $56.350-$80.50 Per HR Job Summary: This role is set in a hybrid environment across Vienna, VA, Winchester, VA, or Pensacola, FL, and is a contract position. The position requires expertise in cybersecurity detection engineering, focusing on AI-driven threats. Responsibilities include designing and deploying detection capabilities and working with generic technology platforms. Key Responsibilities: Serve as the senior technical expert for AI-focused threat detection. Design and maintain advanced detection content across security platforms. Engineer high-confidence detections using complex query languages. Research emerging AI threats and translate them into actionable strategies. Mentor and guide engineers on AI threat concepts and detection strategies. Qualifications: 7 years of...

We are looking for an experienced IT Security Engineer - Zscaler Specialist to support and strengthen enterprise cloud security operations in Chicago, IL. This Long-term Contract position focuses on administering and enhancing Zscaler-based security services while helping maintain a reliable, scalable, and well-governed security environment. The role will partner with cross-functional teams to evaluate requirements, resolve technical issues, and improve secure access, web protection, and data safeguarding capabilities. Responsibilities: Administer and optimize Zscaler security platforms to support secure, high-performing access across cloud and enterprise environments. Investigate configuration issues, analyze service behavior, and implement corrective actions to maintain stable security operations. Collaborate with infrastructure, network, and application teams to align security controls with business needs and technical requirements. Support secure web access,...

Senior Staff Data Engineer Classification: Contract Contract Length: 12 Months Nashville, TN (Onsite) Position Summary The Sr Staff Data Engineer will be part of the team in Nashville, TN . The Senior Staff Data Engineer - API serves as a primary development resource for design, writing code, test, implementation, document functionality, and maintain of NextGen solutions for the Google Cloud Platform Cloud enterprise data initiatives. The role requires working closely with data teams, frequently in a matrixed environment as part of a broader project team. This role requires self-starters who are proficient in problem solving and capable of bringing clarity to complex situations. The culture of the organization places an emphasis on teamwork, so social and interpersonal skills are equally important as technical capability. Due to the emerging and fast-evolving nature of Google Cloud Platform technology and practice, the position requires that one stay well-informed of...

Title: Senior AI Native Software Engineer (Agentic AI) Duration: 1+ Year Contract Location: Remote with up to 20% travel required (travel will be reimbursed) What You Must Have 8-10+ years of software engineering experience Strong experience with cloud-native systems (APIs, microservices, containers, serverless) Experience building and deploying AI/LLM-based systems in production (agents, RAG, orchestration) Proficiency in Python, Java, or similar backend languages Experience with: CI/CD pipelines, Infrastructure as Code, Monitoring and observability tools Hands-on experience with AI platforms (OpenAI, Claude, Vertex AI, or similar) What We'd Like You to Have Experience with agent frameworks (e.g., LangGraph, AutoGen, CrewAI) Experience designing multi-agent or distributed AI systems Familiarity with enterprise-scale system integration Experience optimizing AI workloads for cost and performance Responsibilities Will Include Design and...

Role: AI NATIVE SOFTWARE ENGINEER Location: NYC, New York (Hybrid) Duration : 12-month contract with extension Client : ACCENTURE Overview Seeking a hands-on AI Native Software Engineer to design, build, and deploy production-grade AI-driven systems within enterprise environments. The role focuses on implementing agent-based workflows, integrating AI platforms, and delivering scalable cloud-native solutions. MUST HAVES: AI RAG,LLM, MCP, ETC Any Programming Languauge Deployment into Production, Not Just POC Responsibilities AI Agent Engineering Design and implement AI agents, including: Retrieval (RAG) Orchestration workflows Tool/function invocation Policy-based routing Build evaluation frameworks for accuracy, latency, and reliability Implement observability and monitoring for agent lifecycle AI Platform Integration Integrate with AI providers (e.g., OpenAI, Anthropic, Google Vertex, open-source models) Build...

We are looking for AI Engineer (Generative AI / MLOps / AI Agents) for our client in Warren, NJ Job Title: AI Engineer (Generative AI / MLOps / AI Agents) Job Location: Warren, NJ Job Type: Contract Job Overview: Pay Range: $80hr - $85hr We are seeking an AI Engineer with expertise in Generative AI, MLOps, and AI agent development. The ideal candidate will design, develop, deploy, and maintain scalable AI solutions, leveraging modern machine learning operations practices and advanced AI frameworks to build intelligent, production-ready systems. Responsibilities: Design and develop generative AI models and AI-driven applications. Build and deploy AI agents for automation and intelligent workflows. Implement and manage MLOps pipelines for model training, testing, deployment, and monitoring. Optimize model performance and scalability for production environments. Collaborate with cross-functional teams to integrate AI solutions into applications....

We are looking for AI Engineer (Generative AI / MLOps / AI Agents) for our client in Warren, NJ Job Title: AI Engineer (Generative AI / MLOps / AI Agents) Job Location: Warren, NJ Job Type: Contract Job Overview: Pay Range: $80hr - $85hr We are seeking an AI Engineer with expertise in Generative AI, MLOps, and AI agent development. The ideal candidate will design, develop, deploy, and maintain scalable AI solutions, leveraging modern machine learning operations practices and advanced AI frameworks to build intelligent, production-ready systems. Responsibilities: Design and develop generative AI models and AI-driven applications. Build and deploy AI agents for automation and intelligent workflows. Implement and manage MLOps pipelines for model training, testing, deployment, and monitoring. Optimize model performance and scalability for production environments. Collaborate with cross-functional teams to integrate AI solutions into applications....

job summary: We are seeking a high-caliber Principal AI Engineer for a contract engagement to accelerate the implementation of Agentic AI solutions. This is a ""builder"" role requiring a rare blend of deep Generative AI expertise, full-stack Python mastery, and AWS cloud architecture. You will be responsible for moving AI from experimental prototypes to production-grade autonomous agents. location: Mclean, Virginia job type: Contract salary: $73.92 - 81.81 per hour work hours: 8am to 5pm education: Bachelors responsibilities: Key Deliverables Agentic Workflows: Design and deploy multi-agent systems using LLM orchestration frameworks (e.g., LangGraph, CrewAI) to automate complex cross-functional business processes, targeting measurable efficiency gains. Production RAG: Build and optimize high-performance Retrieval-Augmented Generation pipelines using Amazon Bedrock and vector databases (e.g., OpenSearch, Pinecone), with clear latency and accuracy...

Job Title: Data AI Engineer Location: Remote Duration: 06 months of contract Quick Summary What They'll Do Build production AI services Partner with the data platform team to deliver AI solutions Bring best practices and help accelerate delivery Focus on getting core features live quickly Main Projects Bid / Proposal Analysis Process large documents (floor plans, technical specs) Extract insights to assess what can be delivered Document Intelligence System Ingest and analyze complex documentation Reason across documents and layered technical content Tech Stack Cloud: Azure (enterprise landing zone) AI: Azure OpenAI, Document Intelligence, Computer Vision Frameworks: Microsoft Agent Framework (preferred) Architecture: Modular, API first, agent based Integration: Azure APIM, ERP/CRM/document systems Ops: App Insights, OpenTelemetry Data: No large pipelines document ingestion & AI inference only Must Have Skills AI delivery experience (production, not...

Job Title: Data AI Engineer Location: Remote Duration: 06 months of contract Quick Summary What They'll Do Build production AI services Partner with the data platform team to deliver AI solutions Bring best practices and help accelerate delivery Focus on getting core features live quickly Main Projects Bid / Proposal Analysis Process large documents (floor plans, technical specs) Extract insights to assess what can be delivered Document Intelligence System Ingest and analyze complex documentation Reason across documents and layered technical content Tech Stack Cloud: Azure (enterprise landing zone) AI: Azure OpenAI, Document Intelligence, Computer Vision Frameworks: Microsoft Agent Framework (preferred) Architecture: Modular, API first, agent based Integration: Azure APIM, ERP/CRM/document systems Ops: App Insights, OpenTelemetry Data: No large pipelines document ingestion & AI inference only Must Have Skills AI delivery experience (production, not...

AI Engineer Manager Minnesota (onsite, Hybrid) 6+ months contract Full job description As an AI Engineering Manager, you will support the design, development, and deployment of AI applications across healthcare sectors. You will lead client engagements and design and deliver architecture for complex AI and R&D type problems. AI Engineering Managers are responsible for developing design patterns, infrastructure, and engineering resources by understanding business and use case priorities, defining the data strategy, and leading application deployment to solve our clients' use cases. They work cross-functionally with data scientists, DevOps, and data engineers, project managers, and industry experts to develop robust AI platforms and cloud solutions. Key responsibilities include but are not limited to: Work with clients to design, develop, and deploy new architectures to support machine learning & automation applications Leverage advanced technical skills in modern...

AI Engineer Architecture & Foundry Deployment Location: Houston, TX (Onsite Required) Position Type: Long-term Contract Key Responsibilities Design and deploy standardized, reusable architectures supporting multiple enterprise AI products. Work hands-on within Microsoft Foundry (previously AI Studio), including agent/sub-agent deployment, grounding configuration, and token management. Build and maintain Ansible roles to automate infrastructure provisioning, configuration, and deployment of Foundry and Azure resources. Use Ansible as an abstraction layer to manage complex, large-scale Azure environments across multiple regions and subscriptions. Support enterprise-wide Foundry deployments, including environment separation (prod/test/experimental) and regional/subscription architectures. Assist in building automation and integration patterns that streamline AI development and operations. Collaborate with software engineers, architects, and platform teams...

Job Description - AI Engineer Location: Salt Lake City, UT Duration: 12 Months Contract Role Overview: An AI Engineer is responsible for designing, building, deploying, and optimizing AI, Machine Learning, and Generative AI solutions that solve real business problems. This role bridges data, models, and applications , ensuring AI solutions are scalable, reliable, and productionready. AI Engineers work closely with product owners, data engineers, software engineers, and client stakeholders to translate requirements into intelligent systems. Key Responsibilities 1. AI & Generative AI Development Design and build AI and Generative AI solutions using LLMs, NLP, and deep learning models Develop applications using OpenAI APIs, Azure OpenAI, HuggingFace, LangChain, Amazon Bedrock , and similar platforms Implement Retrieval Augmented Generation (RAG) pipelines using vector databases such as FAISS and Pinecone Finetune models using techniques like LoRA and QLoRA...

Lumen Solutions Group Inc. is a technology consulting Services company based in Florida. We provide a wide array of experienced business and IT professionals supporting clients from solution design to implementation and support. We specialize in professional IT consulting services, IT Staffing, Business/IT Strategy, Business Process Blueprints, Enterprise Architecture, Enterprise Transformation. Role: AI Agent Engineer / Agentic AI Engineer Location: Austin, TX (Hybrid - On Site and Telework) Job Type: Contract Note: We need only Local Texas Candidates. Job Summary: We are seeking an experienced AI/ML Engineer / Autonomous Agent Engineer with 8+ years of hands-on experience in artificial intelligence, machine learning, and advanced data science to design, develop, and deploy production-grade autonomous AI agents and intelligent workflows. The ideal candidate will have a proven track record of building scalable, enterprise-ready AI solutions, including...

Job Title: Azure Databricks Engineer (W2) Location: Charlotte, NC (Hybrid) Duration: 12+ months contract Experience: 10+ years Description: This is an AI Engineer with Azure Databricks Exposure We are seeing a highly skilled senior AI Engineer to join our innovative team. The ideal candidate will be responsible for developing and deploying intelligent AI solutions using VS Code, Azure AI Studio, and Databricks. You will integrate AI powered solutions across multiple channels like Web applications, etc. Key Responsibilities: Design, develop and deploy intelligent conversational AI solutions using Azure AI technologies, and Databricks. Utilize VS code, Databricks and AI studio for model development, testing, deployment, and monitoring. Build and manage AI agents for automation and advanced conversational experiences. Integrate the AI services into applications using python frameworks such as Django, FastAPI, and Flask; build secure REST endpoints,...

Job Title: Azure Databricks Engineer (W2) Location: Charlotte, NC (Hybrid) Duration: 12+ months contract Experience: 10+ years Description: This is an AI Engineer with Azure Databricks Exposure We are seeing a highly skilled senior AI Engineer to join our innovative team. The ideal candidate will be responsible for developing and deploying intelligent AI solutions using VS Code, Azure AI Studio, and Databricks. You will integrate AI powered solutions across multiple channels like Web applications, etc. Key Responsibilities: Design, develop and deploy intelligent conversational AI solutions using Azure AI technologies, and Databricks. Utilize VS code, Databricks and AI studio for model development, testing, deployment, and monitoring. Build and manage AI agents for automation and advanced conversational experiences. Integrate the AI services into applications using python frameworks such as Django, FastAPI, and Flask; build secure REST endpoints,...

Title : AI Manager Location : Denver-CO (Onsite) Duration : 12+ months Visa Status : USC/H4 EAD/L2 EAD/H1B/GC Tax Term : C2H/C2C/W2 Note : Need Manager Level need to be 50% building AI solutions and 50% managing a team of builders. must have exp in building AI solutions Job Summary: 10+ years of management experience 4+ years of LLM experience (fine-tuning, RAG, prompt engineering, agentic) 8+ years of ML/Data Science Experience Someone who has been delivering AI/ML models into production (no research but real industry experience) Strong ability to mentor, builds teams, and drive technical vision Great communication skills Please take a look at the below matrix sheet and Skillset sheet fill it and revert it with your DL, as soon as you can. Rate: Candidate’s Full name: Phone number: Email address: Current location with Zipcode: DOB: (MM/DD) The last 4- Digits of the SSN Willing to relocate: Work Authorization (With...

Please send current resumes directly to bhagyashree.yewle@yoh.com Bhagyashree Yewle, Principal Lead Recruiter - YOH SPG https://www.linkedin.com/in/bhagyashreeyewle/ Contract to Hire Lead Quality Test Automation Engineer - Hybrid Onsite in Boston // Ability to be 70% hands-on and 30% leadership/direction. Must be based in Boston as the primary location; Needham is possible some days, but Boston is the team’s home base. ****Open to W2 and CTC contractors**** The ideal candidate will bring: Strong engineering/QE foundation with hands-on automation experience, not just tool-based testing. Java development or Java-based automation experience; Gherkin/BDD syntax is important. Trading technology domain exposure, ideally OMS, pre-trade, post-trade, or broader asset management experience. – This is a nice to have CI/CD experience, preferably Jenkins, plus cloud exposure; AWS is ideal, but any cloud is acceptable. Automation framework experience, we are using...

About Namecoach For the past decade, Namecoach has worked with universities, enterprises, and global platforms to help people pronounce names correctly across languages and cultures. And we built the largest verified pronunciation dataset of its kind, combining human recordings, phonetic transcription, and machine learning. We're now building Euphonia , a pronunciation intelligence platform for voice AI. Voice agents are proliferating, but they all break on the same problem: names and out-of-vocabulary words. We've closed our Series A; a bridge round to Series B is in motion. The voice AI moment is now, and we're positioned uniquely well for it. Why this role, why now Voice AI deployment is exploding, but every conversational AI product breaks on the same problem: names and OOV words. A patient relations agent's TTS bot mispronounces "Atorvastatin." A university enrollment assistant butchers "Saoirse." Voice agents lose trust the moment they get a name or word wrong, and...

Production Support / SRE, LINUX/UNIX Administration, SQL, Automation ( Python/bash/ Perl/Ruby/Shell), Messaging (MQ, CPS, XML, FIX), CI/CD ( Git, Artifactory, Jenkins, Docker), Data Streaming ( SPARK, Kafka), observability and monitoring (Grafana, Splunk, Dynatrace, AppDynamics), Configuration/Release mgt tools (Puppet, Ansible, Chef, GitHub) 12+ Mths Cont to Hire South Jordan, UT JPC - 3551 Level 2 : (6 to 8 yrs of total industry Exp) Loc : South Jordan, UT (Hybrid: Hybrid - 3-days a week in office is mandatory) Duration: 12+ months (Contract to Hire) Interview Process: - 1st: Zoom - 2nd: Onsite Description: Bachelor's Degree: Yes Industry Background: Plus Years of experience: 2 - 5 years exp Shifts: Morning: 8am - 5:00pm Evening: 12:30 - 8:am o Weekend: OnCall (Remote) Must: Linux and Unix Hands on Experience ! o Needs to be comfortable troubleshooting at OS Level Production Support Exp o Incident Handling, Debugging live systems and on-call experience Scripting/Automation...

Job Role: ML Pipeline Engineer Location: Downey, CA (90242) Duration: 12 Months Contract Skills Required: DevOps, deployment, network operations, systems administration, scripting, coding, development for planning, testing, deployment Linux Slackware web servers configuration HTML, CSS, JavaScript, Java, C coding Android development Automation tools Cloud infrastructure, CI/CD, automation, security, production operations Microsoft Azure with multi subscription architecture, landing zones, governance, policy enforcement CI/CD pipelines with GitHub Actions Repository migrations, pipeline driven delivery Infrastructure as Code, configuration driven deployment, platform standardization Linux-based and cloud-hosted application environments administration Containerization: Docker, Azure Container Apps, Azure Container Registry Networking and secure application delivery: Application Gateway, API Management, SSL/TLS, routing, firewall policies Cloud...