{"schemaVersion":"jobsearcher.job.v1","id":"ff6993d01f7b9aa2a272ba3e","url":"https://jobsearcher.com/jobs/ff6993d01f7b9aa2a272ba3e","canonicalUrl":"https://jobsearcher.com/jobs/ff6993d01f7b9aa2a272ba3e","title":"AI/ML Solutions Architect","description":"Job ID:\nJ51875\nJob Title:\nAI/ML Solutions Architect\nLocation:\nWashington D.C, DC\nDuration:\n12 Months + Extension\nHourly Rate:\nDepending on Experience (DOE)\nWork Authorization:\nUS Citizen, Green Card, OPT-EAD, CPT, H-1B,\nH4-EAD, L2-EAD, GC-EAD\nClient:\nTo Be Discussed Later\nEmployment Type:\nW-2, 1099, C2C\n\nJob Description :\n\nThe AI/ML Solutions Architect will be instrumental in designing and implementing end-to-end artificial intelligence and machine learning solutions for a key Randstad client in the DC area. This role requires an expert-level blend of advanced AI/ML model development (including Generative AI/LLMs, deep learning, and traditional ML), modern software engineering practices, and robust MLOps principles. The Architect will drive platform adoption using Databricks, ensure models are securely deployed via cloud platforms (AWS/Azure) using Docker/Kubernetes and FastAPI, and serve as a technical leader and mentor to junior team members, ultimately enabling self-service capabilities and accelerating the business adoption of scalable AI/ML solutions.\nResponsibilities\nArchitect and Develop AI/ML Solutions: Design, implement, and deploy advanced supervised and unsupervised models (regression, classification, clustering, time-series forecasting, boosting methods) and complex neural networks (CNNs, RNNs, LSTMs).\nLead Generative AI Initiatives: Develop and integrate solutions powered by LLMs and open-source foundation models, applying expertise in prompt engineering, fine-tuning techniques (LoRA, PEFT), and model optimization for performance, latency, and cost.\nImplement MLOps and Deployment Pipelines: Manage the full model lifecycle and deployment strategy, including model serialization (Pickle, Joblib, ONNX), containerization with Docker and Kubernetes, and building secure, scalable endpoints using FastAPI and serverless functions.\nChampion Platform Enablement: Drive adoption and utilization of the Databricks platform to accelerate use case development, promote model automation, facilitate AutoML, and create reusable template-based solutions.\nAdhere to Software Engineering Excellence: Write highly efficient, maintainable Python code (advanced Python skills required), utilizing tools like JupyterLab and VSCode, and enforce Git version control and best practices for testing and quality assurance.\nDevelop User-Facing AI Applications: Build front-end tools and prototypes using Streamlit alongside standard front-end technologies (HTML/CSS/JavaScript) to demonstrate AI capabilities to business users.\nProvide Technical Leadership & Mentorship: Collaborate effectively with cross-functional teams, mentor junior engineers and data scientists, and establish governance standards for data quality, solution accessibility, and business adoption of AI/ML practices.\nQualifications\nAdvanced proficiency in Python (specifically for machine learning) and extensive experience with core AI/ML open-source libraries, including scikit-learn, PyTorch, pandas, polars, NumPy, and seaborn.\nProven experience designing and deploying end-to-end AI/ML systems, with a strong emphasis on MLOps principles and tools (Docker, Kubernetes, Git).\nDeep expertise in developing and optimizing Generative AI solutions using LLMs and foundation models, including hands-on experience with fine-tuning (e.g., LoRA) and performance optimization.\nExpertise in cloud platform deployment and infrastructure management on major cloud providers (AWS and/or Azure).\nStrong functional knowledge of Databricks for data processing, platform management, and accelerating AI/ML development.\nExperience in data processing, feature engineering, advanced visualization, and communicating complex insights effectively through storytelling.\nDemonstrated Systems Thinking approach to problem-solving, with the ability to translate high-level business goals into secure, scalable, and viable technical architectures.\nExcellent communication, collaboration, and mentorship skills, with a track record of driving best practices and team improvement.\n\nEqual Opportunity Employer\n\nROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract","company":"Robotics Technologies","rawCompany":"robotics technologies","city":"Washington","state":"DC","isRemote":false,"isActive":false,"createdAt":"2026-07-16T15:15:31.037Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI/ML Solutions Architect","description":"Job ID:\nJ51875\nJob Title:\nAI/ML Solutions Architect\nLocation:\nWashington D.C, DC\nDuration:\n12 Months + Extension\nHourly Rate:\nDepending on Experience (DOE)\nWork Authorization:\nUS Citizen, Green Card, OPT-EAD, CPT, H-1B,\nH4-EAD, L2-EAD, GC-EAD\nClient:\nTo Be Discussed Later\nEmployment Type:\nW-2, 1099, C2C\n\nJob Description :\n\nThe AI/ML Solutions Architect will be instrumental in designing and implementing end-to-end artificial intelligence and machine learning solutions for a key Randstad client in the DC area. This role requires an expert-level blend of advanced AI/ML model development (including Generative AI/LLMs, deep learning, and traditional ML), modern software engineering practices, and robust MLOps principles. The Architect will drive platform adoption using Databricks, ensure models are securely deployed via cloud platforms (AWS/Azure) using Docker/Kubernetes and FastAPI, and serve as a technical leader and mentor to junior team members, ultimately enabling self-service capabilities and accelerating the business adoption of scalable AI/ML solutions.\nResponsibilities\nArchitect and Develop AI/ML Solutions: Design, implement, and deploy advanced supervised and unsupervised models (regression, classification, clustering, time-series forecasting, boosting methods) and complex neural networks (CNNs, RNNs, LSTMs).\nLead Generative AI Initiatives: Develop and integrate solutions powered by LLMs and open-source foundation models, applying expertise in prompt engineering, fine-tuning techniques (LoRA, PEFT), and model optimization for performance, latency, and cost.\nImplement MLOps and Deployment Pipelines: Manage the full model lifecycle and deployment strategy, including model serialization (Pickle, Joblib, ONNX), containerization with Docker and Kubernetes, and building secure, scalable endpoints using FastAPI and serverless functions.\nChampion Platform Enablement: Drive adoption and utilization of the Databricks platform to accelerate use case development, promote model automation, facilitate AutoML, and create reusable template-based solutions.\nAdhere to Software Engineering Excellence: Write highly efficient, maintainable Python code (advanced Python skills required), utilizing tools like JupyterLab and VSCode, and enforce Git version control and best practices for testing and quality assurance.\nDevelop User-Facing AI Applications: Build front-end tools and prototypes using Streamlit alongside standard front-end technologies (HTML/CSS/JavaScript) to demonstrate AI capabilities to business users.\nProvide Technical Leadership & Mentorship: Collaborate effectively with cross-functional teams, mentor junior engineers and data scientists, and establish governance standards for data quality, solution accessibility, and business adoption of AI/ML practices.\nQualifications\nAdvanced proficiency in Python (specifically for machine learning) and extensive experience with core AI/ML open-source libraries, including scikit-learn, PyTorch, pandas, polars, NumPy, and seaborn.\nProven experience designing and deploying end-to-end AI/ML systems, with a strong emphasis on MLOps principles and tools (Docker, Kubernetes, Git).\nDeep expertise in developing and optimizing Generative AI solutions using LLMs and foundation models, including hands-on experience with fine-tuning (e.g., LoRA) and performance optimization.\nExpertise in cloud platform deployment and infrastructure management on major cloud providers (AWS and/or Azure).\nStrong functional knowledge of Databricks for data processing, platform management, and accelerating AI/ML development.\nExperience in data processing, feature engineering, advanced visualization, and communicating complex insights effectively through storytelling.\nDemonstrated Systems Thinking approach to problem-solving, with the ability to translate high-level business goals into secure, scalable, and viable technical architectures.\nExcellent communication, collaboration, and mentorship skills, with a track record of driving best practices and team improvement.\n\nEqual Opportunity Employer\n\nROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract","datePosted":"2026-07-16T15:15:31.037Z","dateModified":"2026-07-16T15:15:31.037Z","hiringOrganization":{"@type":"Organization","name":"Robotics Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington","addressRegion":"DC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ff6993d01f7b9aa2a272ba3e"},"url":"https://jobsearcher.com/jobs/ff6993d01f7b9aa2a272ba3e"}}