Sathees@tridentconsultinginc.com. Architecting, solutioning, and implementing scalable multi-agent orchestrated systems leveraging LLMs, LangChain/LangGraph, ACP, and RAG, with strong capabilities in agent design patterns, workflow orchestration, context/memory engineering, prompt and tool integration, and enterprise-grade observability, governance, and reliability. Job Summary: The Applied AI Scientist III is responsible for the development and application of cutting-edge advanced analytics solutions using emerging Artificial Intelligence (AI) technologies such as Agentic AI, Retrieval Augmented Generation (RAG), Large Language Models (LLMs), Natural Language Processing (NLP) and Generative AI solutions to enhance healthcare operations, patient care, and overall health plan performance and efficiency. Work closely with interdisciplinary teams across IT, risk adjustment, program integrity, HEDIS, healthcare operations, finance, and clinical departments to identify and capitalize on opportunities for data-driven innovative solutions using cutting-edge emerging technologies. Job Summary: The Director, Strategic Sourcing is responsible for the enterprise Strategic Sourcing function across all categories of vendor spend, including direct spend (supplemental benefits, care management, utilization management, etc.), indirect spend (operations, marketing, facilities, etc.) and IT (hardware, software, telecom, etc.). Manage and streamline the contracting process across a diverse and extensive vendor base, engaging in agreements such as delegated services agreements, master services agreements, business associate agreements, and more, to ensure best practices, risk mitigation, and strategic alignment. The Distinguished Engineer will act as the connective tissue between software execution teams, product and solution management, and business development, ensuring solutions are scalable, secure, and aligned with long-term innovation goals. Overview: FTI Defense delivers mission-focused solutions to the Department of Defense and Intelligence Community through advanced engineering, digital transformation, and program execution expertise. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. Design and deploy AI surrogate models using Graph Convolutional Neural Networks (GCNNs) to augment/replace physics-based CAE. li>This role serves as the primary coordination point across business owners, IT, data teams, and solution partners to ensure AI initiatives progress through defined lifecycle stages with appropriate readiness, transparency, and risk management. - Lead end-to-end execution of AI initiatives across the full lifecycle (intake production), ensuring alignment with enterprise governance, prioritization, and business objectives.
Beavercreek, Ohio14 days ago li class="x_MsoNormal">Experience following GitFlow and GitOps workflows using team repository (GitHub / Gitlab / etc.). Awetomaton is seeking a Senior AI / ML Engineer to grow our first onsite presence with existing customers in Beavercreek, OH. li>Minimum relvenat work experience: At least 10 ore more years based on education, of combined experience in data architecture, data governance, ontology development, semantic modeling, or related disciplines, supporting cross-functional initiatives spanning multiple business units and IT organizations. Through data steward education, workflow establishment, and close alignment with Control Tower governance processes, this role prevents fragmented, one-off data requests and ensures AI initiatives are supported by trusted data, shared meaning, and sustainable enterprise operations. You'll be part of a large community of AI professionals across the company and collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world-class solutions to transform how the Air Force manages its day-to-day business. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. Join ICOMAT - Revolutionising the Future of Lightweight Manufacturing! iCOMAT is an advanced manufacturing company that invented Rapid Tow Shearing (RTS) - the only proven technology for producing defect-free curved-fiber composite parts at industrial scale. Work alongside the Software Engineering and IT teams to design world-class data architecture, tools and processes that support the global adoption of iCOMAT's Rapid Tow Shearing technology. Beavercreek, OH30+ days ago The Leonardo DRS Airborne and Intelligence Systems business is a global leader and strategic partner committed to delivering world-class, full life-cycle defense and intelligence products that protect the security of our nation and our allies. This position will collaborate closely with Business Excellence, Site AI Leaders, and corporate AI leadership to implement AI-driven improvements that enhance operational performance, efficiency, and innovation. This role requires a Bachelor's degree in IT or related field, 3-7 years of relevant experience, and proficiency with Microsoft 365 and LAN/WAN systems. SelectTech Services Corporation in Springfield, Ohio is seeking an IT Support Specialist to optimize and lead internal technology. Required: One of the following: 10+ years of experience in technical consulting, client problem solving, and architecting and designing security solutions with Microsoft Azure and AI security technologies, including Microsoft Entra ID, Active Directory, Microsoft Defender for Office 365, Microsoft Defender for Cloud, Microsoft Defender for Cloud Apps, Microsoft Defender for Endpoint, Microsoft Purview, Microsoft Sentinel, Microsoft Defender XDR, and Microsoft Security Copilot; and experience leading project scope, pricing, and delivery across multiple concurrent proposals and projects. Building and automating secure cloud and machine learning operations (MLOps) pipelines using tools such as Azure Policy, Azure Resource Manager (ARM), Bicep, and Terraform to establish consistent security guardrails across Azure platforms and AI services. As a Cloud Security Consultant - Azure Infrastructure & AI on the Cloud Cyber Risk team, you will be responsible for: Supporting delivery of Azure cloud cyber risk engagements across governance, identity, application security, platform as a service security, infrastructure security, AI security, security monitoring, resilience, and data protection. Cybersecurity certification such as Certified Cloud Security Professional (CCSP), Certificate of Cloud Security Knowledge (CCSK), Certified Information Systems Security Professional (CISSP), Cisco Certified Network Professional (CCNP), or Cisco Certified Network Associate (CCNA). As a Cloud Security Senior Consultant - Azure Infrastructure & AI on the Cloud Cyber Risk team, you will be responsible for: Supporting delivery of Azure cloud cyber risk engagements across governance, identity, application security, platform as a service security, infrastructure security, AI security, security monitoring, resilience, and data protection. Cybersecurity certification such as Certified Cloud Security Professional (CCSP), Certificate of Cloud Security Knowledge (CCSK), Certified Information Systems Security Professional (CISSP), Cisco Certified Network Professional (CCNP), or Cisco Certified Network Associate (CCNA). p>Required: One of the following: 10+ years of experience in technical consulting, client problem solving, and architecting and designing security solutions with Microsoft Azure and AI security technologies, including Microsoft Entra ID, Active Directory, Microsoft Defender for Office 365, Microsoft Defender for Cloud, Microsoft Defender for Cloud Apps, Microsoft Defender for Endpoint, Microsoft Purview, Microsoft Sentinel, Microsoft Defender XDR, and Microsoft Security Copilot; and experience leading project scope, pricing, and delivery across multiple concurrent proposals and projects. - Building and automating secure cloud and machine learning operations (MLOps) pipelines using tools such as Azure Policy, Azure Resource Manager (ARM), Bicep, and Terraform to establish consistent security guardrails across Azure platforms and AI services.
li>Architect and deliver production-grade agentic AI and multi-agent applications using popular frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel; design patterns including orchestrator-agent hierarchies, RAG pipelines, tool-calling agents, and context/memory management. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Experience supporting governance, risk, and compliance workflows, including risk reporting, audit data requests, controls monitoring, controls testing, compliance metrics, governance, risk, and compliance tool integrations, and large language model-enabled applications using retrieval-augmented generation, vector or hybrid retrieval, tool or function calling, evaluation or monitoring, prompt-injection defenses, and secure access patterns. Developing AI-enabled capabilities that accelerate governance, risk, and compliance and cyber operations, including evidence summarization, control testing assist, policy question-and-answer, investigation copilots, ticket triage, and exception reasoning using agentic patterns, workflow orchestration, and retrieval-augmented generation. Marysville, OH17 days ago li>Be part of something bigger by joining one of our Employee Resource Groups focusing on diversity and inclusion, family, education and sustainability: Scotts Women's Network, Scotts Black Employees' Network, Scotts Veterans Network, Scotts Young Professionals, Scotts Pride Network (GroPride), Scotts Associates for a Greener Earth (SAGE), Scotts Family TREE and our Associate Boards. We are hiring a senior AI Engineer who can stand up the AI layer of our SAP landscape from day one - building Joule assistants and agents, designing AI workflows on SAP BTP AI Core / AI Launchpad, and turning SAP Business Data Cloud (BDC) data products into intelligent, agentic experiences. p>Prototype System Architecture • Lead the design and implementation of software architectures for complex research prototypes, including APIs, data pipelines, model integration layers, and evaluation frameworks. AI Systems Development and Deployment • Implement and integrate machine learning and AI models within experimental systems and research testbeds to support internal evaluation and integration with external systems for large-scale evaluation experiments and demonstrations. Marysville, OH30+ days ago Be part of something bigger by joining one of our Employee Resource Groups focusing on diversity and inclusion, family, education and sustainability: Scotts Women's Network, Scotts Black Employees' Network, Scotts Veterans Network, Scotts Young Professionals, Scotts Pride Network (GroPride), Scotts Associates for a Greener Earth (SAGE), Scotts Family TREE and our Associate Boards. - Where existing tools fall short, develop solutions across key use cases: process automation, forecasting and optimization, reporting and synthesis, natural language querying, document/workflow automation, and agentic workflows (proactive alerts, automated briefs, anomaly flagging). p>Key Responsibilities: Productization & Technical Maturation • Lead the technical maturation of advanced prototypes into production-ready systems, identifying gaps in architecture, scalability, reliability, and usability. Our mission is to drive the future of national security by engineering scalable solutions that fuse technological innovation with human potential to transform how individuals and teams train, develop, and perform in mission-critical environments. As a Lead Cloud Integrated Infra Engineer on the Silicon2Service team in Deloitte's AI & Engineering practice, you will design and drive deployment of fully integrated architectures for GPU-accelerated AI factories and high-performance computing infrastructure in close partnership with Deloitte AI specialists and our ecosystem partners. Help clients define future-state capability stacks aligned to NVIDIA and/or GCP ecosystems, including edge compute, AI model services, simulation platforms, vision services, data platforms, and enterprise integration layers. Beavercreek, OH30+ days ago Basic Qualifications: Experience developing AI solutions using LLMs, Agentic AI, CNNs, LSTMs, unsupervised learning, reinforcement learning, statistical modeling, AIML frameworks (PyTorch, Keras, Scikit-learn, etc), MLOps pipelines, Cloud services, ETL, training, fine-tuning, evaluation of AI solution, services, containers and container orchestration. • Apply machine learning algorithms to large sets of structured and unstructured data to solve a broad range of problems that include applications in pattern recognition, target detection and tracking, decision support systems, and robotic systems. Help clients define future-state capability stacks aligned to NVIDIA and/or GCP ecosystems, including edge compute, AI model services, simulation platforms, vision services, data platforms, and enterprise integration layers. The ideal candidate will bring deep expertise in Physical and Spatial AI, help define business or technology architecture, plan delivery for large-scale projects, oversee solution design and implementation, manage team progress, and ensure quality of work products. Help clients define future-state capability stacks aligned to NVIDIA and/or GCP ecosystems, including edge compute, AI model services, simulation platforms, vision services, data platforms, and enterprise integration layers. As an Associate VP at Deloitte, you are expected to bring deep expertise in Physical and Spatial AI, help define business or technology architecture, plan delivery for large-scale projects, oversee solution design and implementation, manage team progress, and ensure quality of work products. li>Integrating governance checkpoints into product and engineering delivery through architecture reviews, release gates, evaluation requirements, documentation automation, evidence capture, dashboards, and cross-functional collaboration with Cybersecurity, Privacy, Legal, Risk, Engineering, and Data Science teams. As a Senior Consultant, you will help clients and internal delivery teams move from AI principles to practices: risk tiering, model and agent inventories, technical guardrails, governance workflows integrated into the SDLC, and evidence artifacts suitable for audits and regulators. The ideal candidate combines deep technical expertise in GenAI architectures with the ability to evangelize, educate, and provide strategic guidance to cross-functional teams. This senior advisory role will work directly with the Program Manager to develop and execute a roadmap for AI integration, balancing innovation with practical constraints of the DoD environment. div class="flex max-w-full flex-col grow">AI Training Experts. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.Design, develop, and maintain AI/ML sandbox type environments Develop and optimize applications utilizing: • React • LibreChat • Jupyter (Jupyter or Notebooks) • Streamlit • Open Notebook Support application packaging, versioning, and release management processes Collaborate with platform, infrastructure, and security teams to support system requirements Implement best practices for scalability, reliability, and performance Troubleshoot application, database, and deployment issues in distributed environments Support continuous integration and deployment (CI/CD) pipelines Participate in system accreditation, compliance, and audit activities Document system designs, configurations, and operational procedures. Experience developing distributed or data-intensive applications Experience supporting DoD or Intelligence Community programs Experience with CI/CD tools and automation frameworks Familiarity with Infrastructure as Code tools Experience with performance tuning and database optimization Experience working in hybrid or air-gapped environments. The ideal candidate brings hands-on experience developing AI/ML environments, working with business / intelligence analysts to design, implement, and test AI/ML based analytic tools using one or more of the following frameworks: • Kubernetes & Docker • KubeFlow • MLFlow • Bedrock • FastAPI • Ray Train • Tune • Safe Tensors • ONNX. Develop and optimize applications utilizing: • Kubernetes & Docker • KubeFlow • MLFlow • Bedrock • FastAPI • Ray Train • Tune • Safe Tensors • ONNX. The ideal candidate brings hands-on experience developing AI/ML environments, working with business / intelligence analysts to design, implement, and test AI/ML based analytic tools using one or more of the following frameworks: • TensorFlow • PyTorch • Pytorch Lightning • Scikit-learn (aka SKLearn) • Keras • LangChain • vLLM. Develop and optimize applications utilizing: TensorFlow PyTorch Pytorch Lightning Scikit-learn (aka SKLearn) Keras LangChain vLLM. This role focuses on execution over oversight, ideal for an engineer who thrives in the code, enjoys building end-to-end pipelines, and takes pride in seeing their work directly impact operational systems. FTI is seeking a hands-on AI/ML Engineer (Builder/Doer) to design, build, and deploy advanced machine learning solutions supporting defense and national security missions. This role is for a hands-on engineer and someone who loves writing code, building systems end-to-end, and solving real-world technical challenges in secure, distributed environments. Frontier Technology Inc. (FTI) delivers mission-focused solutions to the Department of Defense and Intelligence Community through advanced engineering, digital transformation, and program execution expertise. p>#PlatformEngineering #Kubernetes #DevSecOps #AIInfrastructure #MachineLearningOps #CloudNative #DefenseTech #ClearedJobs #NationalSecurity #InfrastructureEngineering #DistributedSystems #Terraform #Docker #DataEngineering #MLOps. As a Platform Engineer, you will design and operate the infrastructure that enables AI/ML systems to function in real-world mission environments supporting classified, mission-critical programs. You will contribute across the development lifecycle supporting data processing, model creation, MLOps workflows, and the integration of scalable AI solutions into operational environments while working closely with senior engineers and mission partners. The Opportunity: As an Artificial Intelligence and Machine Learning (AI/ML) Engineer, you will help design, build, and implement practical AI/ML capabilities that enhance mission systems and support faster, more informed decision-making across the national security ecosystem. p>Rackner engineers and technical teams collaborate closely with leadership, program teams, and mission stakeholders to design, demonstrate, and improve software systems that address complex operational challenges. Demonstrated ability to solve complex problems involving data workflows, algorithms, AI/ML systems, simulations, pipelines, integrations, or applied R&D. The right candidate blends deep AI/ML engineering expertise with system-level architecture leadership and an ability to unify data engineering, simulation modeling, and responsible AI principles into scalable, mission-ready capabilities. FTI is seeking a Distinguished AI/ML Engineer to serve as a technical leader, architect, and integrator - designing, building, deploying, and sustaining AI systems that transform complex mission data into trusted, explainable insights. This role will focus on building scalable models, developing training pipelines, and collaborating with cross-functional teams to deliver impactful AI-driven solutions. Rackner is seeking a highly skilled AI/ML Engineer to design, develop, and deploy advanced machine learning solutions that support mission-critical systems. p>#MLOps #MachineLearning #Kubernetes #AIEngineering #CloudNative #DevSecOps #ArtificialIntelligence #DataEngineering #DefenseTech #NationalSecurity #AIInfrastructure #Hiring #TechCareers. We are seeking an MLOps Engineer to support the deployment and lifecycle management of AI/ML systems within a secure, mission-focused environment. p>5 years of software engineering experience with a strong background in the following: • Collecting labeled data and Neural Network (NN) training • Programming: Python, PyTorch, TensorFlow, Keras • Satellite imagery, image processing, and geospatial-temporal image data • Geospatial vector graphics and Self-Organizing Map (SOM) data • Computer vision, Vector embedding, and similarity search • CI/CD, AWS, and ML Ops pipelines • Graph database concepts and PostgreSQL databases with vector store (pgVector), audit (pgAudit), edit (pgAdmin), and geographic (PostGIS) capability • Acquiring data and data wrangling for NN and transformer training and prompting • Automated data pulling from web-based Application Programming Interfaces (API) • Graph Neural Network (GNN) and Point Transformers (PT), training GNNs and PTs, and extracting embedding vectors and likelihoods • Vision Transformer frameworks, training transformers, and extracting embedding vectors and likelihoods • Large Language Models (LLM) and implementing templates to guide responses • Vision Language Models (VLM) and Visual Question Answering (VQA). What You'll Do: Design and train neural networks for various applications Analyze and manipulate multi-dimensional tabular, meta-, and geospatial imagery data Interpret results and compare with truth data Conduct post processing and data reduction Write analysis reports and create briefings Work independently and within a team of multi-disciplined engineers and provide guidance and support to colleagues. p>10 years of software engineering experience with a strong background in the following: • Collecting labeled data and Neural Network (NN) training • Programming: Python, C++, MATLAB, PyTorch, TensorFlow, Keras • Satellite imagery, image processing, and geospatial-temporal image data • Geospatial Self-Organizing Map (SOM) data • Geospatial vector graphics and multi-modal dataset integration • Computer vision such as object detection and segmentation • Vector embedding, similarity search, and RAG architectures • Database schema design and large-scale geospatial data • CI/CD, AWS, and ML Ops pipelines • Building graph databases • Building PostgreSQL databases with vector store (pgVector), audit (pgAudit), edit (pgAdmin), and geographic (PostGIS) capability • Acquiring data and data wrangling for NN and transformer training and prompting • Graph Neural Network (GNN) frameworks, training GNNs, and extracting embedding vectors and likelihoods • Building Vision Transformer framework, training transformers, and extracting embedding vectors and likelihoods • Large Language Models (LLM) and implementing templates to guide responses • Vision Language Models (VLM) and Visual Question Answering (VQA) - experience with CLIP and LLaVA is a plus. Epsilon C5I, a 100% employee-owned company founded in 1998, is seeking a Senior AI/ML Engineer (SE4) to join our team as we advance the State-of-the-Art in artificial intelligence for the intelligence community and autonomy applications. |