Design and implement Generative AI products and Agentic AI solutions using Python, LangChain, and LangGraph. Collaborate with cross-functional teams to integrate AI models into existing systems and optimize them for performance and scalability.
Remote Artificial Intelligence Jobs (6,191)
Search = ai
Job category = Software Development
Senior Machine Learning Engineer, AI Generation Engine
SandboxAQ
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Full Time
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2 Weeks Ago
SandboxAQ
Design and manage robust data pipelines and develop novel ML models for Large Quantitative Models and agentic frameworks. Collaborate with cross-functional teams to translate business objectives into actionable ML development and production roadmaps.
Lead the AI Platform team to build and orchestrate the AI infrastructure connecting product experiences to banking core systems. This role involves developing internal AI tools for operations and compliance while setting the overall technical direction for AI across the company.
Lead the design and delivery of AI-powered product features, focusing on LLM-based systems for real-time coaching and recommendations. Architect scalable, low-latency AI systems and establish best practices for evaluation and monitoring across the engineering organization.
Lead the technical direction and architecture of enterprise agentic AI systems, balancing hands-on production coding with strategic planning. You will build internal AI tooling, establish engineering standards, and enable other teams to deploy AI solutions safely.
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The role involves designing and implementing AI-enabled workflows and custom AI agents to optimize marketing productivity. You will act as a bridge between generative AI technology and day-to-day marketing operations to eliminate manual bottlenecks.
Lead end-to-end AI risk functions by evaluating AI tools and vendors and architecting governance frameworks. Serve as the internal expert to guide the firm's responsible adoption of AI technology across various practice groups.
The role involves architecting and securing AI infrastructure, including designing secure LLM pipelines and evaluating MCP server integrations. The engineer will lead AI threat modeling, red teaming, and establish security guardrails for AI-powered tools across the firm.
Drive the product vision and roadmap for an AI agent platform designed to reduce administrative burdens for frontline care managers. Collaborate with clinical operations and engineering to build agentic infrastructure that improves healthcare outcomes for safety-net populations.
Drive the practical adoption of AI tools and processes across all non-R&D business operations to improve organizational efficiency. This includes identifying high-impact use cases, deploying AI-driven solutions, and establishing governance standards for ethical AI use.
NVP Sales, Cloud & AI Enabled Solutions
NextGen Federal Systems
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Full Time
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2 Weeks Ago
NextGen Federal Systems
Lead the strategy and execution of enterprise sales for managed cloud and AI-enabled healthcare solutions to drive net-new and expansion revenue. Build and manage a high-performing sales engineering organization while refining go-to-market messaging and product roadmaps.
The AI Enablement Specialist evaluates and implements AI technology and process improvements to enhance legal service delivery. This role involves collaborating with practice groups to translate practitioner needs into practical, technology-enabled solutions.
Own the go-to-market strategy for data center management solutions across enterprise and strategic accounts. Collaborate with sales, product management, and engineering to identify opportunities and shape the product roadmap based on field feedback.
Coordinate and prioritize security tests for LLM-based applications, focusing on prompt injection, jailbreaks, and data leakage. Monitor AI security controls and lead the evolution of testing suites and tools to ensure the safety of AI agents and platforms.
Sr. Product Manager Education, AI & Professional Development 178 APPLICANTS
Colibri Group
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Full Time
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2 Weeks Ago
Colibri Group
The Senior Product Manager owns the strategy, roadmap, and P&L for the Professional Development and AI product lines. They are responsible for translating AI capabilities into scalable learning experiences and driving business outcomes like revenue and learner retention.
Lead the architecture, engineering, and deployment of enterprise-grade AI and GenAI solutions for clients. Bridge the gap between business strategy and technical execution by guiding engineering teams and establishing production-grade AI standards.
Lead client engagements to identify, prioritize, and operationalize AI opportunities through strategic roadmaps and governance frameworks. Drive the development of go-to-market AI offerings and mentor team members within the Strategy practice.
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Transformational Consultant (AI)
Computacenter AG & Co. oHG
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Full Time
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2 Weeks Ago
Computacenter AG & Co. oHG
Lead the end-to-end execution of large-scale networking and AI data center projects, specifically focusing on NVIDIA scale implementations. Partner with business leaders and technical teams to drive strategy, optimize cluster performance, and ensure customer satisfaction.
AI Principal Consultant
Computacenter AG & Co. oHG
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Full Time
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2 Weeks Ago
Computacenter AG & Co. oHG
Design and implement high-performance distributed InfiniBand and Ethernet networks for large-scale AI clusters and data centers. Partner with business leaders to optimize GPU utilization and ensure training stability for accelerated computing workloads.
Security Software Engineer, AI & Automation - Canada
NerdWallet
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Full Time
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2 Weeks Ago
NerdWallet
Design and build AI-powered security systems and multi-agent LLM architectures to automate threat modeling and vulnerability analysis. Partner with engineering teams to integrate security guidance into workflows and enhance the secure software development lifecycle.
![CI&T is hiring for remote [Job-29470] Master AI Developer, Brazil](/assets/96be70cc-b65f-449c-9299-d619efa70efb.png){kind=small}
Lead the end-to-end lifecycle of AI agent features, from refining business requirements to building infrastructure and monitoring. Design and evolve AI orchestration frameworks while collaborating with international clients to automate complex workflows.
Advisory AI Data Specialist (FDE Unit)
Dell Technologies
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Full Time
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2 Weeks Ago
Dell Technologies
Lead data readiness assessments and build secure, scalable data pipelines to support AI and GenAI workloads on Dell infrastructure. Collaborate with architects and stakeholders to align data governance and integration patterns with overall AI priorities.
Review photos of damaged vehicles to mark affected areas such as scratches, dents, and cracks. Identify the specific car parts involved to assist insurance customers with damage assessments.
Lead the AI Operations team to design, ship, and scale AI agents and automations for internal operational efficiency. Act as an internal consultant to help engineering teams integrate AI into customer-facing products.
Lead the AI Ops team to design, ship, and scale AI agents and automations for internal operations. Act as an internal consultant to help software engineering teams integrate AI into customer-facing products.
Design and build AI-powered security systems, including multi-agent LLM systems and RAG pipelines, to automate threat modeling and vulnerability analysis. Partner with engineering teams to embed security guidance into workflows and improve the overall secure software development lifecycle.
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Lead the design and architecture of scalable backend systems and product features using Python and FastAPI. Mentor fellow engineers and collaborate with cross-functional teams to ship end-to-end features within an Agile lifecycle.
Design and architect production-ready AI systems and RAG strategies to enhance customer experience orchestration. Drive strategic AI opportunities through pre-sales activities, technical demonstrations, and the creation of reusable field assets.
Senior Director, Global Head of Solution Development & AI Platforms
Unisys
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Full Time
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2 Weeks Ago
Unisys
Lead the architecture, development, and scaling of AI-powered software platforms and the Service Experience Accelerator (SEA). Manage the full engineering lifecycle, including hands-on coding, AI/ML integration, and global team leadership.
Design, implement, and maintain large-scale HPC/AI clusters including monitoring, logging, and workload orchestration. Develop automation tooling for deployment and provide technical insights for system design and performance tuning.
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