Design and implement end-to-end AI-powered products, including frontend interfaces, backend services, and AI/ML integrations. Collaborate with cross-functional teams to ship scalable features that optimize real estate asset management and leasing.
Remote Artificial Intelligence Jobs (9,419)
Search = ai
Job category = Software Development
Design and implement AI-driven document processing and search solutions using Azure AI Search and RAG architectures. Manage containerized deployments via AKS and optimize vector search and query orchestration for intelligent knowledge retrieval.
Lead the transition of the card operations AI agent from internal pilot to a production-grade system. Expand agent capabilities into accounting automation and policy enablement while ensuring reliability, safety, and cost-efficiency.
Create and edit visual assets for video production using a blend of traditional editing software and emerging generative AI tools. Collaborate with creative teams to translate storyboards into high-quality, visually consistent video content.
Build and deploy end-to-end AI operating layers and automated workflows to solve high-value business problems. Own the complete production outcome from discovery and design to evaluation and scaling across multiple niches.
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Drive the application of AI within Health Information Systems, specifically across Electronic Medical Records and Patient Administration Systems. Manage the full product lifecycle from ideation and roadmap definition to launch and performance monitoring.
The AI Transformation Manager identifies and prioritizes AI use cases to create commercial value across various business units. They drive the implementation of AI tools, build organizational capability through training, and define group-wide AI governance.
Lead the design, development, and deployment of advanced AI systems and scalable LLM-driven applications. Act as a technical authority for clients while mentoring peers and supporting presales activities.
Sr Engineering Manager - Advanced AI (Applied ML, LLMs, Deep Learning)
Target
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Full Time
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2 Weeks Ago
Target
Lead a full-stack engineering team to build, deploy, and maintain scalable, production-grade AI/ML applications. Guide technical decisions across architecture and infrastructure while managing stakeholders and mentoring a diverse team of engineers.
Develop AI-based applications and implement solutions using LLMs and agentic workflows. Focus on migrating traditional applications to AI-driven architectures and automating business processes.
Vice President, Customer Strategy, AI & Transformation
ABC Financial Services
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Full Time
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2 Weeks Ago
ABC Financial Services
Lead the strategic transformation of the global Customer Support organization by designing an AI-first operating model. Align cross-functional executive stakeholders to implement a multi-year roadmap focused on AI adoption and organizational effectiveness.
Design, implement, and operate DeVry's enterprise AI platform using the Microsoft AI ecosystem. Create reusable AI services, agent frameworks, and reference architectures to support university-wide business solutions.
Lead AI transformation for customers by guiding them through the adoption of Azure's advanced AI and cloud capabilities. Manage the full sales lifecycle, including pipeline hygiene, partner orchestration, and strategic alignment with customer business objectives.
The role focuses on supporting Emiri client deployments by bridging the gap between product support, user experience, and development. Key duties include identifying root causes of issues, coaching commercial teams on AI functionality, and influencing the product roadmap based on customer feedback.
Lead the AI strategy, data platform direction, and enterprise architecture to modernize technical capabilities across the Product and Engineering organization. Partner with cross-functional stakeholders to implement scalable, secure, and responsible AI solutions that improve healthcare outcomes and operational productivity.
Senior Full Stack Developer – Agentic AI (Temporary)
EX Squared
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Full Time
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2 Weeks Ago
EX Squared
Build and maintain a catalog of AI agents to support the software development lifecycle, including code generation and QA workflows. Develop full-stack applications using React, Node.js, and TypeScript while integrating agents with internal systems and SaaS platforms.
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The AI Research Engineer designs and evaluates safety assessment systems for large language models and NLP algorithms. This includes conducting literature reviews, coding text analytics, and publishing research results in peer-reviewed journals.
Solution Architect - Applied AI Practice (Pre-Sales) (Remote)
Bryant Park Consulting
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Full Time
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2 Weeks Ago
Bryant Park Consulting
Lead the end-to-end sales cycle for the Applied AI practice, from sourcing opportunities to designing agent architectures and closing engagements. Act as a technical advisor to translate operational pain points into scalable AI agent solutions and oversee the transition to delivery.
Lead the design and delivery of enterprise-grade generative and agentic AI systems using AWS-native architectures. Serve as a strategic technical advisor to clients, ensuring solutions align with the AWS Well-Architected Framework and deliver business value.
Own the measurement and quality assurance of AI-generated financial advice by defining evaluation sets and analyzing scoring results. Translate findings into actionable recommendations for the AI/ML team to improve system performance and scale.
AI Solution Architect, Public Sector domain
NTT DATA Services
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Full Time
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2 Weeks Ago
NTT DATA Services
Design and deliver end-to-end AI and generative AI solutions tailored for state, local, and education (SLED) agencies. Partner with public sector executives to translate operational challenges into scalable, responsible AI-enabled architectures and implementation roadmaps.
The role involves managing the company's privacy program and establishing a responsible AI governance framework. This includes coordinating with cross-functional teams to ensure compliance with privacy laws and monitoring the evolving AI regulatory landscape.
AI Innovation Specialist
Ensemble Health Partners
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Full Time
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2 Weeks Ago
Ensemble Health Partners
Identify and automate manual workflows using AI tools and process optimization techniques. Analyze operational data to develop AI-assisted solutions and translate insights into actionable business recommendations.
The specialist will optimize the company website to improve buyer attraction and conversion using AI, behavioral analytics, and experimentation. They will develop AI-assisted workflows and ensure web content is optimized for AI-powered search engines and assistants.
Design and deploy GPU-accelerated AI solutions and industrial digital twins for energy operations across power generation, grid, and oil & gas sectors. Act as a technical advisor to integrate NVIDIA platforms into control rooms and field environments to solve last-mile deployment challenges.
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Senior Staff Technical Delivery Manager - Platform, AI, and Infrastructure
BILL
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Full Time
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2 Weeks Ago
BILL
Serve as the operational partner to the VP of Engineering to manage the roadmap and execution of Platform, AI, and Infrastructure initiatives. Lead high-complexity programs and translate technical progress into actionable communication for executive stakeholders.
Solution Architect AI & ML for Healthcare solutions
NTT DATA Services
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Full Time
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2 Weeks Ago
NTT DATA Services
Design and deliver end-to-end AI, ML, and Generative AI solutions tailored for healthcare providers and clinical workflows. Partner with stakeholders to translate business challenges into scalable technical architectures and lead the transition from prototype to production.
Lead the strategy and architecture of GTM and finance systems, including Salesforce, NetSuite, and Snowflake. Design and optimize autonomous AI agents using Agentforce to automate workflows and improve the customer journey.
Design and develop Agentic AI solutions to automate complex enrollment and benefits administration exceptions. Modernize rule engines by combining deterministic business rules with probabilistic AI reasoning and implementing scalable MLOps pipelines.
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