Top Artificial Intelligence Jobs

Serve as a trusted AI-focused cybersecurity advisor: design pragmatic AI security solutions, drive sales pipeline and proposals, provide thought leadership, collaborate with account/domain teams and partners, identify cross-sell/upsell opportunities, ensure delivery alignment, and evangelize AI security best practices at client and industry events.

Design and build AI-powered tools to accelerate incident detection, triage, root-cause analysis, and automation for Credit trading production. Partner with support, development, and AI teams to embed AI into workflows, maintain high availability, analyze logs/metrics, and measure reductions in MTTR and operational toil.

Lead evaluation, governance, and scaling of applied AI and workflow automation across the enterprise. Partner with business and technical teams to prioritize opportunities, support business cases, drive adoption and literacy initiatives, develop communications, track roadmap and outcomes, and support responsible AI, privacy, security, and compliance alignment.

Serve as an AI-first Technical Product Owner for mobile-first public safety solutions: own and prioritize mobile backlogs, write spec-driven user stories, manage sprint execution, define offline-first and API integrations, incorporate GIS capabilities, coordinate UAT and production triage, and collaborate across product, engineering, QA, and support to ensure reliable real-world performance.

Create and schedule public-facing content across Instagram, TikTok, X, LinkedIn, and Threads. Produce short-form video and graphics, write on-brand captions, engage the community, track performance and report weekly takeaways, and scout competitors/creators. Work directly with founders and may convert to full-time upon employer need.

Design, build, and productionize Applied AI foundations: model access, retrieval/memory, observability, secure data paths, human-in-the-loop workflows, and reusable AI-driven platform capabilities that support product and operational teams.

Lead development of AI-native production systems: convert AI-assisted prototypes into scalable, secure software; own architecture, reliability, and technical direction; direct and control AI coding agents; define engineering standards and workflows; collaborate with founders on product and strategy; debug complex issues and elevate engineering quality.

As a Senior Consultant, you will design and develop AI solutions using Anthropic models, support client engagements, and lead automation efforts while collaborating with delivery teams.

Lead strategy and roadmap for Canary's AI Voice conversational platform, prioritize improvements based on accuracy and performance, engage enterprise hotel clients, define KPIs (resolution, accuracy, latency, containment), and align engineering, AI/ML, infrastructure, sales, and customer success for scalable, high-availability deployments.

Lead the AI Voice product roadmap, monitor conversational AI performance (accuracy, resolution, latency), engage hotel clients to gather requirements, and coordinate cross-functional teams to prioritize reliability, scale, and rollout of new AI voice capabilities.

Support technical recruiting by coordinating interviews, managing candidate communications, collecting and aggregating interviewer feedback and assessment scores, and learning to source engineering talent from GitHub, Stack Overflow, and other technical communities. Assist with scheduling technical screens and pair-programming interviews and maintain candidate tracking and reporting.

Lead a cross-functional enterprise AI adoption program: design governance, prioritize AI use cases, run change management and enablement, measure adoption and ROI, manage vendor/tool alignment, and report progress to the C-suite and Board.

Build and maintain end-to-end mobile trading systems for iOS and Android. Ship production-quality, well-tested code, apply blockchain and crypto knowledge, and integrate AI tools to improve engineering workflows. Break down projects, collaborate cross-functionally, conduct and act on code reviews, mentor teammates, and participate in hiring and onboarding. Influence product decisions through data-driven insights and provide domain expertise for mobile trading initiatives.

Build the AI runtime for trustworthy agents: design orchestration, entity resolution, context assembly, connector orchestration, evidence retrieval, permissions and action policies. Own end-to-end features, prototype rapidly, implement evaluation frameworks, and collaborate with Product, Design, and Customer teams to deliver production-grade agent capabilities.

Design, deploy, and maintain on-prem AI infrastructure and agentic systems. Build GPU clusters, model serving, vector DB-backed RAG pipelines, fine-tune and deploy models, implement governance (MCP), and automate CI/CD and monitoring to integrate AI capabilities into enterprise workflows.

The role involves applied research in LLMs, developing evaluation frameworks, managing knowledge graphs, and collaborating with engineers for scalable AI solutions.

Lead vision, architecture, and delivery of an enterprise AI engineering platform. Align platform capabilities with engineering, security, and cost controls; enable self‑service AI tooling, governance, and production‑grade CI/CD for AI workflows; build and mentor a high‑performing platform team; and drive responsible, scalable adoption of AI across the company.

Conduct quantitative research to design and validate trading models, alpha signals, and analytics; apply statistical and ML methods to large financial datasets; develop research code and AI tools (Python, Matlab, SQL); collaborate with traders, SSA researchers, and academics to translate findings into scalable trading indicators and internal/client materials.

Lead AI-first strategy and architecture for Unified Communications, designing production-grade AI/ML solutions (NLP, agentic assistants) and scalable cloud-native MLOps across AWS/Azure/GCP, collaborating with engineering, product, and legal to deploy real-time mission-critical audio/video/data capabilities.

Lead design and delivery of secure, cloud-native AI/ML and data platforms for DoW test & evaluation. Architect AWS-based solutions, drive MLOps and DevSecOps practices, mentor teams, support cloud migration, implement CI/CD and automated testing, and apply Zero Trust and federal cybersecurity controls to mission workflows.

Lead end-to-end AI/ML projects: build, deploy, and maintain LLM/NLP and ML models in production. Translate business needs into technical plans, collaborate cross-functionally, apply MLOps and observability best practices, and improve model performance and reliability.

Lead product strategy and roadmap for WorkSolo's international AI creator platform. Design AI-native creation workflows, drive localization and market fit, run user research and experimentation, partner with AI/ML, design, engineering, and data teams, and own cross-functional execution and go-to-market readiness for overseas markets.

Lead strategic partnerships and channel development to grow WorkSolo internationally. Identify, negotiate, and close partnerships and integrations, develop go-to-market plans, manage partner lifecycle, track partnership performance, and collaborate with product and marketing to drive creator acquisition and revenue.

Evaluate and edit AI-generated scripts, design end-to-end content generation workflows, optimize AI writing skills and prompt patterns, and ensure culturally resonant, production-ready scripts for international audiences while collaborating with engineering and product teams.

Principal AI Forward-Deployed Engineer designs and builds production-grade AI and agentic systems, leads forward-deployed projects with business stakeholders, authors scalable cloud architectures (AWS), implements MLOps/DevOps best practices, and ensures operational excellence, security, and measurable business outcomes.