Top Artificial Intelligence Jobs

Lead product and brand design on a freelance basis: produce developer-ready UX/UI in Figma, build and maintain design systems, craft intuitive user flows, conduct design research, collaborate with PMs and developers, and ensure on-brand visual assets across product and marketing.

Build and deploy AI agents for finance customers by configuring workflows, tuning prompts and models, and integrating enterprise finance systems. Partner with finance teams to identify high-value use cases, improve onboarding and customer journeys, create usage analytics and health frameworks, and inform go-to-market and expansion strategies. The role requires strong finance and accounting knowledge, SQL proficiency, comfort with customer data and BI tools, and the ability to work independently in a fast-paced startup environment.

Architects and operates scalable customer-hosted cloud and on-premises deployments. Owns high-severity incident resolution, develops automated deployment pipelines and safeguards, builds observability systems, and creates internal tooling to improve developer velocity, reliability, and security. The role requires production Kubernetes and cloud infrastructure experience, strong Linux, networking, and infrastructure-as-code fundamentals, customer communication, and familiarity with AWS, Terraform, GitOps, IAM, and observability tools.

Develop and govern MBSE and SysML digital models for defense and space mission systems while applying Python, SQL, statistics, visualization, and machine learning to engineering and operational data. Establish digital-thread traceability, data architectures, requirements relationships, technical baselines, and explainable analytics. Support trade studies, capability assessments, AI/ML evaluation, architecture decisions, Agile and DevSecOps delivery, and collaboration with systems engineers, architects, operators, cybersecurity teams, and government stakeholders.

Lead new business development for EnerKnol by prospecting energy-sector accounts, delivering tailored SaaS demos, managing complex multi-stakeholder deals, and converting trial users into enterprise customers while building strategic relationships and market workshops.

Own the technical sales cycle for Vidmob’s creative data and AI solutions, including discovery, solution design, demonstrations, workshops, proofs of concept, RFPs, and enterprise evaluations. Scope implementations, prototype API and MCP integrations, build SQL or Python integrations, and support customer adoption. Partner with sales, product, engineering, data science, and account teams while enabling go-to-market teams on DaaS solutions and translating customer insights into scalable technical resources.

Characterize inertial and environmental sensors for AR/VR and wearable hardware. Define and execute benchtop tests, analyze bias, drift, noise, scale factor, sensitivity, cross-axis coupling, and temperature dependence, perform Allan variance and rate-table testing, develop calibration routines, automate measurements with MATLAB and Python, and produce reports supporting hardware and firmware decisions.

Drive new-client acquisition and revenue growth by prospecting executives, building sales pipelines, conducting discovery, selling consulting, staffing, technology, nearshore, and BPO solutions, developing proposals, negotiating agreements, closing deals, and expanding client relationships. Partner with recruiting, operations, and leadership to support delivery while maintaining forecasts, sales metrics, and pipeline accuracy.

Own the full sales cycle for new advertisers, including outbound prospecting, relationship development, discovery, pitching, negotiation, closing, onboarding, pipeline management, forecasting, and revenue target achievement. Build relationships with brands, agencies, and marketing decision-makers while translating client objectives into effective digital advertising solutions. Collaborate with Sales, Ad Operations, and Product teams to support campaign success, retention, and revenue growth.

The Forward Deployed Engineer partners with enterprise clients to identify AI opportunities and deliver production-ready solutions. Responsibilities include building forecasting, optimization, clustering, anomaly detection, generative AI, and agent-based systems; defining data and modeling strategies; implementing monitoring, retraining, and governance; and supporting organizational adoption. The role contributes to multiple implementations while collaborating with BI, Finance, Operations, and business stakeholders.