Top Artificial Intelligence Jobs

Engineering Manager, Applied AI leads and coaches engineers while remaining hands-on on client engagements. Responsibilities include reviewing architecture, agent, prompt, and evaluation designs; resolving technical and client challenges; managing staffing and delivery; hiring and onboarding engineers; and improving engineering practices. The role requires strong software engineering experience, Python expertise, client-facing delivery experience, and familiarity with agents, evaluations, multi-agent systems, and AI coding tools.

Design and operate Trajectory’s recruiting system, including talent identification, engagement, outreach, interview pipelines, candidate closing, recruiting events, funnel metrics, and AI-powered automation. The role partners closely with founders to attract exceptional technical candidates and creates scalable processes for sourcing, assessing, and hiring talent.

Own revenue enablement across onboarding, ramp, certifications, coaching, GTM communications, systems, and AI infrastructure. Run multi-week enablement programs for sales, post-sales, and SDR teams; track productivity and ramp metrics; lead methodology and tooling change management; and build AI-assisted internal tools and automations. Partner closely with Post-Sales, Product, managers, and global GTM teams in a fast-growing B2B technology company.

Own mechanical and environmental testing across the spacecraft lifecycle, including materials and component testing, vibration campaigns, thermal vacuum testing, qualification, and verification. Develop fixtures, instrumentation, procedures, and data acquisition systems; analyze test data, resolve anomalies, and drive design improvements. Collaborate across engineering, manufacturing, vendors, and test facilities while establishing scalable spacecraft test capabilities and standards.

Own the architecture and technical direction of agentic AI platforms and intelligent applications across web, mobile, backend, conversational, and voice interfaces. Define agent orchestration, tool integration, retrieval, memory, evaluation, observability, security, and governance standards. Lead client-facing solution architecture, establish reusable frameworks and reference architectures, and guide teams on model selection and reliability, cost, latency, and security tradeoffs. Prototype complex solutions while shaping organization-wide technical direction.

Own and resolve technical support tickets across multiple channels, troubleshoot logs, APIs, networking, and product issues, communicate with customers, manage escalations and incident response, maintain documentation and SLAs, automate support workflows, draft RCAs, and provide structured feedback to product and engineering teams.

Conduct research on frontier AI systems, including synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarking, and evaluation. Design rigorous experiments, datasets, prototypes, tooling, and research workflows; train and assess models; analyze results; and translate findings into scalable AI products. Collaborate across research, engineering, product, and operations teams, communicate technical conclusions, contribute to publications or open-source work, and mentor engineers and researchers.

Build and operate WISEcode’s food data lakehouse using Python, SQL, DuckLake, S3 Parquet, Postgres, and Prefect. Responsibilities include source ingestion, entity resolution, pipeline consolidation, data enrichment, downstream connectors, data quality reporting, configuration discipline, and architectural documentation. The role requires designing and shipping production lakehouse or warehouse systems, managing scalable API-driven pipelines, and collaborating closely with engineers in a fully remote environment.

Own and grow a defined home health sales territory while managing a personal account portfolio and coaching 2–5 sales representatives. Build relationships with discharge planners, case managers, and facility leaders to drive referrals and admissions. Execute data-driven territory plans, conduct pipeline reviews, track performance metrics, develop reps through coaching and ride-alongs, and report insights to the Regional Sales Manager. The role offers a path to Regional Sales Manager.

Own end-to-end implementations for healthcare technology clients, including workflow discovery, EHR integrations, AI configuration, testing, training, go-live, and hypercare. Manage timelines, scope, risks, stakeholders, and client communications while coordinating hospital leaders, IT teams, Product, Engineering, Training, and Customer Success. Improve implementation playbooks, accelerate time to value, track satisfaction, and ensure successful handoff after launch.