Top Artificial Intelligence Jobs

Own full-cycle, consultative sales for Rox’s AI-native revenue platform, from pipeline generation and qualification through technical validation, negotiation, and close. Build relationships with founders, executives, and go-to-market leaders; understand prospects’ revenue workflows, data environments, and AI strategies; translate technical capabilities into business value; partner with Product and Solutions on evaluations and integrations; and help develop scalable messaging, processes, and sales playbooks.

Oversee quality optimization for an AI-powered operations platform, conducting property and workflow audits, identifying process drift and compliance gaps, maintaining SOPs, and driving remediation. The role develops audit scoring frameworks, evaluates resident service metrics and ticketing quality, collaborates with operations, systems, and analytics teams, and delivers evidence-based reporting and accountability recommendations to leadership.

Leads SHI’s AI Sales & Solutions organization, developing customer-focused AI solutions and scaling a team of AI Advisors. The role drives pipeline generation, opportunity qualification, sales methodologies, partner alignment, solution portfolio management, executive engagement, and AI adoption across public sector, enterprise, global, and commercial markets. Success is measured by pipeline growth, conversion, revenue, margins, and customer outcomes.

Design and build a production multi-agent LLM framework and LLM-powered pipelines (text-to-SQL, NLU, structured reasoning). Implement RAG, prompt systems, evaluation and CI/CD for AI features, instrument and optimize model performance, and collaborate with product to deliver user-facing capabilities.

Develop customer-specific AI solutions for consequential business decisions. Investigate internal and public information, evaluate evidence, identify uncertainty, and design reliable AI workflows. Work directly with customers to understand needs, prototype solutions, test them with users, and improve their usefulness. Translate successful workflows into repeatable product capabilities while partnering with engineers on integrations and missing technical functionality.

Owns enterprise architecture and reference designs for security operations technologies, including SIEM, SOAR, security data pipelines, data lakes, AI, and MCP architectures. Establishes integration, detection, logging, and telemetry standards; evaluates security technologies; and aligns Security Operations with cyber defense, infrastructure, cloud, identity, data, and vendor teams. The role is remote and requires travel of approximately 25%.

Lead the intersection of patent law and AI product development for global and Japanese IP markets. Engineer and evaluate AI outputs for patent tasks, build legal benchmarks, shape the product roadmap, support client pilots and demos, develop AI adoption playbooks, and ensure readiness for Japanese-language patent documents and JPO practices. The role requires patent qualification, Japanese and English fluency, technical expertise, client engagement, and regular travel between London or New York and Japan.

Own product marketing and go-to-market strategy for WRITER Agent and core application features. Develop positioning, messaging, launch plans, competitive differentiation, sales enablement assets, and adoption programs. Partner cross-functionally with Product, Sales, Customer Success, Demand Generation, Content, Communications, and Customer Marketing teams. Conduct market research and competitive intelligence while translating complex AI capabilities into compelling value for technical and enterprise business audiences.

Leads centralized incident response portfolios, coordinating triage, documentation, stakeholder engagement, crisis communications, and escalation. Develops data-driven response strategies, analyzes incident trends, maintains AI workflows and reporting systems, and supports national initiatives involving antisemitism, extremism, and education-related issues. The role also establishes standardized processes, contributes to training and onboarding, and collaborates with internal teams, community partners, advocacy groups, legal counsel, policy teams, and law enforcement.

Sell B2B programmatic advertising solutions to enterprise organizations, partnering with SaaS account executives to expand strategic accounts and drive revenue. The role requires executive relationship development, consultative and multi-threaded selling, complex deal closure, and communicating how predictive intelligence, intent data, AI, and audience activation generate pipeline and measurable business outcomes.

Designs, develops, tests, and productizes scalable AI/ML algorithms and models. Responsibilities include model architecture, data pipeline integration, metrics analysis, deployment, scheduling, monitoring, retraining, and iterative improvement. The engineer will support mission-critical government systems, apply software engineering and model evaluation practices, communicate with customers, and potentially lead geographically distributed teams. The role requires advanced machine learning expertise, strong analytical and communication skills, U.S. citizenship, and an active or reinstatable TS/SCI with Polygraph clearance.

Develop and sustain mission-critical government software and systems using Java, Python, and AWS. Implement functional and system-level automated tests, prototype cloud-based solutions, and collaborate with systems engineers within an Agile development process. The role requires U.S. citizenship and an active or reinstatable TS/SCI with Polygraph clearance.

Develop and sustain mission-critical software and systems for a U.S. Government customer. Apply Python and related technologies including Kotlin/Java, Terraform, Elasticsearch/OpenSearch, and AWS. Collaborate independently and within engineering teams while supporting reliable software solutions, Agile development, and mission-focused technical initiatives. The role requires a TS/SCI with Polygraph clearance and is based in Annapolis Junction with partial telework available after acclimation and training.

Leads the Product Acquisition engineering team and drives technology strategy, architecture, software delivery, DevOps maturity, platform adoption, vendor management, and operational excellence. Partners with product managers on roadmaps and business outcomes, ensures engineering standards and production support, and coaches, recruits, and develops engineers and consultants. Requires strong software development, product operating model, project management, stakeholder communication, and technical leadership experience.

Tenure-track and tenured faculty will teach undergraduate and graduate courses, mentor students and postdoctoral researchers, conduct internationally recognized and independently funded AI or computer science research, and provide university and professional service. Research may focus on physical AI, human-centered AI, AI and software engineering, or AI safety, security, and alignment. Candidates will also contribute to inclusive teaching, experiential learning, and interdisciplinary collaboration across Northeastern’s colleges and research institutes.

Develop and optimize computer vision and AI features for embedded automotive systems. Responsibilities include architecting low-latency pipelines, optimizing workloads across CPU, GPU, NPU, and DSP hardware, integrating deep learning inference, prototyping perception algorithms, and collaborating with product, research, and engineering teams.

Own the vision, strategy, roadmap, and end-to-end execution for a major AI-driven product area. Collaborate with Design, Engineering, Sales, Customer Success, and Marketing to ship measurable customer and business outcomes. Lead discovery, prototype and evaluate AI-enabled solutions, drive go-to-market and adoption, mentor product managers, and help improve product development practices across Crexi.

Develop and integrate LLM-powered capabilities into government software supporting warfighting training exercises. Prototype generative AI solutions, build production-quality Python and PyTorch software, evaluate emerging AI technologies, support architecture, and collaborate in an Agile/SAFe multidisciplinary team. The role includes mentoring technical contributors, engaging end users, participating in planning and reviews, and delivering capabilities on a 10-week cadence.

Develop, train, analyze, and customize supervised and reinforcement learning models; design training datasets; build MLOps pipelines; and communicate results to technical and nontechnical teams. The role requires Python and deep learning experience with PyTorch, TensorFlow, or JAX, plus eligibility for an active Secret clearance. Preferred experience includes RL frameworks, MLOps and DevOps tools, time series, satellite imagery, graph neural networks, and advanced RL algorithms.

Develop, train, and deploy AI/ML systems, including deep reinforcement learning, explainability, adversarial learning, and interpretability solutions. Architect AI systems, design training datasets, implement research-based models, develop MLOps pipelines, and communicate results to technical and nontechnical audiences. Lead multidisciplinary projects, support proposals and conferences, mentor junior engineers, and collaborate across teams. The role requires strong Python development, deep learning expertise, research literacy, customer interaction, and an active or obtainable Secret clearance.

Explores and prototypes emerging AI capabilities, including LLMs, agent frameworks, MCP, and retrieval-augmented generation, using real enterprise workflows and data. Evaluates technologies, builds sandbox demonstrations, presents findings to technical and executive audiences, engages vendors, documents experiments, and hands validated prototypes to delivery teams. The role requires strong software engineering, rapid prototyping, independent judgment, business translation, and preferably upstream oil and gas experience.

Build and productionize LLM-based and agentic AI systems, transforming validated prototypes into reliable enterprise deployments. Design shared AI platform capabilities including agent infrastructure, evaluation harnesses, deployment patterns, and sandboxes. Partner with data engineering, security, infrastructure, and delivery teams to integrate governed enterprise data, establish standards, and ensure operational readiness. Document architectures, support clean handoffs, and evaluate emerging AI technologies for enterprise use.

Senior Product Manager responsible for developing and scaling products serving General Counsels, Chief Audit Executives, and compliance and risk teams. The role includes gathering client and market insights, defining product strategy and roadmaps, launching and evaluating offerings, analyzing performance, driving adoption and retention, supporting go-to-market efforts, and collaborating with sales, engineering, research, and other cross-functional teams.

Build and execute Cogent’s Eastern US channel strategy, recruit and activate cybersecurity partners, develop joint account plans, generate partner-sourced pipeline, enable sellers, support enterprise security deals, and manage bookings, productivity, and program ROI.

Owns a portfolio of major enterprise accounts across Atlanta and the Southeast, driving new-logo acquisition, expansion, forecasting, and long-term growth. Builds executive relationships with CISOs, CIOs, security teams, procurement, and partners; leads complex technical evaluations, ROI cases, negotiations, and multi-year enterprise agreements. Requires deep cybersecurity sales expertise, established senior security relationships, strong quota performance, and willingness to travel.