Top Artificial Intelligence Jobs

Manage Salesforce and AI implementation projects for mid-market and enterprise clients. Responsibilities include overseeing scope, schedules, financials, requirements, user stories, designs, UAT, training, and delivery quality. Serve as the primary client contact, facilitate stakeholder meetings, track business outcomes, coordinate architects and consultants, manage contracts and change orders, and guide Agile Scrum and SDLC processes. The role requires strong consulting, presentation, analytical, and client relationship skills.

Analyze, clean, validate, and visualize structured and unstructured data supporting military capability modernization. Develop data methodologies and pipelines, assess data quality, identify trends, establish metrics and KPIs, and present findings to clients and senior Joint Force stakeholders. Use Python, R, SQL, Palantir Foundry or Maven Smart Systems, Microsoft tools, Tableau, Qlik, and Power BI to produce insights, recommendations, documentation, and cross-functional solutions.

Develop and maintain asset liability management and liquidity models, including deposit and prepayment models. Lead model documentation, validation, reviews, testing, production runs, and regulatory compliance. Analyze interest rate and liquidity risk drivers, identify data and modeling enhancements, support balance sheet strategies, and communicate complex modeling concepts to senior management, auditors, regulators, and risk stakeholders.

Tenure-track Assistant Professor responsible for developing an internationally recognized research program in advanced polymer processing and circular manufacturing. Duties include teaching inclusive undergraduate and graduate courses, mentoring students, supervising research, securing external funding, participating in faculty governance, and contributing professional and public service. Research may address sustainable polymer materials, advanced manufacturing, digital technologies, de-manufacturing, remanufacturing, recycling, and data-driven manufacturing systems.

Leads end-to-end delivery of IT, AI, automation, and digital transformation projects within a PMO framework. Manages project portfolios, plans, budgets, risks, governance, stakeholder alignment, vendors, executive reporting, requirements, change management, user adoption, and process improvement. Evaluates software solutions, supports AI-enabled initiatives, and ensures successful implementation and measurable business outcomes.

The Sales Operations Manager supports SDR and inbound marketing leadership through planning, reporting, analytics, technology strategy, and process improvement. The role develops dashboards, KPIs, business requirements, AI-powered automation, and actionable performance insights to improve pipeline generation, lead qualification, and seller efficiency. It partners cross-functionally with Sales, Marketing, Marketing Operations, and Enablement while advising senior leadership on go-to-market optimization.

Develop and maintain quality control systems for aerospace manufacturing processes. Collaborate with engineering, manufacturing, inspection, contracts, and shipping teams to ensure product and process compliance. Investigate nonconformances, perform root-cause analysis, conduct audits and inspections, monitor quality metrics, implement corrective actions, and lead continuous-improvement initiatives. Use statistical analysis and quality standards to identify trends, reduce defects, manage program risks, and verify adherence to drawings, work instructions, and regulatory requirements.

Analyzes transaction, settlement, and reconciliation data to identify discrepancies, trends, risks, fraud indicators, and process improvement opportunities. Develops dashboards, reports, scorecards, and visualizations; performs root-cause and statistical analysis; prepares and validates data; and translates findings into recommendations. Partners with clients, vendors, Accounting, Product, Engineering, and Operations teams to resolve issues, improve controls, support implementations, and communicate financial and operational insights.

Identify, qualify, advance, negotiate, and close enterprise sales opportunities for public safety software solutions. Build territory pipelines, meet quotas, manage complex government buying cycles, demonstrate products, communicate value to agency decision-makers, and maintain customer relationships. Use MEDDPICC, Challenger Sales, persona-based value mapping, AI-enabled sales tools, and Salesforce CRM to manage opportunities and forecasts. Travel up to 75% and comply with CJIS security requirements.

Teach undergraduate and graduate accounting courses, contribute to the M.S. in Accounting, develop applied scholarship, build industry partnerships, mentor students, and support curriculum development in analytics, artificial intelligence, technology, risk, advisory services, and strategic decision support.

Supports analytics projects by understanding datasets, developing models, visualizations, reports, and actionable business insights. Collaborates with analytics teams, applies analytical tools to large datasets, adapts to changing business needs, and develops technical and leadership skills through a 12-week summer internship.

Leads end-to-end delivery of renewable energy forecasting solutions for wind and solar customers. Manages project scope, budgets, contracts, schedules, risks, technical requirements, cross-functional teams, customer communications, implementations, and launches. Translates technical concepts across meteorology, energy systems, software, and machine learning into business outcomes. Supports system enhancements, infrastructure initiatives, proposals, proof-of-concepts, and critical operational events.

Leads the architecture, development, and operation of a scalable AI/ML platform supporting deep learning, LLMs, agentic AI, MLOps, and LLMOps. Optimizes compute and storage resources, builds reusable APIs and frameworks, manages data pipelines, and establishes deployment, monitoring, evaluation, governance, security, and responsible AI standards. Provides technical leadership, mentors engineering and data science teams, and drives cross-functional platform improvements.

Support end-to-end operational activities for private credit and real estate investments, including deal closing, settlements, loan administration, lifecycle events, reconciliations, compliance monitoring, collateral and covenant tracking, and corporate actions. The role oversees external service providers, analyzes investment documents, maintains portfolio data, develops processes and controls, supports reporting, and contributes to technology implementations and cross-functional projects.

Senior IT leader responsible for shaping technology strategy, digital transformation, cloud adoption, AI initiatives, cybersecurity, governance, infrastructure, enterprise systems, service delivery, and user support. Partners with executive leadership and business stakeholders to align technology with organizational goals, lead complex projects and programs, manage cross-functional teams and budgets, and promote operational excellence, innovation, compliance, and improved user experiences.

Own and build the company’s data layer, including metadata-driven schemas, semantic modeling, versioned query interfaces, data lineage, and auditable change tracking. Write production code, establish engineering and AI-first practices, coach engineers, and collaborate with executive and engineering leadership on architectural direction. Experience with multi-tenant SaaS and clinical data standards is advantageous.

Leads and develops a Data Science team while managing enterprise analytics, machine learning, predictive modeling, statistical analysis, and Generative AI initiatives. Partners with business and technology stakeholders to deliver actionable insights across commercial, supply chain, manufacturing, and other functions. Oversees AI architecture, cloud platforms, data pipelines, model validation, LLMOps, governance, compliance, monitoring, and production deployment while mentoring team members and communicating business impact to executives.

Design, model, prototype, test, align, and calibrate advanced optical systems for AI and ML-enabled medical devices. Collaborate with data scientists, software and hardware engineers, biomedical specialists, and clinicians to optimize optical data acquisition and integrate subsystems into surgical technologies. Maintain optical documentation, test protocols, and design histories in compliance with medical device standards and FDA guidance.

Leads data science efforts by analyzing complex structured and unstructured datasets, developing algorithms, dashboards, visualizations, and lightweight applications, and translating findings into actionable client insights. Uses Python, SQL, ETL, APIs, and machine learning techniques while guiding teammates and communicating results to technical and nontechnical audiences. Requires TS/SCI clearance and a bachelor's degree in a quantitative or STEM field.

Leads data science initiatives by analyzing complex structured and unstructured datasets, developing predictive models, machine learning algorithms, ETL pipelines, automated analytic software, and data visualizations. Partners with clients to define needs, translates data into actionable insights, guides teammates, and supports solutions involving AI, IoT, and intelligence analysis. Requires extensive programming, statistical modeling, data engineering, and classified-environment experience.

Leads data science initiatives by analyzing complex structured and unstructured data, developing algorithms, dashboards, visualizations, and lightweight applications, and translating findings into client insights. Uses Python, SQL, ETL, APIs, and machine learning techniques to solve problems across public and private sectors. Guides teammates, communicates results to technical and nontechnical audiences, and supports data-driven decision-making in classified environments.

Supports responsible and scalable AI adoption by coordinating intake, inventory, governance documentation, risk reviews, approvals, vendor and regulatory records, project milestones, training, monitoring, reporting, dashboards, workflows, and issue escalations. Partners with clinical, operations, compliance, HR, IT, security, EMR, analytics, and finance teams to enable safe, compliant AI deployment across the organization. Travel to satellite and other locations is required.

Manage 8–12 enterprise B2B SaaS accounts from late-stage sales through rollout, adoption, expansion, and renewal. Build executive and operational relationships, guide platform usage, coordinate multi-site implementations, track measurable outcomes, identify risks, and support retention and expansion. Partner cross-functionally with Sales, Implementation, Support, Product, Marketing, and Engineering. The role requires translating client safety and operational goals into platform strategies and measurable business value.

Develops product positioning, messaging, buyer personas, go-to-market strategies, market insights, product launches, pricing and packaging analysis, and sales enablement collateral. Partners cross-functionally with Product, Sales, Customer Success, Finance, Demand, and Content teams to drive pipeline, win rate, and ARR growth. Leads AI-first workflow adoption and supports marketing of healthcare interoperability and data-quality solutions.

Leads mortgage forecasting, scenario analysis, performance attribution, and financial assessment for trading and portfolio strategies. Evaluates mortgage securities, loans, risks, assumptions, cash flows, returns, and market scenarios. Partners with Finance, trading, risk, modeling, accounting, and liquidity teams to explain performance and challenge assumptions. Builds and manages the mortgage analytics team, processes, controls, data, and reporting framework.