Top Artificial Intelligence Jobs

Analyzes large structured and unstructured datasets using machine learning, deep learning, data mining, and predictive modeling. Develops algorithms and prediction systems, identifies patterns and trends, evaluates AI/ML solutions, and delivers data-driven recommendations for business leaders. Collaborates with product teams and stakeholders on business planning and roadmaps while applying sound risk management practices.

Develops machine learning and deep learning models, analyzes large structured and unstructured datasets, identifies trends, and creates predictive solutions for business decisions. The role assesses AI/ML feasibility, builds data processes and prediction systems, provides analytical recommendations, collaborates with product teams and stakeholders, and supports innovative data strategies while following the bank’s risk management framework.

Leads Vantage’s enterprise AI platform strategy and operations, including the Halo roadmap, platform reliability, AI FinOps, adoption, governance, go-to-market packaging, and program coordination. Builds and manages teams spanning platform engineering, product management, analytics, and operations. Partners with Finance, IT, Security, and AI leadership to improve platform usage, cost visibility, compliance, reliability, and business value. The role also oversees migrations, executive reporting, vendor relationships, and enterprise AI adoption.

Build and operate secure, production-grade generative AI applications for federal missions. Responsibilities include developing agentic workflows and RAG systems, integrating cloud AI services, evaluating models, designing prompts and guardrails, implementing observability and SRE practices, optimizing cost and latency, and delivering reusable SDKs, CI/CD templates, Terraform modules, and evaluation tooling for restricted or air-gapped environments.

Own and develop an AI platform using Python, FastAPI, Amazon Bedrock, React, TypeScript, and AWS serverless services. Provide architectural ownership across .NET case management and video systems, modernize legacy platforms, establish engineering standards, oversee security and CI/CD, guide integrations, and coach engineers. The role combines hands-on production coding with technical leadership, architecture reviews, cloud infrastructure ownership, and cross-platform modernization.

Own the roadmap, backlog, requirements, and user experience for AI-enabled communications strategy and creative products. Conduct user research, translate complex workflows into scalable product experiences, manage stakeholders, and partner with UX and engineering through delivery. Define AI workflows, data integrations, guardrails, evaluation approaches, and success metrics while iterating through prototypes and real-user pilots.

Supports Government Programs actuarial trend forecasting, pricing studies, benefit and cost-sharing impact analyses, legislative assessments, and experience studies. Uses actuarial, statistical, and mathematical modeling to identify cost and utilization drivers. Partners with stakeholders to develop and implement practical AI use cases, monitor adoption, and communicate findings through reports and presentations.

Serves as the enterprise technical authority for autonomous agentic systems and multi-agent architectures. Defines reference architectures, governance standards, security review processes, MCP integrations, identity delegation, testing, and evaluation practices. Bridges field deployments with internal AI platforms and advises senior leadership on AI capabilities, risk, compliance, and validation. Leads enterprise architecture governance across engineering teams.

Leads end-to-end delivery and governance for complex Applied AI and agentic engineering programs. Coordinates engineering pods, infrastructure teams, business units, and control functions; manages intake, milestones, dependencies, dashboards, SLAs, risk reviews, and token economics. Applies Agile/Scrum practices, facilitates Model Risk Management and CISO alignment, resolves blockers, and communicates technical progress and risks to executive stakeholders across a global matrixed organization.

Leads development of scalable full-stack applications using Java, Angular, microservices, and event-driven architectures. Integrates and deploys agentic AI, GenAI, and LLM-enabled systems for M&A use cases in a regulated enterprise environment. Responsibilities include architecture, coding, testing, CI/CD, security, operational support, environment readiness, risk management, mentoring, code reviews, and stakeholder collaboration.

Leads and builds the mid-market business development function, owning territory strategy and the full sales cycle for pharma and biotech accounts. Develops and coaches a high-performing BD team, drives pipeline and new-logo acquisition, closes multi-year SaaS deals, and partners with marketing, strategy, product, and commercial operations. Represents the company at industry events and contributes to commercial frameworks, forecasting, segmentation, and coverage models.

Own the full enterprise sales cycle for Within’s AI platform, from territory building and outbound prospecting through executive engagement, business-case development, negotiation, and close. Sell to Fortune 2000 organizations and complex financial-services accounts, navigating multi-stakeholder buying committees across business, IT, procurement, legal, and compliance. Partner with Solutions Consultants and Customer Success on proof-of-value engagements, manage pipeline and forecasting, and travel extensively for customer meetings and deal opportunities.

Own full-cycle recruiting for engineering and technical roles while building Within’s recruiting foundation from the ground up. Responsibilities include sourcing exceptional talent, designing interview and evaluation processes, partnering with founders and hiring managers, closing candidates, and developing AI-enabled workflows for sourcing, screening, and recruiting operations.

Own and close high-value enterprise SaaS deals with Financial Services and Private Equity accounts. Build territories from scratch, generate pipeline, manage executive-level sales cycles, develop ROI-driven business cases, navigate complex buying committees, and negotiate six- and seven-figure contracts. Partner with Solutions Consulting, Marketing, Customer Success, and Product while maintaining forecasting discipline and representing the financial services vertical. The role is based in New York City and requires customer and industry-event travel.

Leads data science initiatives by exploring, cleaning, analyzing, and visualizing structured and unstructured data. Develops predictive models and algorithms, translates complex datasets into actionable insights, advises clients, and guides teammates. Requires Python, SQL, statistical programming, TS/SCI clearance, DoD 8140 Level II certification, and up to 25% travel. Intelligence and geospatial analytics experience are preferred.

Leads global Voice of Market efforts to identify and validate new growth opportunities. Conducts customer, competitive, trend, segmentation, sizing, and AI-supported analyses; develops opportunity hypotheses, value propositions, target markets, and early business cases. Partners with product, technical, commercial, and cross-functional teams to advance concepts through NPI gates and influence investment decisions. The role is on-site in Maplewood, Minnesota, with up to 30% domestic and international travel.

Supports corporate financial strategy across electric vehicles, charging infrastructure, energy, vehicle leasing, real estate, and capital formation. Responsibilities include building and maintaining financial models, evaluating transaction structures, conducting risk and return analysis, supporting credit and capital markets activities, preparing investment memos and investor materials, partnering with Legal on transaction documentation, and improving scalable financial processes.

Own the post-implementation journey for enterprise SaaS customers, including onboarding, adoption, health, retention, renewal, and value realization. Build success plans, advise on CLM best practices, lead executive reviews, manage risks and dependencies, support change management, and coordinate cross-functional teams. Partner with Account Management on renewals and expansions while representing customer needs. The role also requires understanding enterprise integrations, APIs, AI-enabled software, governance, and stakeholder management.

Develops and deploys AI and machine learning models, algorithms, and analytics for federal customers. Responsibilities include analyzing datasets, testing and refining models, developing statistical and graph-based algorithms, creating visualizations, automating manual analysis, and integrating prototype solutions into production analyst workflows. Requires quantitative education, extensive data analysis and programming experience, and a TS/SCI clearance with polygraph.

Own the digital shopping product strategy and roadmap across desktop, mobile web, and app. Lead discovery, acquisition, search, navigation, landing pages, personalization, SEO, experimentation, and AI-enabled customer experiences. Use funnel data, customer insights, and analytics to prioritize initiatives, improve conversion and engagement, and guide cross-functional delivery. Partner with Engineering, UX, Marketing, Analytics, Merchandising, Stores, and technology vendors while strengthening product management practices and KPI ownership.

Leads AI governance for USCYBERCOM, designing and operationalizing governance frameworks, procedures, review boards, intake processes, and lifecycle oversight. Aligns command practices with U.S. Government and Department of War AI directives, coordinates with policy, technical, legal, and operational stakeholders, and supports senior leadership through charters, documentation, executive summaries, and briefings.

Recruit technical talent for engineering teams, including software, machine learning, and AI roles. Partner with hiring managers, source passive candidates, conduct approximately five interviews daily, write compelling outreach, build pipelines, track recruiting progress, and deliver a strong candidate experience. The role is a three-month 1099 contract with potential extension and offers hybrid work from New York City or Chicago.

Leads SI Group’s enterprise AI strategy, governance, transformation office, and responsible AI adoption. Oversees AI platforms, vendors, budgets, training, and organizational enablement while designing and deploying predictive models, AI agents, and automation across manufacturing and business functions. Establishes MLOps and LLMOps practices, manages risk and compliance, measures ROI, and leads a senior team delivering scalable AI capabilities.

Designs, develops, tests, and maintains AI-enabled applications and agent workflows using Python, LangChain, Microsoft Agent Framework, RAG, APIs, and cloud AI services. Integrates models with enterprise data and applications, builds evaluation and testing processes, supports CI/CD deployment and monitoring, and applies security, privacy, and responsible AI practices. Collaborates with product, data, cybersecurity, infrastructure, and functional teams to deliver secure, reliable solutions for federal mission needs.

Drive sales across state, local government, and education sectors. Develop SLED sales strategies, prospect new opportunities, build public-sector relationships, deliver tailored presentations, manage the full sales cycle, exceed targets, collaborate cross-functionally, mentor team members, and analyze sales data and market trends. The role is remote, preferably based from the East Coast to Northern Midwest.