Top Artificial Intelligence Jobs

Participate in three 12-month finance and accounting rotations while developing leadership and technical skills. Prepare financial reporting packages, analyze balance sheets and P&L statements, support budgeting and forecasting, investigate variances, and use data analytics and AI-enabled tools to improve business processes. Partner with cross-functional teams across global regions to provide financial insights and develop best practices.

Leads and develops a Customer Success team serving strategic enterprise customers. Owns onboarding and adoption strategies for deployments exceeding 1,000 vehicles, executive stakeholder relationships, business reviews, customer health, retention, expansion, and ROI realization. Establishes scalable success processes, governance frameworks, KPI reporting, and data-driven recommendations while coordinating Sales, Product, Engineering, Support, and Operations. The role also manages enterprise risks, team performance, organizational growth, and customer advocacy, with travel of up to 30%.

Support complex organizational and technology transformation programs from strategy through implementation. Develop change plans, communications, training, stakeholder engagement, leadership materials, workforce strategies, and organization design solutions. Assess employee sentiment, adoption, risks, and outcomes using data and insights. Manage project workstreams, client relationships, presentations, proposals, and RFP responses while guiding junior team members and supporting AI-enabled workforce transformation initiatives.

Support portfolio managers and traders with day-to-day account management, trade allocation/booking, cash tracking, client communications, reporting, and system updates. Assist with market analysis and respond to client queries while ensuring portfolios follow guidelines and firm strategies.

Own Prosper’s strategic healthcare provider segment from market strategy through enterprise deal closure. Build account segmentation, named-account plans, commercial models, ROI cases, and go-to-market playbooks. Lead complex, long-cycle sales involving executives, revenue cycle, finance, IT, security, compliance, clinical operations, procurement, legal, and product teams. Navigate pilots, RFPs, HIPAA and BAA diligence, negotiations, and multi-site rollouts while shaping product priorities and cross-functional execution.

Owns the transition of defense technology from pilots and prototypes into funded, recurring programs of record. Responsibilities include Phase II-to-III transitions, program insertion, DoD funding strategy, account expansion, and teaming with defense primes and research organizations. The role requires deep knowledge of PPBE and the POM cycle, strong relationships with DoD program offices and acquisition leaders, persuasive writing, and in-person work in the Washington, DC or Northern Virginia area.

Leads go-to-market strategy, enterprise sales, account growth, and revenue targets for AI-powered cybersecurity solutions. Engages CISOs and senior security executives, translates technical capabilities into business and risk outcomes, manages complex sales cycles and seven-figure deals, develops offerings with technical and delivery teams, maintains forecasts and CRM pipelines, and represents Booz Allen at industry forums.

Develops data science algorithms and systems to analyze structured and unstructured data, apply supervised and unsupervised AI training and NLP, manipulate data from multiple platforms, and create visualizations that help clients make informed decisions. The role requires collaboration with clients, five or more years of analytical or statistical programming experience, a Secret clearance, and a relevant bachelor's degree.

Own end-to-end applied machine learning projects that improve marketplace quality and trust. Build pricing-integrity, product-matching, entity-resolution, attribute-extraction, ranking, and violation-detection models using structured and unstructured data. Develop human-in-the-loop review systems, prioritize enforcement actions under operational constraints, evaluate LLMs, and analyze experiments measuring retailer trust and marketplace GMV. Partner cross-functionally with product, engineering, analytics, and marketplace operations to ship models and deliver business impact.

Build and deploy AI-powered tools, developer workflows, testing pipelines, integrations, and internal interfaces across the organization. Evaluate frontier models and emerging AI tools, improve CI/CD and automated testing, support go-to-market and operations teams, and establish practices for agentic engineering, security, responsible AI, reliability, and cost management. The role requires cross-functional collaboration and rapid prototyping.

Serve as the strategic and operational partner to the AI and Data Transformation & Analytics Practice Leader. Own leadership cadence, strategic initiative execution, AI governance, investment oversight, FP&A partnership, pipeline and revenue enablement, communications, and change management. Coordinate cross-functional stakeholders, improve practice operations, support executive forums, and ensure accountability, financial discipline, and alignment with firmwide strategy.

Lead enterprise metadata strategy, standards, governance, capture, curation, validation, lineage, and lifecycle management across data products and business assets. Partner with data governance, engineering, quality, analytics, modeling, and stewardship teams to improve data trust, discoverability, reuse, and AI readiness. Drive metadata automation, catalog synchronization, certification support, issue remediation, and stakeholder communications across a complex enterprise data environment.

Lead the enterprise privacy and data protection program, including governance frameworks, risk assessments, regulatory compliance, AI governance, incident oversight, monitoring, testing, training, and executive reporting. Partner with Compliance, Risk, Technology, Cybersecurity, Legal, Audit, and business leaders to embed privacy-by-design, responsible data practices, and effective controls. Manage regulatory examinations, remediation efforts, privacy incidents, and a team of privacy and governance professionals.

Leads operations and digital transformation strategy, automation and AI implementation, PLM process improvement, governance, and operational metrics. Oversees cross-functional teams, manages direct reports, communicates roadmaps to executives, and coordinates headcount, budgets, schedules, and deliverables across multiple programs. Drives Lean continuous improvement, enterprise-system integration, technology adoption, and organizational capability development.

Leads transaction management strategy and execution for complex enterprise real estate portfolios. Develops market optimization plans, negotiates transactions, manages brokerage and cross-functional resources, advises clients, oversees reporting and financial analysis, drives process and technology improvements, and mentors transaction management teams. The role supports strategic portfolio decisions, governance, value creation, and consistent delivery across major client accounts.

Leads enterprise platform product strategy across internal capabilities supporting engineering, AI delivery, architecture, and product teams. Defines roadmaps, investment priorities, governance, adoption strategies, and AI-first operating models. Advises senior technical and business leaders, drives complex cross-functional initiatives, and establishes platform product standards. Builds and develops a high-performing team of platform product managers through coaching, role clarity, performance management, and succession planning while maintaining accountability for adoption, business outcomes, and delivery results.

Supports post-execution trade lifecycle activities across fixed income, equities, and liquidity products, including trade matching, confirmation, settlement, exception management, and risk mitigation. Monitors Aladdin dashboards, SWIFT transmissions, and pending queues; prepares reports; coordinates with traders, portfolio managers, brokers, custodians, and service providers; investigates system issues and cash discrepancies; maintains procedures; and identifies automation opportunities to improve operational efficiency and reduce risk.

Designs, deploys, and supports AI tools, gateways, integrations, and automated workflows. Builds secure connections between AI systems, APIs, enterprise applications, and workflow platforms while implementing access controls, monitoring, logging, and audit capabilities. Troubleshoots technical issues, manages testing and releases, improves prompts and AI assistant configurations, documents solutions, supports cyber operations, and mentors junior engineers in an agile environment.

Develop and improve computer vision systems for aerial image recognition, including object detection, segmentation, classification, and pattern recognition. Train, fine-tune, evaluate, and deploy machine learning models; build data pipelines; experiment with foundation and multimodal models; prototype new AI applications; and optimize model accuracy, reliability, performance, and inference efficiency. The role requires independent ownership from research through production deployment.

Supports post-execution trade lifecycle activities across fixed income, equities, and liquidity products. Responsibilities include trade matching, confirmation, settlement, exception management, monitoring Aladdin and SWIFT queues, preparing reports, coordinating with traders, portfolio managers, brokers, custodians, and vendors, investigating system issues, and improving operational processes through automation and documented controls.

Entry-level Software Engineer on the Applied AI team, building production applications and infrastructure supporting machine learning, analytics, credit decisioning, pricing, and risk systems. Responsibilities include writing tested and documented Python code, collaborating with ML and Analytics teams, learning production deployment practices, communicating technical decisions, and using AI-assisted coding tools.

Deploy, integrate, configure, and operate enterprise AI platforms including Google Gemini for Gov, M365 Copilot, and ChatGPT Gov. Manage licensing, FedRAMP-aligned features, identity and logging integrations, technical issue resolution, documentation, operational readiness, and user feedback. Collaborate with cross-functional stakeholders to support secure, scalable, compliant AI applications within federal government environments.

Leads enterprise AI platform implementations for federal clients, including requirements gathering, stakeholder workshops, governance, compliance alignment, success metrics, procurement, identity integration, monitoring, testing, rollout, and operational readiness. Manages risks, dependencies, issues, and cross-functional workstreams while coordinating technical and functional teams. Requires experience with enterprise AI tools, technology integration programs, cloud infrastructure, DevOps, and federal compliance frameworks such as FedRAMP and NIST.

Leads AI engineering strategy across clinical, patient, and operational products. Designs and operates production retrieval, orchestration, agentic, and evaluation systems, establishing standards for AI safety, observability, responsible deployment, and reliability. Partners with clinical, product, and executive leaders on the AI roadmap, mentors engineers, evaluates emerging models and tools, and codes regularly in Python.

Build, test, and refine Glean AI agents and workflows; curate enterprise knowledge across connected systems; support AI prototypes, quality assurance, governance, documentation, user onboarding, training, and adoption. The role translates business needs into agent instructions, improves retrieval and output quality, identifies knowledge gaps, and collaborates with technical and business teams to develop governed, reusable AI solutions.