Top Artificial Intelligence Jobs

Work with clients to define data needs, analyze structured and unstructured data, build and deploy ML and LLM-based systems (GPT, Claude, Gemini, Llama, Mistral), design prompting and agentic solutions, operationalize segmentation, forecasting and GenAI applications, and communicate results via presentations, dashboards, and tools to inform marketing and product decisions.

Work with clients to define data needs, acquire and analyze structured and unstructured data, build predictive models and LLM-based systems, deploy GenAI applications, design prompting strategies, and communicate insights via presentations, dashboards, and tools. Collaborate with engineering and product teams to productionize models and provide strategic decision support for marketing, customer, and product challenges.

Consultant supporting clients' compliance, risk, and regulatory teams by defining data needs, building data pipelines, performing analytics, and designing/deploying GenAI and ML solutions (LLMs, agents, dashboards). Collaborates with engineering, legal, and product teams and contributes to business development, training, and publications.

Partner with client teams to define data needs, acquire and analyze structured and unstructured data, build predictive models and LLM-based systems, design prompting strategies, deploy GenAI applications, and communicate findings via presentations, dashboards, and tools to support marketing, customer, and product decisions.

Lead enterprise data and AI strategy to unify data, standardize KPIs, implement governance, improve data quality at the source, and accelerate AI adoption. Drive high-impact AI use cases from concept to production, manage external partners, and enable scalable, data-driven decision-making across operations, finance, and commercial functions.

The Senior Intelligence Analyst will provide strategic analysis, reviews and recommendations to enhance military operations for TRADOC, focusing on DOTMLPF.

Manage defense-focused programs from capture through contract execution, ensuring schedule, budget, and technical objectives. Build customer relationships, lead proposal and capture efforts, coordinate subcontractors, manage program risk and reviews, support secure workspaces and classified/secure information handling, and guide software product development processes.

The Digital Marketing Strategist at JMARK will architect and analyze digital growth strategies, oversee paid media campaigns, manage SEO, and utilize AI tools to enhance marketing outcomes while collaborating closely with content and growth operations teams.

The Project Manager will drive AI and automation initiatives within the healthcare sector, managing projects from concept to deployment, while facilitating agile ceremonies and ensuring stakeholder alignment and operational efficiency.

The Intelligence Data Strategist will lead complex data exploration and analytics projects, developing data strategies and supporting military intelligence operations. Responsibilities include integrating intelligence workflows, developing training programs, and making data-driven recommendations to enhance operational effectiveness.

Design, implement, and maintain scalable data pipelines and platforms for structured and unstructured data to support AI/ML workloads. Ensure data governance, security, monitoring, and CI/CD for ETL workflows across on‑prem, cloud, or hybrid environments while collaborating with cross‑functional technical teams.

Assess public sector organizations, design and deliver digital solutions (data analysis, process automation, UI/UX, AI), engage stakeholders, apply transformation frameworks, and influence decisions to improve mission effectiveness.

The Senior Product Manager will lead product discovery, develop business cases, establish roadmaps, and coordinate across teams to ensure product success.

As an Engagement Manager, you will manage project workstreams, synthesize data, guide a team, and support client interactions while optimizing supply chain operations.

Assist Finance and IT teams with ERP and reporting systems, data cleansing and conversion, system testing, data validation, documentation, and support automation and AI-enabled financial analysis initiatives.

Lead brand, content, and creative services to evolve Entegris' corporate brand and messaging across channels. Design and execute branding strategies, establish visual and content standards, manage agencies and cross-functional teams, and apply marketing analytics and AI to improve efficiency and engagement.

Partner with business and IT to extract, clean, analyze data, build dashboards, and deliver AI-enabled insights. Maintain enterprise reporting, validate data quality, support recurring and ad hoc requests, document metrics, and translate findings into business-friendly visualizations to improve underwriting and performance decisions.

Lead assessment, piloting, and scaling of AI and other emerging technologies. Design proofs of concept, partner with domain and platform teams for adoption, drive thought leadership, evangelize externally, build partnerships, contribute to architecture governance, and foster a culture of innovation and experimentation.

Design, build, and deploy AI solutions (agents, retrieval, prompts, automation) across the business; evaluate and integrate AI tooling; collaborate with domain experts; enable and coach division teams; deliver production-grade LLM applications and practices.

Architect and build production-grade agentic AI systems and platforms using Google ADK, MCP, LangChain/LangGraph, and AlloyDB. Develop agent harnesses, RAG/GraphRAG pipelines, vector retrieval and memory stores, Terraform-based GCP infrastructure, CI/CD for model deployments, and enterprise security and governance for sessioned agent interactions.

Design and lead development of cloud-native applications and AI/ML integrations. Define architecture, enforce coding standards, lead POCs, mentor developers, implement RAG/LLM solutions, and support production deployments and CI/CD.

Lead end-to-end delivery of AI-native deployments into customer cloud environments: design and deploy MCP servers, agentic workflows, Terraform-managed AWS infrastructure, integrate with Databricks/Delta Lake/Snowflake/S3, ensure security and compliance, debug production issues, and translate field learnings into reusable deployment patterns and platform improvements while driving technical customer engagements.

Own and build Broccoli AI's end-to-end customer education: design roadmap and materials, teach contractors how to use an AI-native product, create certification, use AI to generate lessons and analyze friction, and deliver training across formats (video, in-product guidance, live sessions).

Serve as commercial finance partner for Software Solutions & Liquid AI, leading FP&A processes, forecasting, budgeting, P&L analysis, business cases, and finance transformation. Deliver actionable insights, improve forecast accuracy, automate reporting, and influence senior leaders to support growth, pricing, and resource allocation.

Serve as a strategic talent partner to executives and engineering leaders, owning full-cycle technical recruiting for AI, ML, infrastructure and product roles. Advise on workforce planning, org design, succession, and people issues; coach managers; deploy talent intelligence, AI-powered sourcing automation, and recruiting metrics to improve hiring velocity and candidate experience. Role is fully on-site in Mountain View.