Top AI Jobs in Denver & Boulder, CO

The Senior Accountant will oversee accounting functions, manage month-end closes, perform technical accounting analysis, support audits, and ensure accurate financial reporting.

As a Staff Product Manager, you'll drive the strategy and success of SIEM products, collaborating with various teams to fulfill customer needs and market demands while focusing on security for SMBs.

Ensure the success of top customers by developing relationships, driving product value, ensuring satisfaction, and collaborating across departments.

Design and implement algorithms for autonomy capabilities in mission planning and decision-making, collaborating with teams on real-world applications. Responsibilities include testing and debugging systems and writing clean code.

The Senior Market Development Consultant will drive growth in the Card & Banking sector by executing strategic initiatives, creating content, and supporting sales teams while engaging with clients in a consultative capacity.

As an Associate Technical Onboarding Manager, you will manage the onboarding process for new customers, gather technical requirements, and ensure quality customer experience through project management.

Embed with teams to audit workflows, build and productionize LLM/agent automations (using Claude and integrations), create reusable assets and guardrails, coach teams to self-sufficiency, and measure outcomes to prioritize future engagements.

Lead design and implementation of conversational and agentic AI solutions for clients, building voice and natural language interfaces, prototypes, and responsive web front-ends. Conduct user research and usability testing, collaborate with cross-functional teams to integrate AI platforms (Dialogflow, Amazon Lex, Azure OpenAI, AWS Bedrock), and apply human-centered design to optimize contact center workflows and customer experiences.

Lead development and implementation of conversational and agentic AI solutions for contact centers. Manage cross-functional teams, translate client requirements into technical specs, design responsive UIs using AngularJS/React/Vue, run usability testing, apply human-centered design, and mentor junior staff while building client relationships to ensure successful delivery of AI-driven products.

The role involves developing, testing, and validating Generative AI agents and maintaining automated testing standards. Responsibilities include mentoring junior associates, analyzing complex issues, and applying governance controls in AI-driven solutions.

As an AI Engineering Manager at PwC, you will lead the design and operation of AI-powered platforms, mentor engineers, and ensure project delivery excellence while focusing on security and scalability.

Lead development and implementation of AI-powered contact center and conversational solutions. Guide cross-functional teams to design natural language interfaces using Dialogflow and Amazon Lex, prototype UIs with Figma, conduct usability testing and user research, validate data integrity and security, build stakeholder relationships, and coach teams to deliver high-quality, client-aligned AI products.

The Senior AI Success Manager at Braze drives customer success for AI use cases, collaborates with teams, manages executive relationships, and analyzes results to communicate value.

The Advisory Agentic Technologist will be the Subject Matter Expert in identity management, driving technical success and strategy, collaborating on agentic AI innovations, and influencing product development, with a focus on the US, Canada, and Latin America.

Design, build, and ship production-grade agentic AI workflows using LangGraph, Temporal, and Pydantic. Implement AI observability with LangFuse, set AI engineering standards (RAG, prompt management, tool-calling), benchmark LLMs, deploy cloud AI (containerization, cost management), and mentor engineers while supporting enterprise SLA, security, and compliance needs.

As a GTM AI Engineer, design and execute AI-driven workflows for Superhuman's go-to-market stack, improving automation in sales processes and team collaboration.

The Technical Consultant will provide technical expertise for enterprise B2B projects, collaborate with teams for implementation, and ensure client success.

Design, build, test, deploy, monitor, and maintain production LLM-based agentic solutions for Commercial Customer Success. Integrate agents with CRMs and Samsara systems, define evaluation frameworks and success metrics, implement automated tests and monitoring, iterate on models and prompts, and demonstrate impact on customer outcomes and retention.

Lead end-to-end technical programs to design, build, govern, and scale Agentic AI initiatives across Professional Services. Drive GTM enablement, AI governance, productivity improvements, stakeholder engagement, change management, and cross-functional execution with a security-first mindset and measurable business outcomes.

Run day-to-day marketing for AppSec, AI/ML Security, and Research & Engineering practices: produce technical content, own social and event presence, run demand-generation campaigns, enable sales, build analytics and attribution, and coordinate cross-practice coverage with engineering and GTM teams.

Integrate and fine-tune existing AI models into product features, build evaluation frameworks and observability for production AI, collaborate with data science and engineering, and develop AI-powered application features using Python to improve user experience.

Lead the product strategy and roadmap for a centralized AI context management and model-management platform. Design integration patterns, paved roads, evaluation/observability frameworks, and enablement for internal teams. Partner with engineering and data teams to ensure context retrieval, model selection, and production-ready agentic experiences while driving adoption and measuring platform outcomes.

Lead SEO and GEO digital strategies for Sling TV and DISH, enhancing search engine visibility and managing on-page SEO initiatives. Collaborates across teams to optimize content and analyze performance metrics to drive organic growth.

As an AI Engineer, you will build and scale AI business applications, focusing on generative AI. Responsibilities include rapid prototyping, applying software engineering best practices, and providing production support.

Design and implement AI capabilities, transition prototypes to production, build agent workflows, optimize data retrieval, and automate evaluation processes.