AI Solutions Architect

AI ENTERPRISE INC
Denver, CO, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$185,000.0 - $195,000.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Data Analysis Application Integration Architecture Cloud Computing Cloud Engineering Information Systems Information Engineering Data Infrastructure Distributed Systems Machine Learning Automation of Marketing
+13 more
Apache Maven Search Technologies Software Engineering Enterprise Data Management Google Cloud Enterprise Software Applications Large Language Models IT Architecture Generative AI AI Platforms Information Technology Servicenow Microservices

Job description

The AI Solutions Architect is responsible for shaping and executing Intersect’s enterprise AI strategy, ensuring the organization leverages cutting-edge artificial intelligence to drive innovation, scalability, and competitive advantage. As the principal technical authority for AI initiatives, this role designs secure, enterprise-grade AI architectures and partners across the organization to deliver production-ready intelligent systems that generate measurable business value. We are seeking a technical leader with deep expertise in Google Cloud Platform (GCP) AI technologies who can translate complex AI concepts into scalable, high-impact solutions while enabling responsible AI adoption across the business., The AI Solutions Architect serves as the organization’s primary technical advisor for AI strategy and implementation. Working closely with software engineering, data infrastructure, Corporate Technology, and business leaders, this role defines technical direction, evaluates emerging AI capabilities, and ensures AI solutions are aligned with enterprise architecture, governance, and business priorities.

What You’ll Do

  • Architect end-to-end, enterprise-scale AI and machine learning solutions on Google Cloud Platform (GCP), leveraging technologies such as Vertex AI, Gemini models, custom LLM fine-tuning pipelines, agentic AI frameworks, vector search, Claude Agents, and related AI platforms.
  • Evaluate emerging AI technologies, vendors, and platforms by conducting technical assessments, due diligence, and proof-of-concept initiatives. Build vendor relationships and recommend solutions that align with business objectives, security standards, and enterprise architecture.
  • Partner with cross-functional stakeholders to identify opportunities for AI integration within business processes and workflows. Gather requirements, define scalable solution architectures, develop implementation roadmaps, and collaborate with engineering and data teams to deliver production-ready capabilities.
  • Establish and maintain enterprise AI governance, including responsible AI policies, prompting standards, model lifecycle management, security controls, data privacy practices, and compliance guidelines.
  • Serve as the internal AI champion by promoting awareness, sharing best practices and successful use cases, creating enablement resources, and helping teams confidently adopt AI technologies.
  • Lead organizational AI adoption and change management initiatives by identifying barriers, collecting employee feedback, and partnering with Talent Development and Employee Engagement teams to deliver effective training and enablement programs.
  • Provide technical leadership and strategic guidance on AI architecture, scalability, security, and operational excellence across the organization., Build end-to-end internal AI agents and workflow automations: discover high-value opportunities, redesign processes, implement LLM-based agents with integrations, deploy and operate solutions, and ensure security, compliance, monitoring, and adoption across GTM teams. Top Skills: Agent OrchestrationAPIsC#Ci/CdCRMCustomer Success PlatformsErpFunction CallingGitIdentity ManagementInfrastructure As CodeLlmsMarketing AutomationMonitoring/LoggingNetworkingNode.jsPythonRetrieval-Augmented GenerationSales Engagement PlatformsSecrets ManagementTest AutomationTypescriptWebhooks ServiceNow

Requirements

  • 5-7 years of experience in technology program management, product management, technology strategy, solutions architecture, or a related technical leadership role.
  • 3+ years of hands-on experience in software engineering, cloud architecture, data engineering, or enterprise systems, including microservices, distributed systems, enterprise data integration, and strong programming fundamentals.
  • Demonstrated expertise designing and implementing AI solutions on Google Cloud Platform, including Vertex AI, Gemini, AI agents, APIs, vector databases, and modern machine learning infrastructure.
  • Strong understanding of the modern AI ecosystem, including large language models (LLMs), generative AI, retrieval-augmented generation (RAG), agentic workflows, automation platforms, analytics, and software development lifecycle concepts.
  • Ability to translate complex business requirements into scalable technical solutions while effectively communicating AI concepts to both technical and non-technical audiences.
  • Experience leading enterprise-wide, cross-functional initiatives and influencing stakeholders across multiple business functions without direct authority.
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, Business, or a related field preferred. Equivalent practical experience leading technical initiatives in enterprise environments is highly valued.
  • Excellent communication, presentation, facilitation, organizational, and relationship-building skills with a collaborative, strategic, and solutions-oriented mindset.

Benefits & conditions

Total Compensation: $188,000 - $195,000 (total compensation includes base salary + bonus in USD)

Equity: Beyond your salary, you’ll receive an Equity Grant, giving you a meaningful stake in our parent company.

Health & wellness: 100% premium coverage for you and your dependents on medical, dental, and vision

Time to recharge: Unlimited PTO, plus two company-wide breaks (Fourth of July & end of year)

Family support: Up to 12 weeks of fully paid parental leave, plus 6 additional weeks for birth parents; access to family planning and family care support through Carrot and Maven

Mental health: Free access to Spring Health, including 5 free therapy and psychiatry sessions, plus a Headspace account for mindfulness and meditation through our physical health vendor, Wellhub+

Perks & extras: $150 monthly food stipend, $150 monthly reimbursement for cell phone and internet, pet insurance allowance, full home office setup, free access to UrbanSitter with $625 in quarterly company-paid credits, ActiveHero, and One Medical, 7 Days Ago Remote or Hybrid 173K-303K Annually Expert/Leader 173K-303K Annually Expert/Leader Artificial Intelligence * Cloud * HR Tech * Information Technology * Productivity * Software * Automation Lead portfolio-level product and solutions marketing for ServiceNow Autonomous IT and AI-native workflows. Define the category narrative, unify GTM across ITSM/ITOM/product teams, engage customers and analysts, build customer proof points, and hire and grow a team of product and solutions marketers to operationalize the portfolio vision. Top Skills: Agentic AiAIAutonomous ItAutonomous Service OperationsItomItsmServicenow PwC

AI Solutions Engineering Delivery Lead

9 Hours Ago Remote or Hybrid Denver, CO, USA 123K-123K Annually Expert/Leader 123K-123K Annually Expert/Leader Artificial Intelligence * Professional Services * Business Intelligence * Consulting * Cybersecurity * Generative AI Lead and oversee multiple multidisciplinary teams to architect, develop, deploy, monitor, and maintain full-stack AI solutions (including LLM integrations). Provide strategic and technical leadership, drive experimentation and CI/CD practices, ensure quality and stakeholder alignment, promote innovation, and mentor senior and junior team members to deliver business-aligned AI outcomes. Top Skills: AWSAzureCi/CdGitGoogle Cloud PlatformLangchainLlmsPandasPrompt EngineeringPythonPyTorchScikit-LearnSemantic KernelSQLVector Dbs

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

About the company

We’re a team of friends bound together by a mission to preserve our planet for future generations through innovative energy solutions and modern infrastructure. Intersect develops, constructs, and operates the most ambitious power and data center infrastructure in the country by co-locating industrial demand with dedicated gas and renewable power generation.

Intersect was acquired by Google in March 2026 and operates as an independent subsidiary. We are developing and constructing multiple gigawatts of energy and data center projects in the U.S., enabling more data center and generation capacity to come online faster. We’re on an aggressive growth trajectory and looking for people hungry to tackle the largest energy challenges on the planet., Intersect has been a fully flexible workplace since its founding in 2016. We’ve been very intentional about the way we do things. We are not work-from-home, hybrid, or in-office - we are any and all of those options! Deepening social connections and offering shared experiences is a cornerstone of the way we work. We connect as a team at our Team Week experiences four times a year and at our recently established Hub locations - SF Bay Area, NYC Metro Area, NY; Denver, CO; Austin, TX; Calgary, AB; and Toronto, ON.

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Apply on www.builtincolorado.com
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