Opportunities in United States

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.

Location & Team Gatherings

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.

We are currently looking for candidates located within 60 miles of any of the listed hubs to foster more in-person connections while maintaining our flexible remote culture.

About This Role 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.

Team Overview 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.

What You’ll Bring 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.