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Venture Architect Jobs (NOW HIRING)

The Senior Solution Architect will work closely with business stakeholders, delivery teams ... joint venture between Porsche and forming specialist Schuler. * Competitive, above-average ...

Data Engineer

Arlington, VA · On-site

$150K - $155K/yr

Venture Global LNG ("Venture Global") is a long-term, low-cost provider of American-produced ... Develop architecture changes using infrastructure as code. * Create data architectures diagrams for ...

Enterprise Data Architect

Syracuse, NY · On-site

$130 - $200/hr

... venture capital, and high-tech help build sustainable businesses and expand our associates ... Define and lead the enterprise data architecture strategy, target‑state roadmap, and ...

... venture capital, and high-tech help build sustainable businesses and expand our associates ... This role is designed for a hands-on enterprise data architect with deep expertise in regulated ...

Enterprise Data Architect

Pasadena, CA · On-site

$130 - $200/hr

... venture capital, and high-tech help build sustainable businesses and expand our associates ... Define and lead the enterprise data architecture strategy, target‑state roadmap, and ...

As a startup founded and led by distributed systems visionaries, well funded by a top-tier venture ... architecture of distributed large scale software systems, kernels, operating systems, big data ...

Senior Solution Architect - Global Architecture Team Syntax is a leading Managed Cloud Provider for ... venture between Porsche and specialist Schuler. * Global travel - you can also work from abroad ...

Senior Architect

Denver, CO · On-site

$125K - $140K/yr

We are a venture-backed construction technology company reimagining residential construction by ... Position Summary The Senior Architect is a role for an experienced individual responsible for ...

Solutions Architect

New York, NY · On-site +1

$69 - $90.75/hr

We are backed by leading venture capital firms and a large number of strategic investors. Maybern ... What We're Looking For We are looking for a Solutions Architect to bridge the gap between the ...

AI Architect

Nashville, TN · On-site

$68.25 - $88.25/hr

... a venture fund, found technology start-up companies, establish a philanthropic arm, build a ... The Role The AI Architect is a member of a highly motivated CAA Tech team responsible for ...

Solutions Architect

New York, NY · On-site

$160K - $190K/yr

We are backed by leading venture capital firms and a large number of strategic investors. Maybern ... What We're Looking For We are looking for a Solutions Architect to bridge the gap between the ...

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Venture Architect information

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$46.5K

$128.8K

$201.5K

How much do venture architect jobs pay per year?

As of Sep 6, 2026, the average yearly pay for venture architect in the United States is $128,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $166,000.00 per year, depending on experience, location, and employer.

What is a venture architect?

A Venture Architect is a strategic role focused on identifying, designing, and building new business ventures within a company or startup studio. They combine business modeling, market research, and product strategy to validate and launch scalable opportunities. Working at the intersection of entrepreneurship, design, and technology, they collaborate with cross-functional teams to bring new ideas to market and drive growth.

What are the key skills and qualifications needed to thrive as a venture architect?

To thrive as a Venture Architect, you need strong business acumen, experience in entrepreneurship or venture building, and proficiency in market analysis and financial modeling, often supported by a background in business, consulting, or product management. Familiarity with tools like Excel, Tableau, and business model framework platforms, as well as knowledge of agile methodologies, is advantageous. Exceptional communication, creative problem-solving, and stakeholder management skills help Venture Architects excel in dynamic, cross-functional environments. These skills are crucial for successfully designing, validating, and launching innovative business ventures in a competitive market.

What are some common challenges venture architects face in their daily work?

Venture Architects often encounter challenges such as navigating high levels of uncertainty, rapidly validating new business ideas, and balancing competing priorities between innovation and operational feasibility. They must frequently pivot strategies based on market feedback and collaborate with multidisciplinary teams such as designers, engineers, and business leaders. Adapting to fast-changing environments, influencing stakeholders, and ensuring alignment with overall company goals require resilience and adaptability. Building strong relationships and maintaining a clear vision are key to overcoming these hurdles and driving successful venture outcomes.

What does a venture architect do?

A venture architect designs and develops new business ventures within organizations, focusing on innovation, strategy, and product development. They often work with cross-functional teams, utilize tools like business models and prototypes, and may have expertise in areas such as entrepreneurship or startup methodologies.
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What cities are hiring for Venture Architect jobs?

Cities with the most Venture Architect job openings:

What are the most commonly searched types of Venture Architect jobs?

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What states have the most Venture Architect jobs?

States with the most job openings for Venture Architect jobs include:

Infographic showing various Venture Architect job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 79% Physical, 7% Hybrid, and 14% Remote job distribution, with an average salary of $128,756 per year, or $61.9 per hour.

Director, AI Engineering

Venture Global, Inc.

Arlington, VA • On-site

Full-time

Posted 24 days ago


Job description

Venture Global LNG ("Venture Global") is a long-term, low-cost provider of American-produced liquefied natural gas. The company's Louisiana-based export projects service the global demand for North American natural gas and support the long-term development of clean and reliable North American energy supplies. Using reliable, proven technology in an innovative plant design configuration, Venture Global's modular, mid-scale plant design will replace traditional designs as it allows for the same efficiency and operational reliability at significantly lower capital cost.
We are seeking qualified applicants for the position:
Director, AI Engineering
Located:
Arlington
Summary
The Director of AI Engineering is responsible for building and leading Venture Global's AI Engineering function. This leader will define the strategy, architecture, and operating model for deploying AI agents and machine learning systems across the enterprise, spanning cloud and secure on-premises environments. The Director will stand up the platform, hire and lead a team of senior AI engineers and machine learning engineers, and partner closely with Data Engineering, Data Science, and business stakeholders to translate operational and commercial needs into deployed, revenue-generating and insight-driving AI solutions. This is a hands-on leadership role: the Director is expected to personally drive architecture decisions, build early prototypes, and set engineering standards. The Director will champion a safety-conscious, security-first posture in all AI deployments. The measures of an ideal candidate include technical depth, architectural judgment, people leadership, stakeholder communication, strategic thinking, and a strong bias for delivery. This new position will be based in our Arlington, VA headquarters and report to the Vice President of Software Engineering and Enterprise Analytics. The position is full-time in office located in Arlington, VA.
General Description Duties & Responsibilities
  • Define and execute the AI engineering strategy, roadmap, and operating model for the enterprise, aligned to business and operational priorities.
  • Build, lead, and mentor a team of senior AI engineers, platform engineers, applied AI engineers, and machine learning engineers.
  • Architect scalable, secure infrastructure for AI agent development and deployment across cloud and on-premises environments.
  • Lead the strategy for self-hosted open-weight large language models (LLMs), including model selection, fine-tuning, quantization, and serving optimization, while integrating commercial API-based models where appropriate.
  • Establish the reference architecture and engineering standards for agentic systems that analyze both batch and streaming data for operational and commercial use cases.
  • Partner with Data Engineering on ontology and semantic model design to ground AI systems in trusted enterprise data.
  • Oversee procurement of GPU servers and AI infrastructure, managing vendor relationships, capacity planning, and budget.
  • Partner with business unit leaders to identify and prioritize high-value AI use cases and drive them from concept to production.
  • Explore and enable development of custom machine learning models alongside LLM-based approaches.
  • Establish MLOps/LLMOps practices, model governance, monitoring, and documentation standards for maintainability and reliability.
  • Collaborate with IT and security leadership to operate within energy-sector security and governance frameworks.
  • Report on team performance, project outcomes, and business impact to executive leadership.

Qualifications
  • 10+ years of experience in software, data, or machine learning engineering, including 3+ years leading technical teams.
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or related field of study.
  • Demonstrated experience architecting and deploying production AI/ML systems at enterprise scale.
  • Hands-on experience with large language models, including self-hosting open-weight models and serving optimization (e.g., quantization, inference optimization, GPU utilization).
  • Experience designing and deploying agentic AI systems and the frameworks/patterns that support them.
  • Strong proficiency in Spark, Python and modern AI/ML tooling.
  • Experience building on cloud platforms and on-premises GPU infrastructure.
  • Proven ability to hire, lead, and mentor high-performing engineering teams.
  • Experience with infrastructure procurement, capacity planning, and vendor management.
  • Excellent interpersonal and communication skills, with the ability to translate technical concepts for executive and business audiences.
  • Strong work ethic with the ability to effectively prioritize, meet deadlines, adapt to changing priorities, and succeed in a fast-paced environment.

Preferred Qualifications
  • Advanced degree in a quantitative or technical discipline.
  • Experience with Databricks and streaming data platforms.
  • Experience deploying AI/ML solutions in or adjacent to operational technology (OT), industrial, or safety-critical environments.
  • Experience with ontology and semantic modeling approaches.
  • Familiarity with agent frameworks (e.g., LangGraph, CrewAI, or custom orchestration).
  • Experience in the energy, LNG, manufacturing, or heavy industrial sectors.
  • Experience utilizing DevOps/MLOps practices and tooling.
  • Strong technical writing skills.

Salary Range
$221,000 - $260,000
Venture Global LNG is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.