Forward Deployed Engineering Jobs in Texas
Forward Deployed Engineering jobs in Texas are in strong demand, concentrated in defense contracting, enterprise software, and industrial technology sectors, with openings at every level from associate engineers to senior technical leads. Austin, Dallas, and Houston are the primary hiring centers, anchored by employers like Dell Technologies, Lockheed Martin, and Palantir, all of which maintain significant Texas operations. The most sought-after specialties in the state are cloud infrastructure deployment, systems integration, and customer-facing technical implementation. Find a role that fits below and apply directly.
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Vitol is a leader in energy and commodities. Vitol produces, manages and delivers energy and commodities to consumers and industry worldwide. In addition to its primary business of trading, Vitol is invested in infrastructure globally, with $10+billion invested in long-term assets.
Vitol’s customers include national oil companies, multinationals, leading industrial companies and utilities. Founded in Rotterdam in 1966, today Vitol serves its customers from some 40 offices worldwide.
Our people are our business. Talent is precious to us and we create an environment in which individuals can reach their full potential, unhindered by hierarchy. Our team comprises more than 65+ nationalities and we are committed to developing and sustaining a diverse work force. Learn more about us here.
This Role is located in Houston, TX - In office 5x a week
Job Description
We are looking for a hands-on Forward Deployed AI Engineer to join our global AI team. This is a hybrid role across engineering and commercial teams. You will sit directly with commercial users, build and ship agentic solutions that solve real workflow problems, and communicate technical requirements back to our foundational engineering teams.
You will own technical design and delivery from prototype to production. As Vitol's AI portfolio grows, you will help shape what gets built, in what order, and make sure what the team builds gets used.
The successful candidate will join a growing, collaborative team of experienced practitioners who are solving some of the most challenging and impactful problems the energy industry is facing, as well as pushing the boundaries around the 'art of the possible'.
Key Responsibilities
- Embed with commercial teams to understand their workflows, constraints, and business objectives; identify high-value opportunities for AI solutions
- Translate business problems into clear technical requirements, solution designs, and delivery plans to build, integrate, and deploy agentic solutions
- Development of the firm's internal GenAI platform, extending its capabilities through new integrations, data connectors, MCP servers, tool-calling, and domain-specific skills
- Apply a broad range of AI and modelling techniques, including LLMs, RAG, NLP, time-series forecasting, and optimization, to commodity pricing, supply/demand signals, trade flow analysis, and operational optimization problems
- Communicate requirements, technical constraints, and reusable patterns back to the foundational AI and platform engineering teams
- Present capabilities, assumptions, and limitations clearly to traders and senior management, supporting confident commercial decision-making and building trust in AI outputs among technical and non-technical audiences
- Champion AI best practice on the desk and across the team: participate in code reviews, experiment and evaluation design, and tooling decisions; mentor colleagues and help raise the overall standard of engineering and applied-AI practice
Qualifications
- Degree in computer science, statistics, mathematics, data science, or a related quantitative field
- Fluency in Python for both applied AI and engineering purposes: clean, modular, well-documented code, with strong understanding of software engineering best practices including version control, testing, and code review
- Minimum 3 years of experience in software engineering, AI engineering, machine learning, data science or a related hands-on technical role
- Practical understanding of generative AI concepts, including prompt engineering, retrieval-augmented generation, tool use, agentic workflows, model evaluation, and responsible AI considerations. Including proficiency with modern GenAI orchestration and tooling frameworks (e.g. LangChain, LlamaIndex, or equivalent)
- Experience with cloud platforms (AWS preferred)
- Excellent communication skills, both written and verbal; able to engage effectively with technical teams and commercial stakeholders
- Self-motivated and comfortable working autonomously in a fast-paced environment, with a collaborative, non-political style and high personal integrity
- Strong curiosity for emerging AI developments, with a proactive commitment to continuously learning, experimenting and expanding your skills
- Genuine intellectual curiosity about commodities markets, global energy flows, and the commercial dynamics of trading; willingness to develop deep domain knowledge as part of the role
- Strong management commitment to putting AI at the heart of the future of Vitol's operations
This Role is located in Houston, TX - In office 5x a week
Additional Information
- Competitive salary and benefits package
- Large diversity of projects with real-world impacts on a truly global scale
- Entrepreneurial environment within a flat hierarchy, where great ideas come to life quickly
- Direct, close collaboration with trading desks and other business units across our key regions (e.g. London, Singapore, Houston, Geneva)
- A highly motivated AI team comprised of experienced individuals with a supportive attitude and great team spirit
- Being part of the energy transition through increased emphasis on renewable and alternative energy sources at a pivotal moment in the industry
Comprehensive benefit coverage includes:
- Medical
- Dental
- Vision
- Paid Vacation
- 401k with company contributions
- Life insurance
- Short-term & Long-term disability
All your information will be kept confidential according to EEO guidelines.
Vitol is a leader in energy and commodities. Vitol produces, manages and delivers energy and commodities to consumers and industry worldwide. In addition to its primary business of trading, Vitol is invested in infrastructure globally, with $10+billion invested in long-term assets.
Vitol’s customers include national oil companies, multinationals, leading industrial companies and utilities. Founded in Rotterdam in 1966, today Vitol serves its customers from some 40 offices worldwide.
Our people are our business. Talent is precious to us and we create an environment in which individuals can reach their full potential, unhindered by hierarchy. Our team comprises more than 65+ nationalities and we are committed to developing and sustaining a diverse work force. Learn more about us here.
This Role is located in Houston, TX - In office 5x a week
Job Description
We are looking for a hands-on Forward Deployed AI Engineer to join our global AI team. This is a hybrid role across engineering and commercial teams. You will sit directly with commercial users, build and ship agentic solutions that solve real workflow problems, and communicate technical requirements back to our foundational engineering teams.
You will own technical design and delivery from prototype to production. As Vitol's AI portfolio grows, you will help shape what gets built, in what order, and make sure what the team builds gets used.
The successful candidate will join a growing, collaborative team of experienced practitioners who are solving some of the most challenging and impactful problems the energy industry is facing, as well as pushing the boundaries around the 'art of the possible'.
Key Responsibilities
- Embed with commercial teams to understand their workflows, constraints, and business objectives; identify high-value opportunities for AI solutions
- Translate business problems into clear technical requirements, solution designs, and delivery plans to build, integrate, and deploy agentic solutions
- Development of the firm's internal GenAI platform, extending its capabilities through new integrations, data connectors, MCP servers, tool-calling, and domain-specific skills
- Apply a broad range of AI and modelling techniques, including LLMs, RAG, NLP, time-series forecasting, and optimization, to commodity pricing, supply/demand signals, trade flow analysis, and operational optimization problems
- Communicate requirements, technical constraints, and reusable patterns back to the foundational AI and platform engineering teams
- Present capabilities, assumptions, and limitations clearly to traders and senior management, supporting confident commercial decision-making and building trust in AI outputs among technical and non-technical audiences
- Champion AI best practice on the desk and across the team: participate in code reviews, experiment and evaluation design, and tooling decisions; mentor colleagues and help raise the overall standard of engineering and applied-AI practice
Qualifications
- Degree in computer science, statistics, mathematics, data science, or a related quantitative field
- Fluency in Python for both applied AI and engineering purposes: clean, modular, well-documented code, with strong understanding of software engineering best practices including version control, testing, and code review
- Minimum 3 years of experience in software engineering, AI engineering, machine learning, data science or a related hands-on technical role
- Practical understanding of generative AI concepts, including prompt engineering, retrieval-augmented generation, tool use, agentic workflows, model evaluation, and responsible AI considerations. Including proficiency with modern GenAI orchestration and tooling frameworks (e.g. LangChain, LlamaIndex, or equivalent)
- Experience with cloud platforms (AWS preferred)
- Excellent communication skills, both written and verbal; able to engage effectively with technical teams and commercial stakeholders
- Self-motivated and comfortable working autonomously in a fast-paced environment, with a collaborative, non-political style and high personal integrity
- Strong curiosity for emerging AI developments, with a proactive commitment to continuously learning, experimenting and expanding your skills
- Genuine intellectual curiosity about commodities markets, global energy flows, and the commercial dynamics of trading; willingness to develop deep domain knowledge as part of the role
- Strong management commitment to putting AI at the heart of the future of Vitol's operations
This Role is located in Houston, TX - In office 5x a week
Additional Information
- Competitive salary and benefits package
- Large diversity of projects with real-world impacts on a truly global scale
- Entrepreneurial environment within a flat hierarchy, where great ideas come to life quickly
- Direct, close collaboration with trading desks and other business units across our key regions (e.g. London, Singapore, Houston, Geneva)
- A highly motivated AI team comprised of experienced individuals with a supportive attitude and great team spirit
- Being part of the energy transition through increased emphasis on renewable and alternative energy sources at a pivotal moment in the industry
Comprehensive benefit coverage includes:
- Medical
- Dental
- Vision
- Paid Vacation
- 401k with company contributions
- Life insurance
- Short-term & Long-term disability
All your information will be kept confidential according to EEO guidelines.
See All 70 Forward Deployed Engineering Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find JobsForward Deployed Engineering Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
Forward Deployed Engineering Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software18
- Consulting & Professional Services9
- Investment & Asset Management6
- Accounting & Auditing5
- Construction & Real Estate2
What Texas Employers Look For
The qualifications that appear most often in forward deployed engineering jobs across Texas.
- Bachelor's degree in computer science, engineering, or a related technical field required
- Hands-on experience deploying and troubleshooting software in customer production environments
- Strong communication skills to work directly with enterprise or government client teams
- Proficiency with cloud platforms such as AWS, Azure, or Google Cloud
- Ability to travel to customer sites across Texas and occasionally nationally
- Experience with scripting, APIs, or systems integration in a field deployment context
Forward Deployed Engineering Jobs in Texas: Frequently Asked Questions
How do you become a forward deployed engineering in Texas?
The most common path is a bachelor's degree in computer science, software engineering, electrical engineering, or a closely related field, followed by technical roles that involve direct customer interaction or systems deployment. Texas does not require a state-issued license for most forward deployed engineering positions, but employers in defense-adjacent industries may require a federal security clearance. Building hands-on experience through internships, co-ops, or IT support roles at Texas tech companies or defense contractors accelerates hiring.
Which companies hire forward deployed engineerings in Texas?
Employers hiring forward deployed engineerings in Texas right now include Deloitte, Logic, and Databricks, based on current listings on Migrate Mate as of August 2026. Texas's concentration of defense primes, enterprise software firms, and energy technology companies means demand for this role extends well beyond the major coastal tech hubs.
Which Texas cities have the most forward deployed engineering jobs?
Austin, Houston, and Dallas have the most forward deployed engineering openings in Texas. Austin leads because of its dense enterprise software and cloud technology sector, Dallas draws volume from its headquarters concentration in fintech and logistics, and Houston adds demand through its energy technology and industrial automation companies that rely heavily on on-site technical deployment teams.
Are there remote forward deployed engineering jobs in Texas?
Yes, but they're limited, since forward deployed engineering is by nature a customer-facing, on-site role built around deploying and supporting technology in client environments. About 49% of forward deployed engineering openings tied to Texas are remote or hybrid as of August 2026, which is lower than most software engineering disciplines. The portions most amenable to remote work are pre-deployment configuration, technical documentation, and post-launch monitoring support.
How can I get hired as a forward deployed engineering in Texas with little or no experience?
The most realistic entry path is through a technical support or systems administrator role at a Texas enterprise software company or defense contractor, then transitioning once you have demonstrated hands-on deployment experience. Large Texas employers like Dell Technologies and Lockheed Martin run new-graduate technical programs and rotational associate engineer tracks that serve as direct pipelines. Building a portfolio of lab or internship projects involving cloud deployment, API integration, or customer environment troubleshooting gives candidates without commercial experience a concrete edge.
Where can I find and apply to forward deployed engineering jobs in Texas?
You can find and apply to forward deployed engineering jobs in Texas on Migrate Mate, which lists current openings across the state. Search the available roles, find the ones that match your background and location, and apply directly to the employers posting them.
See All 70 Forward Deployed Engineering Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
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