Forward Deployed Engineering Jobs in USA with Visa Sponsorship
Forward Deployed Engineering roles sit at the intersection of software development and customer-facing consulting, making them a strong fit for H-1B visa and O-1 visa sponsorship. Most employers classify this as a specialty occupation requiring a bachelor's degree in computer science or a related engineering field. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsForward Deployed Engineer
Collaborate closely with customers to architect, implement, and optimize customized, AI-driven solutions that leverage Qurrent's advanced platform to revolutionize their operations and achieve their unique business goals.
Responsibilities:
- Leverage cutting-edge LLMs to build reliable systems of multi-AI agent workflows in companies
- Lead the end-to-end lifecycle of AI solution delivery, from initial customer needs assessment to successful deployment and ongoing support.
- Write Python applications that will deliver on project requirements documents, ensuring all deliverables are met on time and within budget.
- Partner with customers to identify and re-engineer business processes for optimization through AI integration, leveraging Qurrent’s advanced Operating System.
- Utilize your expertise in AI tools and Large Language Models (LLMs) to create and develop bespoke AI solutions as part of Qurrent’s engineering team.
- Develop and present demos for presales meetings to effectively communicate the potential of Qurrent’s solutions.
- Convey customer insights, driving continuous improvement of Qurrent’s Operating System.
You’ll also have the exciting opportunity to:
- Shape the future of AI Solutions at Qurrent: As a key member of the team, you’ll play a crucial role in defining how we deliver AI solutions, with opportunities to grow into leadership roles.
- Own a significant equity stake in a high-growth startup: Join us at the forefront of the AI revolution and share in the potential rewards of our success.
- Continuously learn and grow: Immerse yourself in a culture of innovation, surrounded by brilliant minds and cutting-edge technology.
Qualifications
- 6+ years of experience in building complex technical projects in Python, preferably within the AI or related technology sectors.
- Technical and conversational fluency in AI, LLMs, Machine Learning and at least one of the major clouds (AWS, GCP, Azure)
- Strong understanding of AI concepts, particularly in the use of Large Language Models (LLMs) and other AI techniques including RAG, agentic workflows, fine tuning, or other LLM-based tools.
- Proficiency in process mapping and process re-engineering, with a passion for optimizing and re-imagining workflows.
- Proficiency in full-stack software development, and/or willingness to learn new technologies and frameworks
- Experience putting ML/AI into production, and ability to talk through best practices and pitfalls.
- Experience in creating effective demos and presentations for pre-sales engagements.
- Demonstrated track record of delivering projects that exceed customer expectations.
- Strong analytical and problem-solving skills, with a proactive and results-oriented approach.
- Strong consultative and communication skills, and the ability to convey complex technical concepts to diverse stakeholders.
Bonus Points:
- Experience working with bespoke AI solutions or custom technology implementations.
- Familiarity with customer research methodologies and a passion for understanding user needs.
What We Offer:
- The opportunity to be at the forefront of the AI revolution, shaping how businesses transform through this powerful technology.
- A dynamic and collaborative work environment where your contributions have a direct impact.
- A competitive compensation package with significant equity upside.
- The chance to work on challenging and rewarding projects with a talented and passionate team.
- Continuous learning and development opportunities in a supportive environment.
Qurrent offers excellent benefits, competitive compensation packages and generous equity plans. The base salary pay range for this role is $110,000 - 200,000 USD.
Qurrent is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws.
Forward Deployed Engineer
Collaborate closely with customers to architect, implement, and optimize customized, AI-driven solutions that leverage Qurrent's advanced platform to revolutionize their operations and achieve their unique business goals.
Responsibilities:
- Leverage cutting-edge LLMs to build reliable systems of multi-AI agent workflows in companies
- Lead the end-to-end lifecycle of AI solution delivery, from initial customer needs assessment to successful deployment and ongoing support.
- Write Python applications that will deliver on project requirements documents, ensuring all deliverables are met on time and within budget.
- Partner with customers to identify and re-engineer business processes for optimization through AI integration, leveraging Qurrent’s advanced Operating System.
- Utilize your expertise in AI tools and Large Language Models (LLMs) to create and develop bespoke AI solutions as part of Qurrent’s engineering team.
- Develop and present demos for presales meetings to effectively communicate the potential of Qurrent’s solutions.
- Convey customer insights, driving continuous improvement of Qurrent’s Operating System.
You’ll also have the exciting opportunity to:
- Shape the future of AI Solutions at Qurrent: As a key member of the team, you’ll play a crucial role in defining how we deliver AI solutions, with opportunities to grow into leadership roles.
- Own a significant equity stake in a high-growth startup: Join us at the forefront of the AI revolution and share in the potential rewards of our success.
- Continuously learn and grow: Immerse yourself in a culture of innovation, surrounded by brilliant minds and cutting-edge technology.
Qualifications
- 6+ years of experience in building complex technical projects in Python, preferably within the AI or related technology sectors.
- Technical and conversational fluency in AI, LLMs, Machine Learning and at least one of the major clouds (AWS, GCP, Azure)
- Strong understanding of AI concepts, particularly in the use of Large Language Models (LLMs) and other AI techniques including RAG, agentic workflows, fine tuning, or other LLM-based tools.
- Proficiency in process mapping and process re-engineering, with a passion for optimizing and re-imagining workflows.
- Proficiency in full-stack software development, and/or willingness to learn new technologies and frameworks
- Experience putting ML/AI into production, and ability to talk through best practices and pitfalls.
- Experience in creating effective demos and presentations for pre-sales engagements.
- Demonstrated track record of delivering projects that exceed customer expectations.
- Strong analytical and problem-solving skills, with a proactive and results-oriented approach.
- Strong consultative and communication skills, and the ability to convey complex technical concepts to diverse stakeholders.
Bonus Points:
- Experience working with bespoke AI solutions or custom technology implementations.
- Familiarity with customer research methodologies and a passion for understanding user needs.
What We Offer:
- The opportunity to be at the forefront of the AI revolution, shaping how businesses transform through this powerful technology.
- A dynamic and collaborative work environment where your contributions have a direct impact.
- A competitive compensation package with significant equity upside.
- The chance to work on challenging and rewarding projects with a talented and passionate team.
- Continuous learning and development opportunities in a supportive environment.
Qurrent offers excellent benefits, competitive compensation packages and generous equity plans. The base salary pay range for this role is $110,000 - 200,000 USD.
Qurrent is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws.
See all 477+ Forward Deployed Engineering Jobs
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Get Access To All JobsTips for Finding Forward Deployed Engineering Jobs
Confirm the specialty occupation classification upfront
Forward Deployed Engineer roles must qualify as specialty occupations for H-1B sponsorship. Ask recruiters whether the position requires a specific technical degree, not just any bachelor's, before investing time in the interview process.
Target companies with established visa programs
Larger enterprise software companies and defense contractors are far more likely to have in-house immigration counsel and a repeatable H-1B process. Startups may be willing but lack the infrastructure, which slows sponsorship significantly.
Prepare to demonstrate both technical and client-facing credentials
USCIS scrutinizes hybrid roles more closely. Build a portfolio that clearly shows engineering output, not just project management or consulting work, to strengthen your specialty occupation case during the petition review.
Time your job search around the H-1B cap registration window
Cap-subject H-1B registrations open in March for an October 1 start date. Securing an offer by February gives your employer time to prepare and register before the window closes, avoiding a full year's delay.
Explore cap-exempt employers in defense and government contracting
Forward Deployed Engineers at companies primarily contracting with federal agencies may qualify for cap-exempt H-1B petitions, allowing year-round filing without lottery risk. Ask recruiters explicitly about the employer's cap-exempt status.
Australian citizens should specifically pursue the E-3 visa
The E-3 visa has no lottery, no annual cap pressure, and processes in weeks rather than months. Forward Deployed Engineering easily meets the specialty occupation standard, making E-3 one of the most efficient paths for Australian applicants.
Frequently Asked Questions
Does Forward Deployed Engineering qualify as a specialty occupation for H-1B purposes?
Yes, in most cases. USCIS evaluates whether the role normally requires a bachelor's degree or higher in a specific technical field. Forward Deployed Engineering roles at enterprise software companies typically require a degree in computer science, software engineering, or a closely related discipline, which satisfies the specialty occupation standard. Roles where any degree field is acceptable are harder to sponsor.
Which visa types do employers typically use to sponsor Forward Deployed Engineers?
H-1B visa is the most common path for cap-subject employers. Australian citizens can pursue the E-3 visa, which bypasses the lottery entirely. Candidates with an established internal transfer track may qualify for the L-1B if moving from an overseas office. O-1A is an option for engineers with demonstrated recognition, such as patents, published research, or significant industry awards. Browse current openings on Migrate Mate to see which employers are actively sponsoring.
Is a computer science degree required, or do other degrees qualify?
A computer science or software engineering degree is the clearest path to approval, but related fields like electrical engineering, mathematics, or information systems can qualify if the degree is directly applicable to the technical work. Some employers also accept three years of relevant work experience per year of missing education. USCIS focuses on whether the degree field logically connects to the specific role duties, not just the title.
Do Forward Deployed Engineering roles at defense contractors offer any H-1B advantages?
Yes. Companies that primarily perform work under federal grants or contracts with a government research or education mission may qualify as cap-exempt H-1B employers, allowing petitions to be filed year-round without lottery exposure. This is particularly common at defense contractors and federally funded research centers. Confirm the employer's cap-exempt status directly with their immigration team before assuming this benefit applies.
How does the hybrid consulting-and-engineering nature of this role affect sponsorship approval?
USCIS pays closer attention to roles that blend technical and client-facing responsibilities, particularly if the job description emphasizes communication or project management over engineering output. Employers and immigration attorneys typically address this by documenting that the core duties require theoretical and practical application of computer science knowledge. Strong degree alignment and detailed offer letters describing technical deliverables significantly reduce the risk of a Request for Evidence.
What is the prevailing wage requirement for sponsored Forward Deployed Engineering jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.