Solutions Engineer

NukuDo; Plano (TX); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Health insurance and vision/dental

401(k) benefits

Paid time off

Job summary

nuKudo invites engineers to join a paid, ten-week Forward Deployed Engineer (FDE) program in which you are hired and paid from day one. The cohort trains you to build, deploy, and support AI in real enterprise environments, with customer-facing responsibilities and mentorship from practitioners.

Graduates transition to full-time FDE roles, continuing to grow through customer exposure, real deployments, and ongoing mentorship. Relocation to Dallas is noted as part of the program logistics.

Qualifications

• Two to three years of professional engineering experience.
• Comfortable in Python and production codebases.
• Willing to relocate to Dallas for the role and program.

Responsibilities

• Help design and deploy AI solutions in enterprise environments.
• Collaborate with customers and engineers to implement production deployments.
• Participate in a 10-week paid program while transitioning to a full-time FDE role.

Skills

Engineering experience

Python

Production codebase

Tools

AWS

Docker

Cloud platforms

Job description

Your future in
AI starts here.
Become a Forward
Deployed Engineer.

Join a selective cohort, get hired by nuKudo, and spend 10 weeks building the technical and client-facingskills to deploy AI in real enterprise environments.

Hired and paid from day one Full-time employment

“I wanted to build AI that actually ships.”Future FDE mindset

Trusted by Fortune 500 companies and global enterprises

nuKudo develops technology professionals prepared to build, deploy, and support solutions in complexenterprise environments.

and many more

The demand for this role is exploding

Eighteen months ago Forward Deployed Engineer was a Palantir job title. It is now the role everyenterprise AI program is competing to hire.

800%

The new hot job in AI: forward deployed engineers

Postings for the role rose by more than 800 percent between January and September 2025, based onanalysis of Indeed data.

Microsoft commits $2.5 billion to AI deployment

Microsoft Frontier Company will embed roughly 6,000 experts inside customers. AWS committed $1 billionto its own deployment venture two days earlier.

Business Insider 5,330

Openings jumped 729 percent in a single year

Indeed listings climbed from roughly 643 in April 2025 to 5,330 twelve months later.

The new hot job in AI: forward deployed engineers

Postings rose more than 800 percent between January and September 2025.

AI giants bet billions on the most expensive job in enterprise

MIT found around 95 percent of enterprise AI pilots showed no measurable impact, and traced it tointegration rather than the models.

1,000

Today's hottest role: forward deployed engineer

Salesforce has committed to building a team of 1,000 forward deployed engineers to staff its own AIdeployments.

Everything is built around
what you become

The cohort builds a foundation for multiple customer-facing and applied AI career paths.

Hands-on from day one

Build real enterprise AI solutions instead of completing disconnected classroom exercises.

Mentored by practitioners

Learn from engineers who have shipped, integrated, and supported production systems.

Career-ready outcomes

Graduate with a portfolio, stronger client communication, and a production-ready capstone.

Growth beyond the cohort

Continue developing through customer exposure, mentorship, and real-world deployment experience.

FDE roles you
can grow into

The cohort builds a foundation for multiple customer-facing and applied AI career paths.

AI Maya R. Forward Deployed Engineer Python RAG

AI Andre O. AI Solutions Engineer Agents APIs

PLT Priya N. AI Platform Engineer AWS Docker

ML Marcus L. Machine Learning Engineer Models MLOps

AI Maya R. Forward Deployed Engineer Python RAG AI Andre O. AI Solutions Engineer Agents APIs PLT Priya N. AI Platform Engineer AWS Docker ML Marcus L. Machine Learning Engineer Models MLOps and more...

Ten weeks from
engineer to FDE

The cohort builds a foundation for multiple customer-facing and applied AI career paths.

Week 1 Foundations AI, code, cloud, data, and enterprise systems.

Weeks 2 to 3 Build Create AI applications, APIs, and agent workflows.

Week 4 Integrate Connect models, tools, data, and business systems.

Weeks 5 to 6 Deploy Ship secure solutions into real environments.

Week 7 Work like an FDE Discovery, solution design, and stakeholder communication.

Weeks 8 to 9 Refine Improve performance, reliability, security, and monitoring.

Week 10 Demo Day Present your solution and defend your decisions.

Build practical experience across the languages, cloud platforms, AI tools, deployment systems, and securitytechnologies used in real enterprise environments.

Choose the path that
matches your experience

Both tracks lead toward customer-facing AI deployment work. Your experience determines where you begin andhow much ownership you take during the cohort.

2 to 3 Years required

Apply to this track if you

• Have two to three years of professional engineering experience
• Work in software, backend, cloud, data, ML, DevOps, or support engineering
• Are comfortable in Python and have worked in a production codebase
• Want AI to be the job rather than something you read about on weekends

Build under the guidance of engineers who have shipped AI in production, own real components of the capstone, and present your own work at demo day.

5+ Years required

Apply to this track if you

• Have five or more years of professional engineering experience
• Have owned a complex technical project from start to delivery
• Work as a senior or staff engineer, architect, consultant, or engineering manager
• Can hold a technical conversation with a customer without a manager in the room

In the cohort you will

Lead technical workstreams, own customer facing conversations, shape solution design, and mentorassociates rather than repeat fundamentals you already have.

Both tracks require Legal right to work in the US Relocation to Dallas Full time for 10 weeks Technical background

We invest in your career
from day one

Training is only one part of the experience. You join nuKudo as an employee and receive the structure,support, and benefits needed to focus on becoming deployment-ready.

Paid full-time position

Earn a salary while you complete the intensive FDE program.

No tuition

nuKudo covers the cost of training. There is no tuition or income-share agreement.

Health, dental, vision, and 401(k) benefits are included based on final approved employment terms.

Learn from practitioners across AI, cloud, software, cybersecurity, and enterprise delivery.

Build your resume, portfolio, interview confidence, and executive presentation skills.

Continue learning through nuKudo mentors, peers, customer projects, and alumni connections.

Learn from people
who've done the work

Your trainers are experienced Forward Deployed Engineers, technical leaders, and builders who have solvedreal customer problems in production environments. They'll teach you how to think, build, troubleshoot,and communicate like an FDE while sharing lessons from real work.

Frequently asked questions

01 What is a Forward Deployed Engineer?

An FDE works directly with customers to understand complex problems, build technical solutions,integrate them into existing systems, and support deployment and adoption.

02 Is this a traditional training course?

No. It is an employment and career development pathway. You are hired first, then trained throughintensive practical work in applied AI engineering and enterprise delivery.

03 Do I need previous AI experience?

Requirements depend on the track. You should have a relevant technical foundation, strong problemsolving ability, and the capacity to learn quickly. The FDE Handbook covers eligibility in full.

04 Is the program paid?

Yes. You are a paid nuKudo employee for all 10 weeks of training, not a student. Compensation andbenefits are shared with qualified applicants during the process.

05 What happens after the program?

Graduates work on nuKudo initiatives or customer projects, matched on skills, experience, performance,location, and business need.

06 Is there an employment commitment?

Yes. nuKudo pays your salary and the full cost of training, so we ask for a minimum service period inreturn. You will see the exact length, the terms, and the route to permanent conversion or directemployment in writing before you accept anything. Nothing about it is a surprise later.

07 Can experienced engineers apply?

Yes. The experienced track is built for established engineers moving into AI deployment, technicalleadership, and customer facing delivery.

Build AI that
moves beyond the demo.

Join a selective program designed to develop the engineers who bring AI into real enterprise environments.