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Flex Forward Deployed Software Engineer Jobs in Texas

4MindsAI Inc.

Forward Deployed Engineer

Dallas, TX · On-site +1

Role Overview As a Forward Deployed Engineer (FDE), you'll operate at the intersection of ... software engineering * Strong experience with AI/LLM pipelines and open-source models including ...

Kyndryl

$113K - $136K/yr

Balance rapid software delivery and field prototyping with long-term platform stability, reducing ... As a Forward Deployed Engineer, you thrive in dynamic, fast-moving environments and are highly ...

Kyndryl

Data Engineer, Forward Deployed Engineer

Dallas, TX · Hybrid

$113K - $136K/yr

Balance rapid software delivery and field prototyping with long-term platform stability, reducing ... As a Forward Deployed Engineer, you thrive in dynamic, fast-moving environments and are highly ...

Clera

Founding Forward Deployed Engineer

Austin, TX · On-site

$110 - $135/hr

What We're Looking For Required * 3-10+ years of experience in a forward deployed engineering ... Strong software engineering fundamentals -- comfortable reading, writing, and debugging code across ...

CloudFactory

Forward Deployed Engineer

Dallas, TX · On-site

Cloudfactory is an AI enablement company where our software platform enables trusted AI at scale ... offer Forward deployed Engineering services that can advise, design, prove, develop, scale and ...

CloudFactory

Forward Deployed Engineer

Dallas, TX · On-site

Cloudfactory is an AI enablement company where our software platform enables trusted AI at scale ... offer Forward deployed Engineering services that can advise, design, prove, develop, scale and ...

DevRev

Forward Deployed Engineer

Austin, TX · On-site

It extends your existing software with AI-native apps and agents that work alongside your teams and ... About the role As a Forward Deployed Engineer at DevRev, you will work closely with our post-sales ...

DevRev

Forward Deployed Engineer

Austin, TX

About the role As a Forward Deployed Engineer at DevRev, you will work closely with our post-sales ... Experience: 3-5+ years in software development, systems integration, or platform engineering.

Seekr

Forward Deployed Engineer

Austin, TX

Forward Deployed Engineers (FDEs) work alongside our clients, embedding with their teams to tackle ... software, platform, or infrastructure engineering, with a track record of deploying operating ...

Vitol

Forward Deployed Engineer

Houston, TX · Hybrid

... on Forward Deployed AI Engineer to join our global AI team. This is a hybrid role across ... Minimum 3 years of experience in software engineering, AI engineering, machine learning, data ...

HRB

Forward Deployed AI Engineer (Palantir)

Dallas, TX · On-site

$120 - $180/hr

As a Forward Deployed AI Engineer, you will sit at the intersection of AI engineering, product ... Bachelor's or Master's degree (or equivalent practical experience) in Computer Science, Software ...

Seekr

Forward Deployed Engineer

Austin, TX · On-site

Forward Deployed Engineers (FDEs) work alongside our clients, embedding with their teams to tackle ... software, platform, or infrastructure engineering, with a track record of deploying operating ...

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Flex Forward Deployed Software Engineer information

What is a Flex Forward Deployed Software Engineer?

A Flex Forward Deployed Software Engineer is a technical professional who works closely with clients to design, build, and implement custom software solutions tailored to their specific needs. Unlike traditional software engineers, they are often embedded with customer teams or deployed on-site to solve unique business challenges using advanced technologies. Their role typically includes rapid prototyping, integrating new systems, and ensuring that software solutions are scalable and reliable. This position requires strong problem-solving skills, adaptability, and the ability to work collaboratively with both engineering and non-engineering stakeholders.

How does a Flex Forward Deployed Software Engineer typically collaborate with client teams during project deployments?

As a Flex Forward Deployed Software Engineer, you will often work closely with client stakeholders, project managers, and cross-functional technical teams throughout the deployment process. This role requires strong communication skills, as you'll gather requirements, adapt solutions to evolving client needs, and provide on-the-ground technical support. Collaboration usually involves regular meetings, code reviews, and working sessions to ensure solutions are tailored for each client environment. Expect to balance independent problem-solving with frequent teamwork to deliver high-impact software solutions efficiently.

What are the key skills and qualifications needed to thrive as a Flex Forward Deployed Software Engineer, and why are they important?

To thrive as a Flex Forward Deployed Software Engineer, you need strong software development skills, the ability to quickly learn new technologies, and a relevant degree in computer science or a related field. Familiarity with multiple programming languages, cloud platforms, and agile development tools is typically required, and experience with deployment automation or certifications like AWS Certified Developer can be advantageous. Excellent problem-solving abilities, adaptability, and strong communication skills help you collaborate with clients and cross-functional teams in dynamic environments. These competencies are crucial for rapidly delivering tailored solutions and ensuring successful software deployments in diverse and fast-changing client settings.

What are the most commonly searched types of Forward Deployed Software Engineer jobs in Texas?

The most popular types of Forward Deployed Software Engineer jobs in Texas are:

What cities in Texas are hiring for Flex Forward Deployed Software Engineer jobs?

Cities in Texas with the most Flex Forward Deployed Software Engineer job openings:

Flex Forward Deployed Software Engineer jobs near you

Forward Deployed Engineer - Agentic

Aligned Automation

Austin, TX • On-site

Full-time

Re-posted 19 days ago

Job description


About the Job
About Aligned Automation At Aligned Automation, we live by our "Better Together" philosophy to build a better world. As a strategic service provider to Fortune 500 companies, we help digitize enterprise operations and drive impactful business strategies. Our purpose goes beyond projects-we strive to deliver meaningful, sustainable change that shapes a more optimistic and equitable future. Our culture is deeply rooted in our 4Cs-Care, Courage, Curiosity, and Collaboration-ensuring that each employee is empowered to grow, innovate, and thrive in an inclusive workplace.
Experience: 8-15 Years
Forward Deployed Engineer - Agentic Transformation & AI-Native Portfolio Management
Job Description: Senior Forward Deployed Engineer (AI/ML)
About the Role
We're seeking a Senior Forward Deployed Engineer who has evolved from traditional ML engineering into the modern AI stack, bringing a consulting mindset to customer-facing delivery. You'll embed with clients to design, build, and ship production AI systems-translating ambiguous business problems into deployed solutions.
What You'll Do
  • Embeddirectly with client teams to scope, prototype, and deploy AI-poweredapplications end-to-end
  • Architectsolutions using modern LLM tooling (agentic frameworks, RAG pipelines,orchestration layers) while applying rigorous ML fundamentals where theystill matter
  • Translatebusiness requirements into technical roadmaps, then personally build thesystems that deliver them
  • Own thefull lifecycle: discovery, POC, production hardening, evaluation, andhandoff
  • Serveas the technical bridge between client stakeholders and internalproduct/engineering teams
  • Mentorclient and pod engineers on AI-native development practices

What We're Looking For
Core background
  • 8+years hands-on engineering, with demonstrated transition from classical ML(feature engineering, model training, MLOps) to the modern generative AIstack
  • Priorconsulting or client-facing delivery experience, comfortable withambiguity, shifting scope, and stakeholder management
  • Strongsoftware engineering fundamentals (production Python, APIs, clouddeployment)

Traditional ML foundation
  • Experiencebuilding and deploying supervised/unsupervised models, feature pipelines,and evaluation frameworks
  • Understandingof when classical approaches outperform LLMs (and the judgment to choosecorrectly)

Modern AI stack
  • Hands-onexperience with LLM application development: prompt engineering, RAG,agentic workflows, tool use, and function calling
  • Familiaritywith orchestration frameworks (LangChain, LlamaIndex, or equivalent),vector stores, and evaluation/observability tooling
  • Experienceshipping LLM systems to production, including latency, cost, andreliability tradeoffs

Consulting DNA
  • Excellentwritten and verbal communication; can present to both engineers andexecutives
  • Self-directed,able to lead engagements with minimal oversight
  • Biastoward shipping working software over polished slides

What Success Looks Like
Within 6 months, you've independently led at least two client engagements from discovery to production deployment, established repeatable delivery patterns, and become a trusted technical advisor to client leadership.

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