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Remote Forward Deployed Software Engineer Jobs in Texas

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Senior Software Engineer

Austin, TX · On-site +1

$121K - $160K/yr

Located and able to work in SF Bay Area (with remote opportunities) Job Responsibilities Overall ... Write and deploy code for existing features. * Help with recruiting for additional team members.

Striveworks

Senior Software Engineer

Austin, TX · On-site +1

$160K - $200K/yr

The Role As a Senior Software Engineer at Striveworks, you'll be challenged-and trusted-on day one ... Optimizing, deploying, and refining AI models and algorithms This position offers a fully remote ...

Forthea

Senior Software Developer

Houston, TX · On-site +1

$52 - $68.75/hr

Forward-deployed engineering experience - comfort embedding with non-technical stakeholders, translating ambiguous business problems into working software, and iterating quickly with users in the ...

Forthea

Senior Software Developer

Houston, TX · On-site +1

$52 - $68.75/hr

Forward-deployed engineering experience - comfort embedding with non-technical stakeholders, translating ambiguous business problems into working software, and iterating quickly with users in the ...

PNC Bank

Software Engineer Sr

Dallas, TX · On-site +1

$121K - $159K/yr

As a Software Engineer Sr within PNC's Technology organization, you will be based in Pittsburgh, PA ... Writes code, tests and deploys software. * Prepares technical and procedural documentation required ...

PNC Financial Services Group

Software Engineer Sr

Dallas, TX · On-site +1

$121K - $159K/yr

As a Software Engineer Sr within PNC's Technology organization, you will be based in Pittsburgh, PA ... Writes code, tests and deploys software. * Prepares technical and procedural documentation required ...

Wells Fargo

Senior Software Engineer

Irving, TX · On-site +1

$117K - $155K/yr

Products designed, developed, and deployed by this team enable Infrastructure-as-Code (IaC) and its ... Collaborate and influence other software engineers on modern development practices and quality ...

Kyndryl

$63K - $114K/yr

We are always moving forward - always pushing ourselves to go further in our efforts to build a ... You will have the opportunity to architect the solution, test the code, and deploy and build a CI ...

Rokt

Senior Software Engineer

Austin, TX · Remote

$335K - $400K/yr

Design, develop, test, deploy, maintain and improve scalable services dealing with ultra high ... Willingness to work 4 day in-office, 1 day remote weekly schedule. + Experience relevant to one or ...

Emergent Software

Software Engineer Team Lead

Fort Worth, TX · On-site +1

$120K - $140K/yr

This role is fully remote working a 9/80 schedule with alternating Fridays off. Candidates must be ... Our client is seeking a Software Engineer Team Lead to help drive the next phase of growth for its ...

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All JobsForward Deployed Software Engineer JobsRemote Forward Deployed Software Engineer JobsRemote Forward Deployed Software Engineer Jobs in Texas

Remote Forward Deployed Software Engineer information

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

To excel as a Remote Forward Deployed Software Engineer, you need strong programming skills, experience in software deployment, and a bachelor's degree in computer science or a related field. Familiarity with cloud platforms, version control systems like Git, and continuous integration/continuous deployment (CI/CD) tools is typically required. Exceptional problem-solving, communication, and self-management skills help you collaborate with clients and distributed teams effectively. These abilities ensure you can deliver tailored technical solutions efficiently and adapt to the unique challenges of remote and client-facing environments.

What is a Remote Forward Deployed Software Engineer?

A Remote Forward Deployed Software Engineer is a software engineer who works offsite (remotely) and is embedded directly with a client or customer team to help implement, customize, and integrate technical solutions. They often serve as both technical experts and liaisons, working closely with clients to understand their needs and deliver tailored software products. Their role typically involves travel or virtual collaboration with client teams, rapid problem-solving, and adapting existing software to unique business requirements. This position requires strong communication skills, technical proficiency, and the ability to work independently from a remote location.

How does a Remote Forward Deployed Software Engineer typically collaborate with client teams and internal stakeholders?

As a Remote Forward Deployed Software Engineer, you'll work closely with client teams to understand their unique technical needs and integrate solutions directly into their environments. Collaboration often happens through regular video calls, shared documentation, and agile project management tools. You'll also coordinate with internal engineering, product, and support teams to ensure that client requirements are met while maintaining high code quality. Building strong communication channels is key to success in this role, as you'll often act as the primary technical liaison between your company and the client.

What is the difference between Remote Forward Deployed Software Engineer vs Remote Software Engineer?

AspectRemote Forward Deployed Software EngineerRemote Software Engineer
FocusDirectly interacts with clients and deploys solutions on-site or close to the customerDevelops software primarily in a remote environment without direct client deployment responsibilities
Work EnvironmentHybrid or on-site with client engagementFully remote, often within a development team
ResponsibilitiesCustomizing, deploying, and maintaining solutions at client locationsDesigning, coding, and testing software applications
Skills & CertificationsStrong communication, deployment, and client-facing skills; relevant certifications varyProgramming, software development, and possibly cloud certifications

The main difference is that Remote Forward Deployed Software Engineers work closely with clients, deploying solutions on-site or near the customer, while Remote Software Engineers focus on developing software remotely without direct deployment duties. Both roles require technical expertise, but their work environments and responsibilities differ significantly.

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 are popular job titles related to Remote Forward Deployed Software Engineer jobs in Texas? For Remote Forward Deployed Software Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Forward Deployed Software Engineer jobs in Texas look for? The top searched job categories for Remote Forward Deployed Software Engineer jobs in Texas are:
What cities in Texas are hiring for Remote Forward Deployed Software Engineer jobs? Cities in Texas with the most Remote Forward Deployed Software Engineer job openings:
Remote Forward Deployed Software Engineer jobs near you
Infographic showing various Remote Forward Deployed Software Engineer job openings in Texas as of July 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.
Forward Deployed Engineer (Generative AI)

Forward Deployed Engineer (Generative AI)

Tiger Analytics Inc.

Austin, TX • On-site, Remote

Full-time

Posted 7 days ago

Job description

Tiger Analytics is looking for experienced Forward Deployment Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
Role Overview
The Forward Deployment Engineer (FDE) drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across multi-cloud environments (AWS, Azure, GCP). You will bridge the gap between AI research and production-grade cloud infrastructure.
You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.
Requirements
Agentic Design & Implementation
• Develop intelligent agents using Vertex AI Agent Builder to automate complex
business workflows.
• Leverage the Agent Developer Kit (ADK) to build and manage multi-agent systems
that collaborate to solve end-to-end business challenges.
• Implement tools like MCP (Model Context Protocol) Toolbox to securely connect
agents to enterprise databases like BigQuery and Spanner.
AI on Data Strategy
• Utilize Vertex AI for model training, tuning, and deployment, ensuring seamless
integration with BigQuery for feature engineering.
• Build and optimize streaming data pipelines (e.g., via Dataflow) to execute
real-time inference using RunInference API or Vertex AI endpoints.
• Ground AI models in live business context using vector engines within BigQuery or
AlloyDB to eliminate "AI amnesia".
Operational Excellence (Soft Skills)
• Active Participation: Show up promptly for all internal and client-facing meetings.
• Transparent Communication: Provide regular, structured status updates to team
members and stakeholders regarding project milestones and technical blockers.
• Proactive Collaboration: Demonstrate the ability to ask for help when facing
technical hurdles and contribute to a collaborative troubleshooting environment.
• Consultative Approach: Navigate corporate environments to translate high-level
business goals into robust technical architectures.
Technical Qualifications
• Vertex AI Mastery: Proven experience with Model Garden, Vertex AI Pipelines, and
model evaluation.
• Data Proficiency: Advanced knowledge of SQL for BigQuery, Python for ML
engineering, and data preprocessing techniques (scaling, encoding, imputation).
• Cloud Infrastructure: Hands-on experience with Google Cloud Storage and Vertex
AI endpoints.
• Emerging Tech: Familiarity with stateful real-time processing and the latest
innovations in agentic architectures.
Benefits
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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