Forward Deployed Engineer

Hello There

My name is Himanshu and I serve as the Recruitment Manager at Nexiva INC. I am reaching out to share an excellent career opportunity for the role of Full Stack Software Engineer with our esteemed client. If you are interested then please share your updated resume at

Job Description

Position : Full Stack Software Engineer - AI Application Developer
Location : Austin Texas Hybrid (3 days onsite per week) Must be local to Austin only
Duration : Long term contract

Position Overview

The client is seeking an experienced Forward Deployed Engineer (FDE) specializing in Artificial Intelligence and Modern Application Development. This role focuses on designing building deploying and rapidly iterating modern digital solutions and partner agencies.

The selected consultant will work directly with agency stakeholders product teams security teams and cloud engineers to modernize government technology through cloud-native development AI-enabled engineering automation and DevSecOps practices.

This position requires a hands-on engineer who can rapidly prototype ideas deliver production-ready solutions mentor development teams and help agencies responsibly adopt emerging technologies while remaining platform and vendor agnostic.

Role Summary

As a Forward Deployed Engineer you will:

• Design and develop modern cloud-native applications and APIs.
• Build AI-enabled solutions that solve real business challenges.
• Evaluate technologies based on business requirements security interoperability sustainability and cost-not vendor preference.
• Develop rapid prototypes and transform them into production-ready applications.
• Implement secure automation and DevSecOps best practices.
• Work directly with customers to translate business problems into technical solutions.
• Mentor internal development teams and promote knowledge transfer.
• Accelerate modernization initiatives while reducing dependency on legacy development models.

Key Responsibilities

• Develop enterprise-grade applications APIs Model Context Protocol (MCP) integrations and automation solutions.
• Design prototype deploy and support modern cloud-native applications.
• Build AI-powered applications and implement LLM-assisted development workflows.
• Integrate enterprise systems across agencies using secure and scalable architectures.
• Implement CI/CD pipelines Infrastructure as Code (IaC) containerization and cloud automation.
• Collaborate with stakeholders to gather requirements and deliver business-focused solutions.
• Troubleshoot production issues and perform root-cause analysis.
• Produce architecture documentation operational runbooks and technical documentation.
• Mentor agency developers through code reviews workshops and knowledge transfer sessions.
• Build reusable components developer tooling and modern engineering accelerators.
• Support DIRs enterprise AI initiatives and modernization programs.

Deliverables

• Production-ready applications and APIs
• Infrastructure as Code templates
• CI/CD pipelines and deployment automation
• Architecture diagrams and technical documentation
• Security compliance documentation
• AI development accelerators and reusable frameworks
• Knowledge transfer sessions and technical training

Required Qualifications

Candidates should possess 8 years of professional experience in modern software engineering and cloud development.

Technical Expertise

• Modern software engineering and application development
• Cloud platforms (Azure AWS Google Cloud or equivalent)
• TypeScript / JavaScript
• Python and/or C#
• React Angular or modern web frameworks
• REST APIs and enterprise integrations
• LLM integrations and AI-enabled applications
• CI/CD using GitHub Actions Azure DevOps or similar
• Infrastructure as Code (Terraform ARM/Bicep or equivalent)
• Containerization and Kubernetes
• DevSecOps practices
• Secure software development lifecycle
• Enterprise automation and workflow modernization

Enterprise Experience

• Delivering complete software solutions from architecture through production deployment
• Extending enterprise platforms such as Salesforce Appian or ServiceNow
• Customer-facing engineering experience
• Working directly with operational or business teams
• Security frameworks including NIST Zero Trust and TX-RAMP
• Excellent communication and cross-functional collaboration
• Ability to evaluate when low-code solutions are-and are not-appropriate
• Strong analytical skills for identifying high-value automation opportunities

Education

• Bachelors degree in Computer Science Engineering Information Technology or a related discipline

OR

• 10 years of equivalent hands-on software engineering experience

Preferred Qualifications

Candidates with experience in the following areas will be highly preferred:

AI & Machine Learning

• AI-enabled software development
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Agentic AI workflows
• Prompt engineering and prompt management
• Human-in-the-loop AI systems
• Responsible AI governance
• AI model evaluation and selection

Architecture & Modernization

• State government or highly regulated environments
• Multi-agency integration initiatives
• Forward Deployed Engineering (FDE)
• Technical field engineering
• Enterprise modernization programs
• Shared technical services
• Developer platforms and reusable frameworks
• Design systems and engineering accelerators

AI Platform Evaluation

Experience comparing AI and LLM platforms based on:

• Security
• Data sensitivity
• Hosting models
• Performance and latency
• Accuracy
• Explainability
• Auditability
• Integration complexity
• Operational sustainability
• Total cost of ownership

Preferred Certifications

One or more of the following certifications are highly desirable:

Security

• CISSP
• CCSP
• CISM

Cloud & DevOps

• Microsoft Azure Certifications
• AWS Certifications
• Google Cloud Certifications
• Kubernetes (CKA / CKAD)
• HashiCorp Terraform Certifications

Architecture

• TOGAF

Agile

• Certified Scrum Master (CSM)
• SAFe Agile

Compliance

• TX-RAMP knowledge or auditor training
• Equivalent certifications in Cloud Architecture AI DevOps Security or Kubernetes from recognized providers will also be considered.

Ideal Candidate

The ideal consultant is an experienced full-stack engineer who combines deep software engineering expertise with cloud-native architecture AI-enabled development automation and DevSecOps. They should be comfortable engaging directly with business stakeholders rapidly delivering production-ready solutions mentoring development teams and helping government agencies adopt modern technologies responsibly while maintaining flexibility across cloud platforms and AI ecosystems.