Forward Deployment Engineer
$120,000–$140,000 year
RemoteUnited States
Job Summary
Design, develop, test, and deploy AI-enabled software solutions that improve business workflows and operational efficiency. Rapidly prototype and iterate on AI-based solutions using enterprise-approved tools, no-code/low-code platforms, and advanced development platforms. Partner with business stakeholders to translate problems into scalable technical solutions and build applications, APIs, and automation workflows. Provide technical leadership to a team of six software engineers through design reviews, mentoring, and delivery support. Evaluate emerging AI capabilities for practical use cases and ensure solutions meet enterprise security and production readiness standards. Troubleshoot issues and improve existing applications as needs evolve. Collaborate cross-functionally with product, operations, data, and security teams to ensure successful delivery. Maintain comprehensive documentation for design decisions and operational handoffs.
Required Qualifications
- 7+ years of software engineering experience designing, developing, testing, and deploying scalable enterprise applications
- 3+ years of experience leading technical design, solution architecture, or senior-level engineering delivery
- 2+ years of experience designing or delivering AI-enabled, automation-based, or workflow improvement solutions
- Experience with modern application development, API integration, secure coding practices, and production support
- Experience using enterprise-approved AI or developer productivity tools, such as GitHub Copilot, Microsoft 365 Copilot, or similar GenAI platforms
- Strong ability to translate ambiguous business needs into clear technical requirements and working solutions
- Strong communication, stakeholder partnership, problem-solving, and cross-functional collaboration skills
- Ability to deliver in a fast-paced environment while balancing speed, quality, risk, security, and maintainability
- Senior-level software engineering experience in a large enterprise environment
- Experience delivering production-ready applications
- Experience leading technical design
- Experience partnering directly with business stakeholders
- Experience applying AI or automation to solve practical business problems
- Comfortable working independently
- Comfortable mentoring other engineers
- Comfortable moving quickly from business problem definition to prototype and production delivery
- Manage and provide technical leadership for two scrum teams, each with 3 software engineers, for a total of 6 software engineers
- Work closely with these engineers and partner cross-functionally with product owners, scrum masters/project managers, business stakeholders, architecture, security, data, and operations partners as needed
- Guide solution design
- Mentor engineers
- Support delivery execution
- Help the teams rapidly design, develop, and deliver AI-enabled solutions aligned to business priorities
- Design, develop, test, and deploy AI-enabled software solutions that improve business workflows and operational efficiency
- Rapidly prototype and iterate on AI-based solutions using enterprise-approved AI tools, no-code/low-code platforms, and advanced development platforms
- Partner with business stakeholders to understand needs, identify AI integration opportunities, and translate business problems into scalable technical solutions
- Build and integrate applications, APIs, automation workflows, and reusable components that support enterprise technology standards
- Provide technical leadership and guidance to other software engineers through design reviews, code reviews, mentoring, and delivery support
- Evaluate emerging AI capabilities and determine practical use cases that improve productivity, quality, customer service, revenue enablement, or IOI
- Ensure solutions meet enterprise requirements for security, reliability, maintainability, quality, and production readiness
- Troubleshoot issues, support deployments, and improve existing applications or workflows as business needs evolve
- Collaborate with product, operations, data, security, architecture, and engineering teams to ensure successful delivery and adoption
- Maintain strong documentation for solution design, implementation decisions, support processes, and operational handoff
- Remote
- This Position Is Not Eligible for Immigration Sponsorship at This Time
Desired Qualifications
- Healthcare, payer, provider, insurance, customer service, claims, clinical, pharmacy, or regulated industry experience
- Hands-on experience with GenAI, intelligent automation, no-code/low-code platforms, or advanced AI development platforms
- Experience rapidly prototyping AI-based solutions and converting prototypes into scalable production applications
- Experience mentoring or managing software engineers
- Experience with cloud platforms, DevOps practices, CI/CD, automated testing, observability, and enterprise security standards
- Ability to identify high-value business use cases and quantify impact through productivity, quality, customer service, revenue, or IOI improvements
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