Forward Deployment Engineer

Fractal Analytics•New York, NY

2d•$120,000 - $140,000•Remote

About The Position

This candidate will support initiatives focused on designing, developing, and delivering AI-enabled solutions that help business partners solve operational problems faster, improve workflows, reduce manual effort, and accelerate decision-making. The role will support AI solution prototyping, workflow automation, application modernization, internal productivity improvements, and scalable technology solutions aligned to business priorities. This role will manage and provide technical leadership for two scrum teams, each with 3 software engineers, for a total of 6 software engineers. The candidate will 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. The role is expected to guide solution design, mentor engineers, support delivery execution, and help the teams rapidly design, develop, and deliver AI-enabled solutions aligned to business priorities.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.