Principal Forward Deployed Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Forward Deployed Engineer based in the United States. In this senior, remote engineering role, you will lead enterprise-wide technical strategy and deliver transformative AI solutions for complex client environments. You will combine hands-on software engineering with architectural leadership to modernize legacy systems, build scalable cloud-native platforms, and integrate production-ready AI capabilities.

Working directly with enterprise engineering teams and executive stakeholders, you will translate strategic objectives into practical technical roadmaps and measurable business outcomes. You will champion AI-first development practices, leveraging advanced coding assistants and agentic systems to accelerate software delivery and improve engineering productivity. Through technical mentorship, architectural guidance, and collaborative problem-solving, you will help client organizations adopt sustainable, secure, and scalable engineering practices.

This opportunity is ideal for an experienced technical leader who thrives on solving complex systems challenges, influencing executive decisions, and delivering meaningful transformation in enterprise environments.

Accountabilities

Lead enterprise architecture and technical strategy: Define and drive architectural direction across complex client engagements, aligning technology decisions with business objectives, long-term scalability, resilience, and operational requirements.

Develop production-grade software

Write, review, and improve production code across critical systems while establishing high standards for architecture, security, reliability, maintainability, and performance.

Architect enterprise AI solutions

Design and implement scalable AI capabilities, including large language model (LLM) integrations, retrieval-augmented generation (RAG) platforms, agentic systems, AI governance frameworks, and developer productivity solutions.

Champion AI-assisted engineering

Apply advanced AI coding environments, developer assistants, and agentic tools to accelerate code generation, legacy refactoring, automated testing, and software delivery within real-world client codebases.

Modernize legacy applications

Lead incremental modernization initiatives, decomposing monolithic systems into cloud-native microservices and event-driven architectures while managing technical risk and business continuity.

Establish secure and reliable AI systems

Evaluate and implement AI safety measures, observability capabilities, evaluation frameworks, and security controls to ensure AI solutions are dependable and production-ready.

Drive engineering enablement

Work directly with client developers through hands-on coaching, pairing, and practical demonstrations to integrate AI-first practices into everyday engineering workflows and organizational culture.

Advise executive stakeholders

Serve as a senior technical partner to engineering leaders and executives, providing guidance on architectural trade-offs, risk mitigation, platform evolution, transformation priorities, and technical roadmaps.

Strengthen delivery governance

Establish engineering standards, automated testing practices, security guardrails, CI/CD pipelines, and delivery processes that promote consistency and quality across multiple teams.

Mentor engineering talent

Develop staff and lead engineers through architecture reviews, code reviews, strategic pairing, and hands-on technical guidance, strengthening engineering capabilities across client and internal teams.

Support strategic business development

Collaborate with executive account leaders on technical proposals, statements of work (SOWs), client presentations, and strategic account growth opportunities.

Deliver measurable transformation outcomes

Identify opportunities to improve developer productivity, accelerate modernization, reduce operational risk, and demonstrate the business value of AI-enabled engineering practices.

Requirements

Extensive software engineering experience: At least 10 years of hands-on software engineering experience, including significant responsibility for enterprise architecture, technical strategy, or principal-level engineering initiatives.

Enterprise architecture leadership

Proven experience owning architectural direction for complex engineering workstreams, making high-impact technical decisions, and remaining accountable for delivery outcomes.

Legacy modernization expertise

Practical experience modernizing large enterprise applications using incremental refactoring, the strangler fig pattern, event-driven decomposition, or similar approaches.

Full-stack technical fluency

Strong understanding of frontend and backend development, APIs, data systems, cloud infrastructure, and the software delivery lifecycle, with substantial technical depth in multiple areas.

Distributed systems expertise

Experience designing and delivering enterprise-scale cloud-native architectures, including microservices, API gateways, asynchronous messaging, event-driven systems, and distributed applications.

Cloud and platform engineering knowledge

Familiarity with multi-cloud environments, infrastructure as code, Kubernetes or managed container platforms, cloud-native infrastructure, and DevOps practices.

Enterprise AI implementation

Hands-on experience designing and deploying AI solutions, including LLM integrations, RAG pipelines, security controls, observability, and evaluation frameworks.

AI-enabled development practices

Experience using modern AI coding tools, developer assistants, or agentic workflows to improve engineering productivity, accelerate refactoring, generate code, and support automated testing.

Security and operational excellence

Ability to make informed architectural decisions that address reliability, security, scalability, maintainability, and the operational complexity of enterprise systems.

Technical quality and mentorship

Demonstrated ability to establish engineering standards, review architecture and code, identify risks early, and develop the capabilities of other engineers.

Executive communication

Strong communication and stakeholder management skills, with the ability to explain complex technical concepts, transformation strategies, and expected business outcomes to VP-level and C-level leaders.

Strategic and business-oriented thinking

Ability to connect technical investments with business priorities, transformation metrics, delivery performance, and measurable value.

Problem-solving and adaptability

Sound technical judgment, practical decision-making, and the ability to deliver results within complex enterprise environments involving legacy constraints and organizational dependencies.

Work authorization

Must be authorized to work in the United States or Canada without employer sponsorship.

Travel availability

Willingness to travel up to approximately 25%, depending on client needs.

Collaborative mindset

Ability to work effectively with client teams, internal engineering colleagues, and executive stakeholders while promoting inclusive, respectful, and collaborative working relationships.

Benefits

Remote work arrangement: Work remotely while collaborating with enterprise clients and distributed engineering teams.

Senior-level technical leadership

Take ownership of high-impact architectural decisions and lead complex enterprise transformation initiatives.

Cutting-edge AI exposure

Work hands-on with advanced AI systems, LLMs, agentic architectures, and AI-assisted software development practices.

Meaningful client impact

Help established organizations modernize critical systems, improve developer productivity, and accelerate their adoption of AI.

Technical autonomy

Influence architecture, engineering standards, modernization strategies, and the implementation of production-grade solutions.

Professional growth

Expand your expertise in enterprise architecture, cloud-native engineering, AI integration, and large-scale digital transformation.

Leadership opportunities

Mentor experienced engineers, strengthen client engineering teams, and shape modern software delivery practices.

Strategic business exposure

Collaborate with senior client executives and contribute to technical roadmaps, transformation planning, and strategic account initiatives.

Inclusive workplace

Join an organization committed to equal opportunity, diversity, and an inclusive professional environment.

Accessibility and accommodations

Reasonable accommodations are available during the application process for eligible candidates who require them.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?

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