Principal Engineer

Principal Forward Deployed Engineer (FDE)

In this role you will

- Lead technical deployments and integrations of AI-native Workforce Agility products at strategic enterprise accounts, ensuring high-impact, successful outcomes.

- Act as the primary technical authority in customer engagements owning solution architecture, implementation strategy, and long-term adoption planning.

- Partner directly with customers to deeply understand their workforce challenges, then design and deliver tailored AI-driven solutions leveraging Generative AI and Agentic Frameworks.

- Translate field learnings into actionable product feedback, influencing roadmap decisions by collaborating closely with Product, Engineering, and AI teams.

- Build and maintain reference architectures, integration patterns, and deployment playbooks that scale best practices across the FDE organization.

- Mentor and technically guide junior FDEs, establishing standards for customer delivery, technical discovery, and solution design.

- Present technical vision and deployment strategies to C-suite and senior stakeholders, building confidence and driving executive alignment.

- Identify and prototype custom solutions including scripts, APIs, and AI workflow extensions that accelerate customer time-to-value.

- Stay current with enterprise integration technologies, AI advancements, and industry trends to continuously elevate customer engagements.

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You've got what it takes if you have

- Bachelors or Masters in Computer Science, Engineering, or a closely related field (or equivalent experience in senior enterprise technical roles).

- 6+ years of hands-on experience in enterprise software deployment, systems integration, or solutions engineering with strong proficiency in Python, Java, or equivalent.

- 12 years of experience deploying or integrating products built on Generative AI, LLMs, or Agentic Frameworks in production enterprise environments.

- Deep familiarity with AI/ML concepts (NLP, recommendation systems, LLMs) sufficient to architect AI-native solutions and communicate technical trade-offs to customers.

- Proven track record of owning complex, multi-stakeholder enterprise deployments from discovery through go-live and value realization.

- Experience with Agentic systems and familiarity with A2A (Agent-to-Agent) and MCP (Model Context Protocol) patterns in customer-facing contexts.

- Strong understanding of enterprise integration patterns REST APIs, event-driven architectures, SSO/identity, HRIS/HCM systems (Workday, SAP SuccessFactors, etc.).

- Exceptional communication and executive presence: equally fluent explaining architecture to engineers and articulating business value to CHROs and CTOs.

- Outstanding problem-solving instincts able to diagnose ambiguous customer environments quickly and drive toward solutions under pressure.

- Leadership qualities that inspire trust with customers and cross-functional internal teams alike.