About the role
Responsibilities:
- 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 organisation.
- 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.
Requirements:
- Bachelor's or Master's 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.
- 1-2 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 realisation.
- 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, and HRIS/HCM systems (Workday, SAP SuccessFactors, etc. ).
- Exceptional communication and executive presence: equally fluent in 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.