About kAIgentic
Most enterprises struggle to keep pace with rapid tech change due to legacy systems, fragile knowledge, and risk. kAIgentic captures work knowledge, turns it into reliable AI agents, and deploys them with governance and trust, enabling companies to evolve as fast as technology. Built with Sumitomo Mitsui Banking Corporation (SMBC)as our founding partner, we are proven in one of the world's most complex and regulated environments.
This partnership gives us deep domain expertise, live telemetry, and the experience to deliver safe and reliable AI operations to other enterprises. Our leadership team brings decades of experience creating and scaling technology businesses from inside large enterprises, with global coverage across Asia, Europe, and North America. With senior sponsorship in Japan, Singapore headquarters, we pair innovation velocity with enterprise-grade reliability. Learn more at www.kaigentic.com
The Role
As a leader of Forward Deployed Engineering team in Japan, you are the trusted client partner who turns ambiguity into outcomes. FDE team works closely with clients to ensure the successful deployment, customization, and adoption of kAIgentic products. This is a high-impact, client-facing role combining high tech leadership, delivery ownership, and relationship management.
What Success Looks Like (6–12 Months)
- Customers see kAIgentic as a strategic partner with strong sponsorship and repeat engagements
- Multiple use cases move from idea to pilot and to production with clear metrics
- Strong user adoption with embedded routines, operating model, and measurable retention
- A repeatable playbook for discovery, deployment, governance, and change management
Core Responsibilities
Own Client Outcomes End-to-End
- Lead discovery to identify highest-value scenarios, success criteria, and constraints
- Co-create phased roadmaps from lighthouse use cases through scaled rollout
- Run steering cadences with senior stakeholders; manage scope, risks, and escalations
- Review deliveries from FDEs to ensure solutions are secure, scalable, and production-ready.
Bridging Field Insights to Product: Act as the critical feedback loop between the client’s real-world environment and internal product/engineering teams. Translate recurring customer needs into actionable product improvements.
Operational Scaling: Create, maintain, and refine playbooks, starter repositories, and integration templates that allow the team to scale and accelerate future engagements.
Drive Change Management and Adoption
- Build alignment across Ops, Compliance/Risk, IT, and Transformation teams
- Design adoption plans: training, enablement materials, champions network, and measurement
- Establish governance: human-in-the-loop checkpoints, audit trails, and controls
Build Long-Term Customer Relationships
- Become the trusted advisor for customer leadership—credible, responsive, outcomes-driven
- Identify expansion opportunities and shape executive narratives
- Represent the voice of the customer internally to influence product priorities
Skills & Capabilities
- Solution orientation: Structure ambiguous problems into clear plans and decisions
- Change leadership: Drive adoption in complex enterprises through training and governance
- Client management: Build trust quickly, navigate stakeholders, handle difficult conversations
- Delivery ownership: Strong program execution with measurable outcomes
- Technical fluency: Comfortable with IT/architecture, integrations, and security (deep engineering not required).
- AI/LLM Proficiency: Familiarity with Generative AI applications, RAG (Retrieval-Augmented Generation), agent workflows, and LLM orchestration (e.g., LangChain, OpenAI API).
Qualifications
- 10+ years in software engineering, solutions architecture, or technical customer-facing roles, like Solutions Lead, Engagement Manager, Customer Success Lead, or Tech Consulting
- Business-level Japanese and English (verbal and written)
- Background in regulated industries (financial services a plus)
- Willingness to travel to customer sites
Nice to Have
- Experience deploying workflow automation, case management, or AI-enabled operations
- Familiarity with Financial Services domains