Total 2 job vacancies by Svm Solutions And Technologies Pte. Ltd.

Role Summary

The Head of AI Products, Services & Architecture is the single-point owner of AI strategy, architecture, andexecution across all Solverminds AI platforms.

This role is hands-on, graph-native, and product-led, combining deeptechnical leadership with strong executive communication.

Key Responsibilities

• Own end-to-end AI architecture across analytics, reasoning, agentic workflows, and Knowledge Graphs
• Define and evolve the Maritime Knowledge Graph as the foundation for all AI systems
• Lead and mentor AI Product Architects and the shared AI engineering team
• Own AI quality, correctness, safety, validation, and governance
• Drive AI services strategy
• Act as the AI spokesperson with customers, partners, regulators, and leadership
• Ensure AI initiatives align with business outcomes, not demos

Generic (Must-Have) Skills &Experience

• 12+ years in software / data / AI engineering with hands-on architecture ownership
• Deep experience with: LLMs, agent orchestration, RAG, reasoning system, Graph databases & knowledge modeling, Distributed, production-grade systems
• Strong system design thinking (trade-offs, scale, safety)
• Proven experience leading senior technical teams
• Exceptional communication, presentation, and articulation skills
• Able to explain complex AI concepts to non-technical stakeholders
• Comfortable presenting to C-suite and customers

For more details, please refer to our Linkedin post and submit your application in there https://www.linkedin.com/jobs/view/4389507932/

Role Summary The AI Product Architect to own the design and evolution of analytics-driven and decision intelligence AI systems, translating complex operational data into actionable insights.

Key Responsibilities

• Architect AI systems for analytics, forecasting, and decision support

• Design agent workflows combining structured data, models, and reasoning

• Partner closely with Product, PMs, and Customers to shape use cases

• Ensure AI outputs are measurable, explainable, and actionable

• Review and guide implementation by AI engineers

Generic (Must-Have) Skills

• 8–12 years in data, analytics, or AI systems

• Strong background in:

1. Data modeling, SQL, analytics pipelines
2. LLM-based reasoning and tool usage

• Experience designing end-to-end AI flows (not just models)

• Strong storytelling and presentation skills

1. Able to explain insights, not just generate them

Prompt Engineering & Hallucination Control

• Design and govern structured prompt architectures (identity, guardrails, tasklanes, reasoning control).

• Implement hallucination mitigation including grounding, refusal logic,confidence thresholds, and safe-fail behaviour.

• Own prompt versioning, regression testing, and controlled rollout acrossproducts.

• Ensure AI responses are explainable, traceable, and defensible

Preferred / Product-Specific Skills

• Experience with:

1. Operational analytics, KPIs, forecasting
2. Decision intelligence systems

• Familiarity with ERP / operations data is a strong plus

• Exposure to maritime, logistics, energy, or asset-heavy industries

Success Looks Like

• AI insights that drive real operational decisions

• Clear linkage between AI outputs and business value

• High trust from business users and leadership

Stakeholder Communication & Presentation Expectations

• Ability to present complex AI concepts clearly to senior leadership and customers.

• Strong written communication for governance, design, and audit artefacts.

• Comfortable acting as a subject-matter authority in external forums.