Enterprise Architect, Applied AI

MOSAIC SG CONSULTING GROUP PTE. LTD.; Região Norte; Presencial; BRL 716 000 - 955 000; Tempo integral

Resumo da oferta

Mosaic SG Consulting Group Pte. Ltd. is seeking an Enterprise AI Architect to set technical foundations for AI delivery, including reference architectures, ERP-to-AI integration, and governance standards.

You will advise clients, shape AI roadmaps, and lead multidisciplinary teams across engagements. The role requires senior-level experience in GenAI and enterprise AI, with hands-on experience in RAG, model APIs, and cloud platforms.

Qualificações

• Requires 8+ years in technology delivery or architecture on large client programmes.
• Proven leadership in GenAI adoption, RAG, multi-agent orchestration and guardrails.
• Strong ML/data engineering foundation.
• Experience with enterprise ecosystems (SAP, Salesforce, UKG, Workday, ServiceNow).
• Direct exposure to frontier model APIs and cloud AI platforms.
• Ability to advise senior stakeholders and shape AI strategy at scale.
• Degree in technical/quantitative field or equivalent.

Responsabilidades

• Define reference architectures and delivery patterns for enterprise AI deployments.
• Evaluate build-versus-buy options and hosted vs self-hosted models.
• Advise clients on AI strategy, priorities, and roadmaps with measurable business impact.
• Lead multidisciplinary delivery teams, set standards, and mentor consultants.
• Scope, estimate, and present engagements to win new business.
• Ensure governance: data residency, risk, security, and compliance.

Conhecimentos

Enterprise architecture

GenAI / LLMOps

Solution delivery leadership

Stakeholder advisory

Project governance

RAG pipelines

Cloud AI platforms

Vendor ecosystems (SAP, Salesforce, UK

Formação académica

Technical degree or equivalent

Ferramentas

Azure OpenAI

AWS Bedrock

Google Vertex AI

Anthropic Claude / OpenAI GPT

SAP

Salesforce

ServiceNow

Descrição da oferta de emprego

The Opportunity

Mosaic is building deep global AI delivery capability and needs architectural expertise. As our Enterprise AI Architect, you will set the technical foundations that the practice builds on: reference architectures, ERP-to-AI integration patterns, build-versus-buy frameworks, and governance standards. You will advise clients, shape AI strategy roadmaps, lead multidisciplinary delivery teams, and help Mosaic win and shape new engagements. This role demands genuine enterprise seniority and a real, demonstrated pivot into GenAI - not one or the other.

What You Will Do

• Set reference architectures and delivery patterns for agentic AI, RAG pipelines, multi-agent orchestration, and enterprise AI integration
• Make build-versus-buy and hosted-versus-self-hosted calls - including open-weight models for regulated or data-sensitive environments
• Advise senior client stakeholders on AI strategy, priorities and roadmaps - tying every recommendation to a measurable business outcome
• Lead multidisciplinary delivery teams; set technical standards, mentor consultants and developers, and build reusable practice IP
• Shape and win new engagements: scope, estimate, write, and present in ways that bring clients to the table
• Govern AI responsibly: data residency, hallucination risk, security, and regulatory compliance in enterprise settings
• Stay ahead of a fast-moving field - evaluate new tooling and model capabilities and make durable decisions as the landscape shifts

What We Are Looking For

• 8+ years in technology delivery - solution architecture, data and analytics leadership, or software architecture on large client programmes
• Clear evidence of leading the move into GenAI and agentic architectures over the last 1-2 years: RAG, multi-agent orchestration, evals, and guardrails
• Substantial ML, data science, or data engineering foundations - this depth pays off most in architecture and LLMOps work
• Hands-on experience in one or more enterprise ecosystems: SAP, Salesforce, UKG, Workday, or ServiceNow
• Direct experience with frontier model APIs (Anthropic Claude, OpenAI GPT) and cloud AI platforms (Azure OpenAI, AWS Bedrock, Google Vertex AI)
• Proven ability to advise senior client stakeholders and shape AI strategy at an organisational level
• Degree in a technical or quantitative field, or equivalent demonstrated experience
• Must be authorised to work in Singapore - sponsorship is not available for this role

Nice to Have

• Working knowledge of vendor AI offerings (SAP Joule, Salesforce Agentforce, Microsoft Copilot, ServiceNow AI) - enough to judge quickly where each fits and where custom agents on frontier models serve the client better
• Consulting or professional services background - client delivery, not just internal technology
• Domain exposure in Finance, Asset Management, Sales, Workforce Management