AI enablement engineer

Dgtl Technologies; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive compensation

Professional development

Comprehensive healthcare

Team events

Job summary

Dgtl Technologies is seeking an AI Enablement Lead to partner with department heads, identify AI opportunities, and design scalable AI solutions using Claude Enterprise, Google Gemini, and MCP-based workflows. You will coach developers, build reusable AI assets, and drive adoption while ensuring governance and security alignment.

You will collaborate with business and technical teams to deliver training, workshops, and end-user guides, enabling enterprise-wide AI capability across finance,

Qualifications

• 3+ years in a technical role focused on AI/ML tooling or enterprise enablement
• Hands-on experience with Claude Enterprise and/or Anthropic API
• Knowledge of Google Gemini for Workspace and guiding end users in business tasks
• Ability to design reusable AI skills, prompts, and templates for business functions
• Experience engaging with non-technical stakeholders and translating requirements into AI solutions
• Experience guiding engineers on Claude Code and AI-assisted development tools
• Proficiency in at least one programming language (Python, Java, Go, or JavaScript)
• Familiarity with REST APIs and integrating AI into internal tooling
• Experience leading training sessions on AI tools for mixed audiences
• Strong written and verbal communication for user guides and handovers

Responsibilities

• Identify workflow pain points and design AI-enabled solutions across departments
• Build a library of reusable AI skills, prompts, and instructions
• Plan and deliver AI training sessions and onboarding materials; track adoption
• Coach developers on AI-assisted development practices and Claude Code usage
• Design and maintain AI agents and workflows integrating internal systems via APIs
• Ensure AI solutions comply with security policies and governance
• Own the AI enablement program roadmap and report adoption metrics
• Evaluate new AI capabilities and run proof-of-concept pilots

Skills

AI tooling

Claude Enterprise

Google Gemini

Anthropic API

REST APIs

MCP servers

Python/JS/Java/Go

Stakeholder facilitation

AI training delivery

Developer enablement

Tools

Claude Enterprise

Anthropic API

Google Gemini

MCP servers

Job description

Responsibilities:

AI Adoption & Stakeholder Enablement

• Partner with Department Heads and business stakeholders to identify workflow pain points, assess AI applicability, and design and deliver tailored AI solutions using Google Gemini and Claude Enterprise.
• Build and maintain a library of reusable AI skills, prompt templates, and custom instructions for common business functions across departments such as finance, compliance, operations, and customer support.
• Plan, deliver, and iterate on AI training sessions, workshops, and onboarding materials for both business and technical audiences; track adoption metrics and report progress to management.

Developer Enablement

• Embed with engineering teams to coach developers on effective AI-assisted development practices, including advanced Claude Code usage, prompt patterns, and MCP server integrations that improve engineering productivity.
• Design, build, and maintain AI agents and automated workflows that integrate enterprise AI capabilities with internal systems via REST APIs and MCP servers.

Security, Governance & Compliance

• Ensure all AI solutions and integrations are designed and deployed in alignment with BTSE’s information security policies, data handling standards, and regulatory obligations; work closely with the Information Security team to review AI use cases for data classification and acceptable use compliance.
• Maintain documentation of approved AI tools, integration patterns, and usage guidelines; contribute to AI governance artefacts such as acceptable use policies, risk assessments, and audit trail requirements.

Programme Management & Reporting

• Own the AI enablement programme roadmap: prioritise initiatives across departments, manage concurrent workstreams, communicate status to leadership, and measure outcomes against defined adoption and productivity KPIs.
• Stay current with the rapidly evolving AI tool landscape; evaluate new capabilities across our enterprise platforms, run proof-of-concept pilots, and make evidence-based recommendations on expansion or new tooling.

Requirements:

• 3+ years of experience in a technical role such as solutions engineer, developer advocate, technical consultant, or software engineer, with a strong focus on AI/ML tooling or enterprise enablement.
• Hands-on experience with Claude Enterprise (claude.ai) and/or the Anthropic API, including working with system prompts, tool use, and multi-turn conversations.
• Practical knowledge of Google Gemini for Workspace (Docs, Sheets, Gmail, Meet) and the ability to guide end users in applying it effectively to business tasks.
• Ability to design and build reusable AI skills, custom instructions, and prompt templates tailored to specific business functions (e.g. finance reporting, compliance summaries, customer support drafting).
• Demonstrated ability to engage with non-technical stakeholders, conduct workflow discovery sessions with Department Heads, and translate business requirements into AI-powered solutions.
• Ability to work alongside software engineers, providing guidance on effective use of AI-assisted development tools such as Claude Code, and recommending prompt patterns or agentic workflows that improve engineering productivity.
• Programming proficiency in at least one language (Python, Java, Go, or JavaScript) sufficient to build proof-of-concept integrations, automation scripts, and AI agent workflows.
• Familiarity with REST APIs and the ability to integrate AI capabilities into existing internal tooling or workflows via API calls.
• Experience facilitating training sessions, workshops, or knowledge-sharing sessions on AI tools and best practices for mixed-audience groups (business users and technical staff).
• Strong written and verbal communication skills; able to document AI solutions clearly for both end-user guides and technical handover.

Nice to haves:

• Familiarity with Model Context Protocol (MCP) — either consuming existing MCP servers or building custom ones to extend AI tool access to internal systems.
• Exposure to vector databases, embeddings, or RAG pipelines (e.g. pgvector, Chroma, or similar) for grounding AI outputs in company-specific knowledge.
• Knowledge of information security principles and data handling requirements in a regulated industry (fintech, crypto, or financial services); understanding of how to apply AI tools within a data governance framework.
• Background in change management or organisational adoption programmes; experience measuring and reporting on software or AI adoption KPIs.
• Familiarity with the fintech or cryptocurrency domain — understanding of common workflows across operations, compliance, customer support, and engineering teams.
• Prior experience authoring internal knowledge bases, wikis (e.g. Confluence), or developer-facing documentation for AI tools and processes.

Perks and Benefits

• Competitive total compensation package
• Various team building programs and company events
• Comprehensive healthcare schemes for employees and dependants
• And many more!