AI Enablement Engineer
Posted 1 Oct 2026
Advertised as “Senior AI Enablement Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- Hybrid
- Contract
- Full-time
No salary listed for this role.
About the Role
Taktile empowers financial institutions to transform into truly AI-native organizations. We’re growing rapidly with enterprise customers across banks and insurance companies, and we’re looking for a Data Engineer (AI Enablement) to join our team.
As our first dedicated Data Engineer to AI Enablement, you will build the internal tools, agents, and integrations that help every team work faster and better. You will own these projects end-to-end—partnering directly with leads across Engineering, GTM, and Ops to identify high-leverage workflows and scale their impact.
What You’ll Do
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Embed across Engineering, GTM, Customer Success, Finance, and Ops to identify where AI can remove the most operational friction.
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Build internal tools and agents end-to-end, connecting Taktile’s SaaS stack to daily employee workflows.
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Drive real adoption through workshops, pairing, and office hours—measuring success by active usage and time saved rather than features shipped.
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Partner with Security and IT to establish guardrails, access scoping, and audit trails that protect customer data.
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Track the evolving AI landscape, bringing high-value models and tools back into the business.
Requirements
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5+ years of software engineering experience shipping production Python in cloud-native environments.
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Practical experience building with modern LLM tooling (agents, tool use, prompt engineering, MCP, and evals) beyond notebook experiments.
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Hands-on experience integrating SaaS APIs (REST, webhooks, OAuth) and handling complex integrations.
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Pragmatic mindset prioritizing tangible user adoption over complex architecture.
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Excellent written and spoken English skills.
Nice to Have
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Background in internal tools, Developer Experience (DX), platform engineering, or technical enablement.
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Experience handling unstructured data or AI governance in regulated industries.
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Comfort hosting internal workshops or pair-programming sessions.
Our Stack
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AI & Language: Claude, Python
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Data & Infra: AWS, Snowflake, dbt, Terraform