AI Workflow Implementation Specialist

Gensync, LLC; Denver (CO); Hybrid; USD 61,992 - 103,320; Part time

Job summary

Gensync, LLC is hiring an AI Workflow Implementation Specialist in Denver, Colorado. The role involves supporting client engagements to map workflows and deliver AI solutions. Ideal candidates should possess a strong understanding of AI applications in business and have proficiency in low-code tools.

Responsibilities include leading client conversations, shaping workflow solutions, and implementing practical tools to enhance existing processes. Remote candidates are welcome, especially with Mountain Time overlap.

Qualifications

• Deep understanding of applied AI in business settings.
• Proficiency in building with low-code/no-code tools.
• Ability to map workflows accurately before building solutions.

Responsibilities

• Support and lead client engagement conversations.
• Shape and implement practical workflow solutions.
• Drive initial client conversations and build effective solutions.

Skills

AI application in business contexts

Low-code/no-code tool proficiency

Client communication and relationship management

Technical fluency

Tools

Zapier

Google Workspace

HubSpot

Microsoft 365

Job description

Gensync is an AI services company in Denver building practical workflow systems for clients, with a current push into accounting firms.

We\'re looking for an AI Workflow Implementation Specialist on a contract basis: someone who can understand how work actually moves inside a client\'s business, map the handoffs, identify where AI or automation can safely help, and build small working systems around the tools already in place.

Early work may involve accounting-firm workflows like client document uploads, tax checklist status, waiting-on-client-info handoffs, document classification/naming, follow-up drafts, and ready-for-prep workflow support.

This is not about building a new platform first. A lot of the value is helping firms improve the workflows they already depend on.

What this role isn\'t

• It\'s not a software engineering role. You don\'t need to be a deep developer, but you do need to be a builder. The core of this work is turning a solution into something real and working with AI tooling, so being able to actually deliver is non-negotiable.
• It\'s not an AI thought-leadership role. We\'re not engaging someone to talk about AI or run slick demos. We\'re engaging someone who applies it to real business problems and delivers.
• It\'s not a role you\'ll be hand-held through. You\'ll start with support and grow into ownership, but the maturity and drive have to be there from day one. If you need someone to show you every step, this isn\'t the fit.
• It\'s not a rip-and-replace role. We are not looking for someone who defaults to new platforms or rebuilds. Much of the work will start by improving workflows across the tools a client already uses.

What you\'ll actually do

This is the work at full stride. You won\'t be expected to do all of it solo on day one. You\'ll grow into leading client conversations and owning delivery over your first few weeks (see how it ramps below). Where it\'s headed:

• Support and eventually lead the front of an engagement. Join client conversations, help map the workflow, surface real requirements, and understand the business well enough to see where AI or automation applies and where it does not.
• Shape practical workflow solutions. Help decide the right level of implementation for the problem: process change, low-code automation, AI-supported review, tool configuration, or a small custom build.
• Build and deliver it. Implement working solutions using practical tools. That may mean low-code workflows, existing APIs, AI tooling, internal copilots, document-processing steps, or small custom pieces where needed. The goal is working client value, not a demo.
• Understand the workflow inside the organization. See how client inputs, staff follow-up, review steps, tools, and exceptions fit together before recommending a build.
• Work across existing systems. Build around the client\'s current stack where possible: Google Drive, SharePoint, HubSpot, tax software, checklists, email, Zapier, portals, or whatever system the workflow already depends on.
• Design for human review. Build workflows where AI can organize, classify, compare, summarize, or draft, but a human still reviews and approves the work.

How the engagement ramps

This ramps by design. You\'ll start working alongside the founder, who leads client conversations and co-builds solutions with you at first then hands more over as you find your footing. The goal is for you to grow into running both yourself.

• First ~30 days: Ramped on our tooling, our approach, and active engagements. You\'re in client conversations alongside the founder, who leads them at first, and building solutions in tandem with the team.
• By ~60 days: Taking a bigger hand in the build, owning meaningful pieces of the solution yourself, and starting to drive parts of client conversations as you get aligned on how we work.
• By ~90 days: Co-leading engagements: increasingly running client conversations and owning more of the delivery directly, with the founder handing over more as your judgment proves out.
• Rate: $45–$75 / hour, depending on experience and fit. Where you land in the range reflects: the depth and currency of your applied-AI experience; how independently you can operate from the start (whether you need the full ramp or can lead client conversations and own builds sooner); your track record of client-facing delivery and owning relationships; demonstrated evidence of delivering real, working solutions (not just prototypes); and familiarity with the accounting or professional-services space.
• Commitment: Determined on a per-engagement basis, typically around 10–25 hours per week depending on active client work, with the potential to increase during pilot delivery. Hours are scoped and agreed before each engagement.
• Denver preferred, local preferred, but we\'re open to remote for the right person.
• Mountain Time overlap preferred.
• We care about outcomes, delivered solutions and happy clients, over hours logged.
• Engagements are reviewed on a rolling basis.

What you need to have

• A deep, current understanding of AI, specifically how it gets applied in a business context. Not abstract familiarity.
• Daily, working fluency with modern AI tooling (Claude, Claude Code, Codex, agentic workflows). This is craft you practice, not a topic you follow.
• Comfortable building with low-code/no-code tools where they are the right fit, including tools like Zapier, Make, Retool, Airtable, HubSpot workflows, Google Workspace, Microsoft 365, or similar.
• Able to map a workflow before building: inputs, triggers, systems, owners, review steps, exceptions, and failure points.
• Strong judgment about where AI should not be used.
• Comfortable working with existing client systems instead of assuming a new platform is the answer.
• Practical judgment about where AI can help inside an organization and where process, tooling, or human review matter more. Independence and maturity: you are self-directed, take initiative, and figure things out without handholding.
• Strong client communication: you can facilitate a requirements conversation and build trust with non-technical stakeholders.
• Enough technical fluency to read technical work and implement real, working solutions.

Nice to have

• Strongly preferred: working knowledge of accounting, tax, bookkeeping, CAS, audit, or professional-services workflows. A CPA background is not required, but the person should be able to learn firm language quickly and respect the review-heavy nature of the work. Familiarity with client document workflows, checklists, portals, tax season operations, or prep/review processes.
• A developer background or hands-on engineering experience.
• Experience owning client relationships end to end.
• A track record of delivering AI-applied solutions, not just prototypes.

Work setup

If remote, you\'ll need a reliable setup and Mountain Time overlap. Confirm both in your application.

Why Gensync

• You\'ll work on practical applied AI: real client problems, real workflows, and systems that need to hold up outside a demo. Small team, high trust, real ownership. You\'ll run engagements, not tickets.
• We\'re building an AI services and platform company from a strong base. The consulting work funds an ambitious build.
• Founder-led and decisive. Good judgment gets autonomy here, fast.
• The accounting focus means clear, concrete workflow problems: client documents, missing information, checklist status, review handoffs, and human-reviewed AI support.