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Continuum Resource Network

Forward Deployed Engineer/Transformation Manager - Financial Services

  • Seen live on Continuum Resource Network's site yesterday
  • Senior
Pay
Not stated
Location
Atlanta, Georgia, United States
Open for
6 days
First seen
Oct 29, 2026
Apply on Continuum Resource Network's site (opens in a new tab)

Posting record

No flags

Open 6 days

The posting's record, oldest first
  1. Continuum Resource Network's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age.

Last checked Nov 3, 2026.

How well do you match?

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What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

THE ROLE

We are looking for a driven AI practitioner and client delivery professional ready to step into a management-level engagement role. As AI Transformation Manager, you will lead workstreams within larger AI transformation programs, work directly with client stakeholders, and contribute to solution design across GenAI, Agentic AI, and ML use cases in Financial Services including fraud detection, AML, credit risk, payments intelligence, and customer experience. You will be comfortable translating business requirements into AI solution frameworks and driving day-to-day delivery with cross-functional teams.

WHAT YOU WILL DO

AI Transformation Delivery

  • Manage end-to-end workstreams within AI transformation programs, from opportunity framing through deployment and value realization.
  • Support executive-level AI strategy conversations and facilitate discovery sprints and AI readiness workshops under senior leadership.
  • Develop business cases connecting AI capabilities to measurable financial and operational outcomes.
  • Track program milestones, risks, and dependencies; maintain clear reporting to client stakeholders and internal leadership.

Solution Architecture and Delivery

  • Contribute to AI solution designs spanning GenAI applications, Agentic pipelines, RAG systems, and production ML, ensuring fit with Financial Services regulatory and risk requirements.
  • Coordinate with Solution Leads and cross-functional teams including AI engineers, data scientists, and ML platform engineers to drive scalable, compliant AI deployments.
  • Document solution architectures, technical requirements, and integration patterns for client environments.

Growth and Team

  • Identify account expansion opportunities and support technical scoping and ROI modelling for new engagements.
  • Contribute to thought leadership content and represent the company at Financial Services AI events.
  • Mentor junior team members and contribute to delivery playbooks and reusable IP accelerators.

Requirements

WHAT YOU BRING

Required

  • 6+ years across AI/ML, data science, or enterprise digital transformation with experience in client-facing delivery roles.
  • Solid working knowledge of Generative AI (LLMs, RAG, fine-tuning) and Agentic AI (multi-agent orchestration, workflow automation).
  • Track record managing complex AI delivery workstreams at large enterprises from strategy through production.
  • Ability to engage credibly with both business stakeholders and engineering teams.
  • Strong communication skills and ability to make complex AI concepts accessible to diverse audiences.

Strongly Preferred

FS domain expertise in banking, payments, capital markets, or fintech with hands-on AI application to AML, fraud, credit risk, or payments.

Familiarity with Financial Services regulatory landscape including Risk and Regulatory frameworks and Explainability requirements.

Background at an AI-native company, enterprise AI lab, or as an AI or engineering practitioner within a Financial Services firm.

Strong technical foundation in AI/ML demonstrated through hands-on work, published projects, or equivalent practical expertise.

Benefits

  • Variable incentive compensation (20%)
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Training & Development

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