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Electrical Engineering Intern
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ServiceNow Developer SME
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Power Contracts, Allocations, and Compliance Intern
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…development programs and operations. Proficiency in Microsoft 365 applications, particularly Excel, is preferred, and familiarity with CRM systems or DocuSign is a…
Added 39 mins ago
Electrical Engineering Intern
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Applications will close on December 31st, 2026.
Added 39 mins ago
Civil/Structural Engineering Intern
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Applications will close on December 31st, 2026.
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Continuum Resource Network

GenAI Forward Deployed Engineer (client facing) - Financial Services

Remote, United States

$150,000 to $200,000 USD / year

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Job details

Pay: $150,000 to $200,000 USD / year
Experience: 6+ years across AI/ML, data science, or enterprise digital transformation with experience in client-facing delivery roles.
Posting language: English
Posted: Nov 7, 2026

Original job description

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.

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.

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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More about this job

Skills

ML
Fraud detection
Anti-money laundering
Customer experience
Leadership
Represent the organisation
Workflow
Communication skills

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