Implementation Lead
Wilmington, DE, 19801
Reference ID: 31927748
Date Posted: 03/02/2026
Implementation Lead
Location: Hybrid (3 days onsite) – Wilmington, DE OR Atlanta, GA
Salary: $135,000-150,000
Employment Type: Full-Time, Permanent
Background Check: Must be able to pass a credit check
Benefits - The position is eligible for medical, dental, vision, and 401(k).
This is a high-impact, ground-floor opportunity to define how AI is leveraged across a legacy finance organization undergoing major technology transformation.
Position Overview
Seeking an Implementation Lead to own AI initiatives end-to-end, from identifying opportunities with business stakeholders through architecture, development, and deployment within AWS.
This individual will serve as a strategic partner to the business, helping determine where AI can create measurable value while building scalable, production-ready solutions in a regulated environment.
The first 6–12 months will focus on assessing the current landscape, delivering early wins, and establishing foundational AI development and MLOps processes. Long-term, this role will expand into customer-facing AI solutions.
Why This Role Is Unique
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First dedicated AI hire within the organization
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High visibility and direct influence on AI strategy
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Opportunity to build foundational AI capabilities from the ground up
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Clear runway for growth and ownership
What You'll Do
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Own AI initiatives from concept through deployment
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Partner with business stakeholders to identify high-impact AI use cases
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Architect and deploy AI solutions within AWS
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Build and deploy solutions leveraging LLMs (currently using Claude; model-agnostic approach)
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Develop in Python using modern IDE environments
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Collaborate with technical and operational teams to implement CI/CD and MLOps best practices
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Work with third-party vendors on AI integrations and deployments
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Help establish AI governance, development processes, and best practices within a regulated financial environment
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Support broader enterprise technology transformation initiatives
What Success Looks Like
30-60-90 Days:
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Understand current technical and business landscape
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Identify early AI implementation opportunities
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Deliver initial quick-win solutions
6-9 Months:
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Establish scalable AI development and deployment processes
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Lead next major AI initiative
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Formalize MLOps and CI/CD processes where gaps exist
Required Qualifications
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5 years of professional experience
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Passion for AI development
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Experience developing and deploying solutions within AWS
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Experience deploying cloud-based solutions
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Strong Python development skills
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Experience working in regulated industries (Financial Services strongly preferred)
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Experience collaborating with third-party vendors
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Proven ability to interface with both technical and non-technical stakeholders
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Strong problem-solving mindset with curiosity and adaptability
Preferred Qualifications
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Background in Financial Services or other regulated industries
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Experience implementing MLOps frameworks
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Experience transitioning or modernizing legacy systems
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Experience in organizations undergoing digital transformation
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