AI Engineer / AI Implementation Lead jobs in United States
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Mercury® Financial · 1 week ago

AI Engineer / AI Implementation Lead

MERCURY FINANCIAL LLC is seeking a highly capable AI Engineer / AI Implementation Lead to serve as a key execution partner to the Head of AI. This role is responsible for translating AI strategy into production-ready solutions across the organization, focusing on the design, implementation, and scaling of AI systems that drive measurable business impact.

Consumer LendingCredit CardsFinancial Services
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Comp. & Benefits
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H1B Sponsor Likelynote

Responsibilities

Design, build, and deploy AI-powered systems, including LLM-based applications, ML models, and intelligent automation workflows
Lead end-to-end AI implementations from concept through production and iteration
Translate business problems into technical AI solutions with clear success metrics
Develop and optimize LLM-based solutions (e.g., RAG pipelines, agents, summarization, classification, decision support)
Implement prompt engineering, retrieval strategies, evaluation frameworks, and guardrails
Stay current on emerging AI tools, models, and architectures, and assess their applicability
Build scalable, maintainable AI systems using modern engineering best practices
Collaborate with data and platform teams on model deployment, monitoring, and lifecycle management
Ensure solutions meet performance, security, and compliance requirements
Partner with product managers, engineers, analysts, and business leaders to identify high-impact AI use cases
Communicate technical concepts clearly to non-technical stakeholders
Support change management and adoption of AI-driven workflows
Contribute to responsible AI practices, including model evaluation, bias mitigation, explainability, and auditability
Help define standards, tooling, and best practices for AI development across the organization

Qualification

AI system designLLMs experiencePython proficiencyMLOps practicesData pipeline knowledgeCloud architectureChange managementCross-functional collaborationMentoring experience

Required

5+ years of experience in software engineering, machine learning, or applied AI roles
Hands-on experience building and deploying AI or ML systems in production
Strong experience with Python and modern ML / AI libraries and frameworks
Practical experience with LLMs (e.g., OpenAI, Anthropic, open-source models), including prompt design and system integration
Solid understanding of data pipelines, APIs, and cloud-based architectures
Ability to work independently, own projects, and operate effectively in a fast-paced environment

Preferred

Experience with RAG architectures, vector databases, embeddings, and search systems
Familiarity with MLOps / LLMOps practices (monitoring, evaluation, versioning)
Experience in regulated or data-sensitive environments (e.g., financial services)
Exposure to agent-based systems or workflow orchestration
Prior experience mentoring or leading technical initiatives

Company

Mercury® Financial

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H1B Sponsorship

Mercury® Financial has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (12)
2024 (9)
2023 (6)
2022 (15)
2021 (7)

Funding

Current Stage
Late Stage
Total Funding
$339.45M
Key Investors
Neuberger BermanGreen Visor Capital
2025-09-11Acquired
2023-07-26Debt Financing· $200M
2021-03-18Private Equity· $100M

Leadership Team

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Jason Whiting
Chief Financial Officer
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Company data provided by crunchbase