AI Engineer Jobs at SentiLink with Visa Sponsorship
AI Engineer jobs at SentiLink sit at the intersection of machine learning infrastructure and financial fraud detection, as the company builds AI-driven identity verification technology. The company has a track record of supporting international talent through employer-sponsored visa pathways, making it a realistic target for skilled engineers who need work authorization.
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INTRODUCTION
SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. We’re building the future of identity verification in the United States, replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate. We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin. We’ve earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the Forbes Fintech 50 list every year since 2023. Last but not least, we’ve even made history - we were the first company to go live with the eCBSV and testified before the United States House of Representatives on the future of identity. SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office.
ROLE
We are seeking an AI Strategy and Process Lead to institutionalize the use of AI across core business processes. The mission of this role is to create increasing scale on costs by systematically identifying, implementing, and measuring AI-enabled improvements that drive meaningful productivity gains. Starting with two pilot functions, this leader will design a repeatable framework for AI opportunity identification, deployment, governance, and performance measurement. Success in this role will be defined by sustained, measurable improvements in cost efficiency, cycle time, and quality — and by building an internal capability that enables responsible, scalable AI adoption across the organization.
Responsibilities
AI Opportunity Identification and Prioritization:
- Partner with functional leaders to identify high-leverage processes suitable for AI enablement.
- Map workflows, quantify baseline performance (cost, time, quality), and prioritize opportunities based on ROI and feasibility.
- Develop clear business cases for AI investments, including expected impact and risks.
Implementation and Execution:
- Lead end-to-end deployment of AI tools and workflow redesign across pilot functions.
- Redesign processes to embed AI natively rather than layering tools onto existing inefficiencies.
- Coordinate cross-functionally to ensure adoption, training, and operational continuity.
- Ensure compliance with data security, privacy, and risk standards.
Measurement and Performance Management:
- Define standardized metrics to assess AI impact (e.g., cost per unit, throughput, error rates, headcount leverage).
- Establish dashboards and reporting cadences to track performance.
- Deliver sustained productivity improvements in pilot processes, with documented performance over at least six months.
- Present regular updates to executive leadership on outcomes, risks, and expansion opportunities.
Framework and Capability Building:
- Develop and document a repeatable AI evaluation and implementation framework.
- Create internal playbooks, governance guidelines, and training materials for responsible AI usage.
- Establish an intake process for AI ideas across the company.
- Expand the program beyond initial pilots as results are validated.
BASIC QUALIFICATIONS
- 5+ years of experience in process transformation, operations, automation, or strategic initiatives in a high-growth environment.
- Demonstrated success delivering measurable productivity, cost, or quality improvements.
- Strong analytical capability with comfort defining metrics and evaluating ROI.
- Practical familiarity with AI tools, workflow automation platforms, and modern productivity systems.
- Experience operating in regulated or data-sensitive environments is preferred.
- Proven ability to influence cross-functional stakeholders and drive adoption without direct authority.
- Excellent written and verbal communication skills, particularly with executive audiences.
This role is suited for a builder who combines operational rigor with pragmatic technical fluency. The focus is not experimentation for its own sake, but durable productivity gains and scalable institutional capability.
COMPENSATION
$140,000 - $220,000/year + equity + benefits
Note: This salary range is inclusive of multiple career levels, and the actual base salary within that range will be determined by several components including but not limited to the individual's education, experience, skills, and qualifications.
PERKS
- Employer paid group health insurance for you and your dependents
- 401(k) plan with employer match (or equivalent for non US-based roles)
- Flexible paid time off
- Regular company-wide in-person events
- Home office stipend, and more!
CORPORATE VALUES
- Follow Through
- Deep Understanding
- Whatever It Takes
- Do Something Smart
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Get Access To All JobsTips for Finding AI Engineer Jobs at SentiLink
Tailor your portfolio to fraud detection
SentiLink's AI work centers on synthetic identity and credit risk modeling. Before applying, make sure your portfolio explicitly highlights anomaly detection, classification models, or NLP applied to structured financial or identity data, not just general ML projects.
Confirm your visa category early
SentiLink sponsors EB-2, EB-3, F-1 OPT, and TN visas. If you're on OPT, verify your STEM extension eligibility before your first interview so you can clearly tell the hiring team your authorization runway without prompting them to ask.
Address specialty occupation fit in your resume
For H-1B eligibility, USCIS requires the role to qualify as a specialty occupation. Frame your resume around the specific technical degree requirements for AI engineering work, not broad software competency, to support the employer's eventual LCA filing with DOL.
Target SentiLink's fintech-specific engineering teams
SentiLink organizes AI work around identity risk products, not generalist AI research. When reaching out to recruiters or applying, signal familiarity with fraud detection pipelines and real-time inference systems to align with the teams most likely to have active headcount.
Use Migrate Mate to surface open AI Engineer roles
SentiLink's sponsorship-eligible AI Engineer openings are not always easy to track across job boards. Use Migrate Mate to filter specifically for SentiLink roles that have active visa sponsorship, so you're only spending time on positions that match your authorization needs.
Clarify sponsorship timing before the offer stage
If you need PERM-based sponsorship for a Green Card, raise it after you receive an offer, not during screening. Employers in early-stage fintech often budget sponsorship case by case, and the conversation lands better once they've committed to you.
Frequently Asked Questions
Does SentiLink sponsor H-1B visas for AI Engineers?
SentiLink's documented sponsorship activity covers EB-2, EB-3, F-1 OPT, and TN visas for technical roles. H-1B visa sponsorship is not explicitly listed among their recent filings for AI Engineer positions. If an H-1B is your primary pathway, confirm sponsorship scope directly with the recruiter before advancing through the interview process, since employer willingness can vary by role and hiring cycle.
How do I apply for AI Engineer jobs at SentiLink?
Applications go through SentiLink's careers page, where AI Engineer roles are posted under their engineering or machine learning teams. You can also use Migrate Mate to browse SentiLink's sponsorship-eligible AI Engineer openings in one place, filtered by visa type. Tailor your application to highlight experience with identity verification, fraud modeling, or real-time ML systems, since those map directly to SentiLink's core product areas.
Which visa types are most commonly used for AI Engineer roles at SentiLink?
SentiLink has sponsored EB-2 and EB-3 immigrant visas as well as F-1 OPT for AI Engineer roles. TN status is also supported, which is relevant for Canadian and Mexican nationals in qualifying STEM occupations. Each pathway has different timelines: OPT authorization can begin immediately, while EB-2 and EB-3 PERM-based sponsorship typically takes one to several years depending on your country of birth and priority date.
What qualifications does SentiLink expect for AI Engineer roles?
SentiLink AI Engineer roles generally require a bachelor's or master's degree in computer science, statistics, or a closely related field, along with hands-on experience building and deploying machine learning models in production. Familiarity with fraud detection, identity risk scoring, or financial data pipelines is a strong differentiator. USCIS also requires that the role meet specialty occupation standards, so a directly relevant technical degree is essential for visa sponsorship eligibility.
How do I plan my timeline if I need sponsorship to work at SentiLink?
If you're on F-1 OPT, you have up to 12 months of work authorization after graduation, extendable to 36 months with STEM OPT approval from your DSO. For TN status, your employer can initiate the process relatively quickly since there is no lottery or annual cap. EB-2 and EB-3 green card sponsorship involves a PERM labor certification with DOL, followed by an I-140 petition with USCIS, so factor in a multi-year timeline for those pathways.