AI Data Engineer Jobs at SentiLink with Visa Sponsorship
AI Data Engineer jobs at SentiLink sit at the intersection of machine learning infrastructure and financial data pipelines, where the company builds identity fraud and risk intelligence products. The company has a track record of sponsoring work visas across multiple categories, making it a realistic target for international candidates in the data engineering space.
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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 Data Engineer Jobs at SentiLink
Tailor your portfolio to fraud detection pipelines
SentiLink's core product is identity risk intelligence, so highlight projects involving anomaly detection, large-scale transaction data, or model monitoring infrastructure. Generic data engineering portfolios get filtered out fast at fintech companies with specialized use cases.
Confirm your visa category before applying
SentiLink sponsors EB-2, EB-3, F-1 OPT, and TN visas. If you're on OPT, confirm your STEM extension eligibility early. TN applicants in data engineering roles should be ready to show how the position satisfies a qualifying USMCA occupation category.
Surface your work authorization status upfront
Fintech hiring teams move quickly and route sponsorship-eligible candidates differently. Stating your visa type and timeline in your application materials prevents late-stage mismatches and keeps your candidacy on the right internal track from day one.
Align your resume to SentiLink's ML infrastructure stack
Job postings at SentiLink reference real-time data systems, feature engineering, and model deployment pipelines. Frame your experience around those specific functions rather than general cloud or ETL work. Recruiters at product-focused fintechs screen for stack alignment, not breadth.
Understand PERM timing if targeting EB-2 or EB-3
If your goal is permanent residence through SentiLink's EB-2 or EB-3 pathway, the PERM labor certification process with DOL typically adds 12 to 18 months before USCIS even begins adjudicating your I-140. Factor that into your planning before your first interview.
Use Migrate Mate to identify open AI Data Engineer roles
Tracking which companies are actively hiring and sponsoring in a niche like AI data engineering is time-consuming. Use Migrate Mate to filter SentiLink's open roles by visa type and see which positions are currently sponsorship-eligible without manually parsing job boards.
Frequently Asked Questions
Does SentiLink sponsor H-1B visas for AI Data Engineers?
SentiLink's documented sponsorship history covers EB-2, EB-3, F-1 OPT, and TN visas for technical roles. H-1B visa sponsorship is not explicitly listed in their confirmed categories for this function. If H-1B is your primary pathway, clarify sponsorship scope directly with the recruiter early in the process, before investing significant time in later interview rounds.
How do I apply for AI Data Engineer jobs at SentiLink?
Applications go through SentiLink's careers page. For international candidates, the strongest applications combine a resume aligned to SentiLink's fraud intelligence and ML infrastructure work with a clear statement of your work authorization status. You can also browse currently open AI Data Engineer roles at SentiLink filtered by sponsorship eligibility through Migrate Mate.
Which visa types are commonly used for AI Data Engineer roles at SentiLink?
SentiLink has sponsored F-1 OPT, TN, EB-2, and EB-3 visas for technical positions. F-1 OPT with STEM extension is common for recent graduates, giving up to three years of work authorization before employer-sponsored status is needed. TN is available to Canadian and Mexican nationals in qualifying technical occupations. EB-2 and EB-3 represent longer-term permanent residence pathways.
What qualifications does SentiLink expect for AI Data Engineer roles?
SentiLink's AI Data Engineer postings consistently emphasize experience with real-time data pipelines, feature store architecture, and ML model deployment. A background in Python, distributed systems, and financial or risk data environments is strongly preferred. Candidates who can demonstrate hands-on work with production-grade model monitoring infrastructure or fraud detection systems are prioritized over generalist data engineers.
How do I plan my timeline if I need visa sponsorship at SentiLink?
Timeline depends heavily on your current status. F-1 OPT candidates should apply with at least 90 days before OPT expiry to give employers runway for next steps. TN candidates can often start quickly since TN status is issued at the port of entry. For EB-2 or EB-3 sponsorship, expect the full PERM and I-140 process with USCIS and DOL to take well over a year from the date of hire.