AI Jobs in USA with Visa Sponsorship
Artificial intelligence is one of the most aggressively recruited fields in the US, with leading AI labs, tech giants, and research institutions all vying for top global talent. The combination of a PhD-level research background and practical AI expertise can open doors not only to H-1B sponsorship but also to the O-1 extraordinary ability visa, which has no annual cap. Whether you focus on foundational models, computer vision, NLP, or reinforcement learning, US employers are investing heavily in AI and are prepared to sponsor the best minds from anywhere in the world.
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INTRODUCTION
We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 16,400+, and has 60 offices in 20 countries within key global markets.
OUR CHALLENGE
We are seeking an Agentic AI Engineer candidate who will be responsible to design, build, and operate LLM-powered agents that interpret inbound servicing requests (e.g., email / case intake), retrieve grounded knowledge, and execute approved workflows through secure tool/API integrations - with enterprise-grade controls, observability, and human-in-the-loop patterns.
ADDITIONAL INFORMATION
The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Charlotte, NC is $90k - $95k/year & benefits (see below).
THE ROLE
Responsibilities:
Agentic AI Solution Development
- Build and enhance LLM/agent orchestration (Planner/supervisor patterns, tool-using agents, routing, guardrails).
- Implement intent classification information extraction validation and decision logic for servicing workflows.
- Develop tool calling integrations to downstream systems (CRM, workflow engine, core banking services, case management).
- Implement human-in-the-loop workflows (review, approval, escalation, override) based on confidence/risk thresholds.
Knowledge and grounding (RAG)
- Design and implement retrieval-augmented generation (RAG) for policy procedure grounding and resolution guidance.
- Build knowledge ingestion pipelines with refresh/versioning.
- Improve answer quality via chunking strategies, embeddings re-ranking and context management.
Quality, Safety and Evaluation
- Define and run evaluation frameworks: golden datasets, scenario tests, regression tests, and automated scoring.
- Reduce hallucinations and risk by implementing prompt policies, constraints, structured outputs, and verification steps.
- Partner with risk and compliance to ensure traceability, audit logs, explainability requirements are met.
Production Readiness and Operations
- Implement observability for agents (latency, cost, tool failures, drift, quality signals, escalation rates).
- Support CI/CD for agent prompts and configurations (versioning, approvals, rollback).
- Collaborate with platform and security teams on secrets management, access controls, PII protections, and safe deployments.
REQUIREMENTS
- 4+ years of software engineering experience or equivalent with strong CS fundamentals.
- Hands-on experience building with LLMs and modern AI app stack (agents, RAG, tool/function calling).
- Strong proficiency in Python and building back-end services/APIs.
- Experience with at least one: LangChain/ LangGraph, Llamalndex, Semantic Kernel or equivalent frameworks.
- Experience with vector databases and search (e.g., Pinecone, Weaviate, Milvus, OpenSearch/Elastic).
- Experience deploying services in cloud environments (AWS/Azure/GCP) with basic DevOps practices.
- Strong understanding of security and privacy principles (PII handling, least privilege, audit logging).
PREFERRED, BUT NOT REQUIRED
- Experience in financial services or other regulated domains (risk controls, compliance audit readiness).
- Experience integrating with enterprise workflows (e.g., ServiceNow, Custom workflow engines, BPM/RPA).
- Familiarity with model evaluation approaches (LLM-as-judge, rubric scoring, retrieval evals, offline/online testing).
- Experience with messaging/eventing (Kafka/SQS), email ingestion pipelines, and document processing.
- Exposure to MRM concerns and governance (model cards, risk assessments, validation processes).
WE OFFER
- A highly competitive compensation and benefits package.
- A multinational organization with 60 offices in 20 countries and the possibility to work abroad.
- 10 days of paid annual leave (plus sick leave and national holidays).
- Maternity & paternity leave plans.
- A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
- Retirement savings plans.
- A higher education certification policy.
- Commuter benefits (varies by region).
- Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
- On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
- Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
- Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.
- A flat and approachable organization.
- A truly diverse, fun-loving, and global work culture.
SYNECHRON’S DIVERSITY & INCLUSION STATEMENT
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
Candidate Application Notice

How to Get Visa Sponsorship in AI
Build an O-1 case through publications and patents
AI researchers with papers at NeurIPS, ICML, ICLR, or CVPR can build a strong O-1 extraordinary ability petition. Combine publications with peer review service, citation counts, and media coverage of your work for a compelling case.
Explore EB-2 NIW for nationally important AI research
If you hold a PhD and work on AI safety, healthcare AI, or national security applications, you may qualify for an EB-2 National Interest Waiver. This green card path doesn't require employer sponsorship - you petition on your own behalf.
Target the labs driving the AI boom
OpenAI, Anthropic, Google DeepMind, Meta FAIR, and Microsoft Research are hiring aggressively and have well-established visa sponsorship processes. Competition is intense, but these organizations expect to sponsor international talent.
Use cap-exempt university AI labs as a launchpad
Stanford HAI, MIT CSAIL, CMU, and Berkeley BAIR hire researchers on cap-exempt H-1B visas - no lottery required. A few years in an academic lab builds your publication record and keeps your visa options open.
Specialize in high-demand AI subfields
AI safety, LLM training, multimodal AI, and reinforcement learning from human feedback are areas where demand far outstrips supply. Deep specialization gives you leverage in both hiring and sponsorship conversations.
Maximize STEM OPT while building your visa case
CS, statistics, and mathematics degrees qualify for STEM OPT, giving you up to 3 years of work authorization. Use that runway to publish, build production systems, or contribute to open-source AI projects that strengthen a future O-1 or H-1B petition.
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Get Access To All JobsFrequently Asked Questions
Do I need a PhD to get visa sponsorship for AI roles in the U.S.?
A PhD is not strictly required for H-1B sponsorship in AI roles. A master's degree in computer science, machine learning, or a related field is sufficient for many applied AI positions. However, a PhD significantly expands your options: it qualifies you for research scientist roles at top AI labs, strengthens O-1 extraordinary ability petitions through publications, and makes you eligible for the 20,000 additional H-1B slots reserved for U.S. advanced degree holders. For research-focused positions at organizations like Google DeepMind or OpenAI, a PhD is often a practical requirement.
What is the O-1 visa pathway for AI professionals, and how does it compare to the H-1B?
The O-1A visa recognizes extraordinary ability in sciences and has no annual cap and no lottery. To qualify, you need to meet at least three of eight criteria, which for AI professionals typically include published research, peer review contributions, original contributions of major significance, and a high salary relative to peers. The O-1 is employer-sponsored like the H-1B but can be processed in as little as 15 business days with premium processing. The bar is high but achievable for AI professionals with a solid publication record and demonstrable impact.
Is the National Interest Waiver a viable path for AI researchers?
Yes, and it is gaining traction. The NIW falls under the EB-2 green card category and allows you to self-petition without employer sponsorship. USCIS has shown increasing willingness to approve NIW petitions for AI researchers whose work advances U.S. competitiveness in the field. You need to demonstrate that your work has substantial merit and national importance, that you are well-positioned to advance it, and that waiving the job offer requirement benefits the U.S. A strong publication record and evidence of real-world impact strengthen the case significantly.
Can open-source contributions strengthen my AI visa petition?
Yes. Significant contributions to widely used AI libraries, frameworks, or tools can serve as evidence of original contributions of major significance for O-1 petitions. Metrics like GitHub stars, forks, citations in research papers, and adoption by major companies help quantify the impact. For H-1B petitions, open-source work is less directly relevant but can support the broader argument that the role requires specialized expertise. Document your contributions carefully, including download statistics and any recognition from the community.
Which AI labs and companies are the most active sponsors?
Leading AI labs like OpenAI, Anthropic, Google DeepMind, and Meta FAIR have dedicated immigration teams and routinely sponsor both H-1B and O-1 visas. Large tech companies (Google, Microsoft, Amazon, Apple) sponsor across applied AI, research, and infrastructure roles. Beyond pure AI companies, healthcare AI firms, autonomous vehicle companies, and fintech startups building ML-driven products are also active sponsors. Research institutions and university-affiliated labs offer cap-exempt H-1B positions that bypass the lottery entirely.
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