Jobs / United States / Intersystems Corporation
Senior AI Application Engineer
Intersystems Corporation · 🇺🇸 Boston, MA
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 53 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 6 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Intersystems Corporation paid sponsored hires in similar roles9 certified filings for “Senior Quality Development Engineer” (Software Quality Assurance Analysts and Testers) in MA: $110k–$114k, median $112k. Most were filed at wage level I (56%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Intersystems Corporation
The US Department of Labor certified 53 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 6 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Intersystems Corporation →
About the role
Join the Managed Services team to build and operate production AI applications that improve how InterSystems solutions are deployed, patched, upgraded, migrated, and supported across AWS, Google Cloud, Azure, and on-premises environments. This role is for an engineer who applies agentic AI, LLM-powered tooling, and modern software practices to operational challenges—eliminating manual toil, preventing errors, improving deployment quality, and validating upgrades and migrations. This role requires strong software engineering fundamentals and hands-on experience operating AI applications in production—not solely prompt engineering, prototypes, or demonstrations. You'll collaborate across teams to turn prototypes into secure, reliable production solutions for healthcare and other regulated environments. Success in this role is measured by reducing manual operational effort, improving deployment quality, accelerating migrations, and increasing service reliability through the practical application of AI. Key Responsibilities • Build AI-powered automation for deployments, patching, upgrades, migrations, and operational workflows across cloud and on-premises environments. • Build production validation harnesses for deployments and migrations, including automated testing, configuration drift and anomaly detection, and post-deployment checks against real systems. • Apply LLMs, retrieval-augmented generation (RAG), agentic AI frameworks, and related technologies to create tools that improve operational efficiency and deployment reliability. • Design and build AI solutions with security, data privacy, reliability, and safety as first-class requirements, reflecting the sensitivity of healthcare and other regulated customer environments. • Define pre-production evaluation criteria for AI solution accuracy, safety, reliability, and operational effectiveness. • Design monitoring and observability mechanisms for AI-enabled solutions, including performance, reliability, operational impact, and cost visibility. • Evaluate and integrate AI-assisted development tools, agent platforms, and automation technologies into CI/CD, testing, and operational workflows. • Build internal tooling initiatives that demonstrate measurable reductions in manual operational work and can be matured into supportable production solutions. • Partner with cross-functional teams to integrate AI-driven practices into production workflows and drive adoption. • Stay current with emerging AI technologies and identify practical opportunities to apply them to Managed Services operations. Required Qualifications • 8+ years of professional software engineering experience building, deploying, and supporting production systems, with strong Python skills and working knowledge of technologies such as Bash, ObjectScript, Go, Java, or similar languages. • Demonstrated experience designing, deploying, and supporting production AI applications beyond coursework, hackathons, personal projects, prototypes, or demonstrations. • Hands-on experience applying LLMs and AI technologies to real engineering or operational problems, including APIs, agent frameworks, retrieval-augmented generation (RAG), vector databases, guardrails, memory systems, evaluation frameworks, and model monitoring. • Experience delivering measurable business or operational outcomes through AI, such as reducing manual effort, improving accuracy, accelerating delivery, or increasing service reliability. • Experience building reliable production validation, testing, automation, or operational frameworks with error handling, reporting, and maintainable integration with real systems. • Experience supporting production deployments, upgrades, migrations, patching, monitoring, incident response, reliability, or