InterSystems
Senior AI Application Engineer
Boston, MA · Senior
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$1,237 more — $138,237 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $138,237 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Boston-Cambridge-Newton, MA-NH. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Green-card follow-through: 89%
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- This role requires strong software engineering fundamentals and hands-on experience operating AI applications in production-not solely prompt engineering, prototypes, or demonstrations.
- 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.
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 monitoring and observability mechanisms for AI-enabled solutions, including performance, reliability, operational impact, and cost visibility.
- 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.
- Established in 1978, InterSystems is committed to excellence through its 24×7 support for customers and partners around the world.
- Candidates may use AI for CV or interview preparation, provided materials are truthful and reflect their own experience.
Requirements
- Demonstrated experience designing, deploying, and supporting production AI applications beyond coursework, hackathons, personal projects, prototypes, or demonstrations.
- Experience delivering measurable business or operational outcomes through AI, such as reducing manual effort, improving accuracy, accelerating delivery, or increasing service reliability.
- Experience supporting production deployments, upgrades, migrations, patching, monitoring, incident response, reliability, or cloud operations across AWS, Google Cloud, Azure, and on-premises environments.
- Docker, Kubernetes, CI/CD, and Infrastructure-as-Code experience with Terraform, CloudFormation, Pulumi, or similar tools is required.
- Strong communication and problem-solving skills, with the ability to translate operational challenges into scalable automation.
Nice to have
- Background in cloud migrations, patch management, release automation, or platform modernization.
- Experience integrating commercial or open-source foundation models into production AI applications.
- Open-source contributions in AI, cloud, automation, or software engineering.
- Familiarity with AI-assisted development tools such as GitHub Copilot, Claude Code, Cursor, Tabnine, Replit, or equivalents.
- Company-sponsored outings and employee events
- InterSystems is an E-Verify Employer in the United States.
- The estimated base compensation range for this role is:
- About InterSystems
Compensation
- $137,000 - $212,000 USD
Benefits
- 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.
Equal opportunity
- Any applicant who requires a wearable device or any type of technology support during the interview process as a reasonable accommodation under the ADA or applicable state or country laws and regulations must contact the InterSystems Human Resources Department prior to attending or participating in any interview or screening process.
This listing is sourced directly from InterSystems's careers page and normalized into a canonical job model.