Senior AI Application Engineer
InterSystems10 days ago
Base Salary
$137k - $212k/yr
Responsibilities
- Build AI-powered automation for deployments, patching, upgrades, migrations, and operational workflows across cloud and on-premises environments.
- Develop production validation harnesses with automated testing, configuration drift and anomaly detection, reporting, and post-deployment checks against real systems.
- Apply LLMs, retrieval-augmented generation, agentic AI frameworks, and related technologies to improve operational efficiency and deployment reliability.
- Design AI solutions with security, data privacy, reliability, and safety requirements for healthcare and other regulated environments.
- Define pre-production evaluation criteria for AI accuracy, safety, reliability, and operational effectiveness.
- Design monitoring and observability 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 that reduces manual operational work and mature prototypes into supportable production solutions.
- Partner with cross-functional teams to integrate AI-driven practices into production workflows and drive adoption.
- Track emerging AI technologies and identify practical applications for Managed Services operations.
Requirements
- 8+ years of professional software engineering experience building, deploying, and supporting production systems.
- Strong Python skills and working knowledge of 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 with LLM APIs, agent frameworks, retrieval-augmented generation, vector databases, guardrails, memory systems, evaluation frameworks, and model monitoring.
- Experience delivering measurable operational or business outcomes through AI.
- Experience building reliable production validation, testing, automation, or operational frameworks that integrate with real systems.
- Experience with production deployments, upgrades, migrations, patching, monitoring, incident response, reliability, or cloud operations across AWS, Google Cloud, Azure, and on-premises environments.
- Required experience with Docker, Kubernetes, CI/CD, and Infrastructure-as-Code using Terraform, CloudFormation, Pulumi, or similar tools.
- Strong understanding of security, data privacy, and software engineering practices for sensitive and regulated environments.
- Strong communication and problem-solving skills, including the ability to explain production AI architecture, evaluation, security controls, support models, and measurable outcomes.
- Preferred background in cloud migrations, patch management, release automation, or platform modernization.
- Preferred experience integrating commercial or open-source foundation models into production AI applications.
- Open-source contributions in AI, cloud, automation, or software engineering are preferred.
- Experience in regulated industries such as healthcare, life sciences, financial services, or government is preferred.
- Familiarity with AI-assisted development tools such as GitHub Copilot, Claude Code, Cursor, Tabnine, Replit, or equivalents is preferred.
Benefits
- Comprehensive medical, dental, and vision insurance.
- Disability and life insurance.
- 401(k) profit-sharing contribution.
- Generous paid time off and paid holidays.
- Paid parental leave.
- Tuition reimbursement for continued learning and professional development.
- Company-sponsored outings and employee events.
- Cafeteria stipend.
- Convenient onsite gym.
Categories
About InterSystems
InterSystems builds data platforms and healthcare software for enterprises and public-sector providers, including the InterSystems IRIS database, HealthShare interoperability suite, and TrakCare electronic health record. It sells licenses, cloud services, and support to customers in healthcare, financial services, manufacturing, and supply chain. Founded in 1978 and headquartered in Boston, the privately held company serves organizations in 80+ countries.