We are seeking an experienced and forward-thinking AI Platform Integration Engineer to join our Managed Services team. This role is central to our strategic shift toward delivering our products as fully managed services and SaaS offerings. You will play a critical part in evaluating, adopting, and operationalizing agentic AI-powered software engineering platforms to accelerate our development and delivery capabilities.
As a cross-functional contributor, you will work closely with engineering, operations, and product teams to integrate intelligent coding agents into our workflows and to support the evolution of our cloud-based service models. This role is ideal for someone with a strong technical background, a passion for AI-driven engineering, and an ability to bridge development and service delivery functions.
Key Responsibilities
- Platform Evaluation & Adoption:
- Evaluate agentic AI software engineering platforms for coding, testing, CI/CD, and operational support use cases.
- Lead proofs-of-concept (PoCs) and pilot programs to validate integration and usability within our cloud and managed services ecosystems.
- Collaborate with internal teams to establish best practices for secure and effective use of AI-driven development tools.
- Engineering & Integration:
- Develop automation, extensions, or integration layers between AI coding agents and internal platforms.
- Build prototypes and contribute to internal tooling that accelerates the packaging, deployment, and monitoring of our products as managed services or SaaS.
- Collaboration & Enablement:
- Serve as a technical liaison between Managed Services and Product Engineering teams.
- Provide guidance and training to teams adopting new AI coding workflows.
- Contribute to governance and compliance efforts around AI usage in software engineering.
- Strategic Contribution:
- Influence and help define the architecture and roadmap for delivering InterSystems’ products as scalable, resilient managed services.
- Drive continuous improvement in developer experience and software lifecycle velocity through AI augmentation.
Required Qualifications
- 5+ years of experience in software engineering or platform engineering roles.
- Hands-on experience with cloud-native platforms (AWS, Azure, or GCP), including a deep understanding of services relevant to AI/ML workloads (e.g., Amazon Q, Microsoft Copilot, Azure Machine Learning, Google Cloud AI Platform, etc.).
- Proficiency with containerization technologies (Docker) and orchestration with Kubernetes (including experience with managed Kubernetes services like EKS, AKS, or GKE).
- Strong experience designing, implementing, and maintaining CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions, Azure DevOps).
- Exposure to or direct experience with AI-powered development tools or LLM-based software agents (e.g., GitHub Copilot, Tabnine, Amazon CodeWhisperer, Windsurf/Codeium, etc.).
- Strong programming skills (Python, Go, or Java preferred).
- Demonstrated ability to lead technical evaluations, prototypes, and cross-functional initiatives.
- Excellent communication skills and the ability to operate effectively across engineering, operations, and leadership teams.
Preferred Qualifications
- Experience in building or operating SaaS platforms or managed services in a regulated industry.
- Familiarity with security, compliance, and governance concerns related to AI in enterprise environments, including data privacy and model explainability
- Background in DevOps, SRE, or Platform Engineering is a strong plus.
- Proficiency with Infrastructure as Code (IaC) tools such as Terraform or CloudFormation
- Experience with API design and development (RESTful APIs, GraphQL, gRPC) for integrating AI services
- Knowledge of monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack, Datadog) for cloud-native AI applications
- Understanding of cloud security best practices, including IAM, network security, and data encryption at rest and in transit
We are an equal-opportunity employer and do not discriminate because of race, color, religion, sex, national origin, ancestry, marital status, veteran status, age, disability, sexual orientation or gender identity or expression or any other legally protected category. InterSystems is an E-Verify Employer in the United States.
About InterSystems
InterSystems, a creative data technology provider, delivers a unified foundation for next-generation applications for healthcare, finance, manufacturing, and supply chain customers in more than 80 countries. Our data platforms solve interoperability, speed, and scalability problems for large organizations around the globe to unlock the power of data and allow people to perceive data in imaginative ways. Established in 1978, InterSystems is committed to excellence through its 24×7 support for customers and partners around the world. Privately held and headquartered in Boston, Massachusetts, InterSystems has 38 offices in 28 countries worldwide. For more information, please visit InterSystems.com.
Top Skills
What the Team is Saying
What We Do
InterSystems has been the information engine behind the world's most important applications in healthcare, business and government for over 40 years. Our software products provide advanced data management, integration, and analytics technologies used daily by millions of people in 80+ countries.
Why Work With Us
Because we are a highly profitable, privately-held software company, we place our clients first in everything we do. We value intellectual curiosity and a relentless desire to outperform competitors. With many MIT and Ivy League alumni, along with experienced subject matter experts, you will work with the best of the best.
Gallery
InterSystems Teams
InterSystems Offices
OnSite Workspace
For the first 3 or 6 months (experience and role dependent), we ask our employees to work in the office 5 days a week. After that time, our employees receive 24 work from home Fridays to use at their discretion throughout the year.
