The Data Platforms Health team builds native platform solutions that enable healthcare-specific platform capabilities. This development role in the Database Platforms department will contribute to AI-based features and workflows within the InterSystems Health Connect Cloud, InterSystems FHIR Server, InterSystems IRIS for Health and InterSystems Health Connect products.

The team needs a developer who can drive AI model and AI architecture design and development for intelligent tooling features for healthcare builders and administrators. The team also needs thought leadership to adopt evolving AI technologies so that InterSystems can be a leader in AI-driven features and workflows.

You are encouraged to apply if this role sounds interesting to you, even if you have doubts about being a competitive candidate. InterSystems prides itself on investing in its team members.

This position is in the InterSystems headquarters in Boston, MA.

Responsibilities

You will design, build, train, and deploy machine learning and agentic AI models, and consume LLMs and custom models using REST APIs. Working with product management and support specialists, you will design and implement data cleansing and feature extraction tools to improve the accuracy of predictions and data generation for a healthcare setting. Your responsibilities will include integrating the models into existing products and refining the models to meet evolving product needs.

All work must follow the team’s development workflow including use of source control, design and code reviews, and clear documentation. You are responsible for the quality of your code and must design automated tests to verify the effectiveness of the models and features.

This role will require you to respond to technical questions about expected product behavior and recommended best practices from support specialists and sales engineers. You will also collaborate with the release engineering team to ensure that your model and tools are appropriately deployed in cloud and on-prem environments.

The technology stack includes Python, AWS Bedrock, ObjectScript, and InterSystems IRIS.

As a leader, you are expected to create project plans with estimates, track execution against the plan, and proactively communicate anticipated delays in the project. With support from your manager, you will coordinate with other teams and overcome blockers and inter-team misalignments to deliver your projects. You will also provide thought leadership in the areas of Gen AI, agentic AI, and other evolving technologies, and encourage other team members to adopt these technologies for the platform.

Qualifications Required

• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
• 8+ years of hands-on professional experience as a software developer or similar. Open to considering less experience in combination with a Graduate degree.
• Experience with data analysis, data cleansing, feature extraction, and model training.
• Experience with Python and common libraries like Pandas, NumPy, and Scikit-learn.
• Experience with model training and evaluation.
• Experience with Agent orchestration and runtime, MCP, tool registration, and multi-model routing.
• Experience with design or consumption of REST APIs.
• Strong verbal and written communication skills.

Preferred Qualifications

• Self-starter with curiosity to experiment and learn, and confidence to challenge the status quo.
• Professional experience with machine learning algorithms like neural networks and LLMs.
• Professional experience with programmatic access of LLMs and/or open-source models.
• Experience with observability of model performance and runtime costs.
• Experience with model governance and design of guardrails for model security.
• Professional experience with deep learning libraries like TensorFlow, PyTorch, or Keras.
• Professional experience with health messaging standards, especially FHIR.
• 3+ years of experience with other programming languages like Java, C#, C++, or ObjectScript.

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.

We are looking for a Senior Technical Product Manager to own the roadmap for our interoperability portfolio. This role sits at the intersection of deep healthcare standards knowledge and strategic product thinking. You will work with world-class engineers, engage directly with enterprise customers, and influence the direction of some of the most business-critical healthcare software in use today.

The role offers a genuine opportunity to shape standards adoption at scale, lead AI-native interoperability capabilities from concept to launch, represent InterSystems at HL7 and HIMSS, and be recognized for making a measurable difference in how healthcare data moves.

Key Responsibilities:

• Define and drive the multi-year product roadmap for InterSystems Data Platform Healthcare Interoperability Engine and Platforms from discovery through GA aligned to company strategy and regulatory timelines
• Translate healthcare interoperability standards and regulatory requirements (TEFCA, Da Vinci IGs, CMS prior auth, HTI-2) into prioritized product features with clear delivery milestones
• Run structured customer discovery with enterprise accounts: IDNs, HIEs, payers, and life sciences organizations to validate product direction and surface unmet needs
• Lead competitive analysis against competitors’ vendors; translate findings into differentiated positioning and roadmap decisions
• Define strategy for AI-native interoperability.
• Manage and prioritize the product backlog using structured frameworks with explicit assumptions; author PRDs and acceptance criteria that engineering teams can act on independently
• Act as the external technical voice of the product — presenting roadmap to enterprise customers, engaging at HIMSS and HL7 working groups, and supporting sales as a subject matter expert
• Collaborate with sales, marketing, customer success, and support to align on go-to-market strategy, product positioning, and customer escalation paths
• Define and track product KPIs across the interoperability portfolio; synthesize customer feedback, support signals, and adoption data into continuous roadmap refinement

Experience/Qualification Required

• 10+ years of technical product management in healthcare IT, with primary focus on interoperability, integration engines.
• Working-level expertise in healthcare interoperability standards: HL7 V2.x, FHIR R4, CDA/C-CDA, SMART on FHIR (OAuth 2.0 flows, scopes, launch contexts), and X12 EDI required at the level needed to review architecture designs and validate conformance
• Demonstrable experience with healthcare data transformations (e.g., HL7 V2 to FHIR, CDA to FHIR).
• Experience working with EHR/EMR systems (Epic, Oracle Health, Meditech), health information exchanges, and TEFCA or QHIN data exchange workflows
• Hands-on familiarity with at least one enterprise integration engine (InterSystems Health Connect/Ensemble, Rhapsody, Mirth Connect, or equivalent) - able to read routing logic and transformation configurations
• Demonstrated ability to drive product strategy, manage cross-functional delivery teams, and communicate effectively with both executive and engineering audiences
• Bachelor’s degree in computer science, Engineering, Health Informatics, or a related field; advanced degree (MS, MPH, MBA) a plus
• Experience with programming (Python, Java, or similar) sufficient to prototype FHIR API calls, inspect JSON/XML payloads, and engage as a technical peer in design reviews
• Participation in HL7 working groups, Da Vinci project calls, ONC FAST, or HIMSS interoperability initiatives; experience with ONC Health IT certification (HTI-1 / USCDI v3)

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.

We are seeking an experienced Technical Architect to serve as the technical leader of our Supply Chain Data development team. This role will own architectural vision, technical standards, and solution design across our supply chain solutions built on top of our core enterprise data platform.

The Technical Architect will bridge technology and business, lead adoption of emerging technologies (including GenAI), mentor engineers across all aspects of software development, and act as a trusted technical advisor to both internal stakeholders and customers.

This is a technical leadership role requiring deep technical expertise, strong business acumen, and the ability to influence across engineering, product, sales, and executive teams.

Key Responsibilities

• Architecture & Technical Leadership
  • Define and own the overall architecture strategy for supply chain products and solutions.
  • Establish and enforce architectural principles, design standards, and engineering best practices.
  • Lead solution design for complex data integration, analytics, AI, and application use cases.
  • Ensure scalability, performance, reliability, security, and maintainability (functional and non-functional requirements).
  • Drive modernization initiatives including cloud-native architectures, microservices, APIs, and data-driven solutions.
  • Evaluate and lead adoption of new technologies, including Generative AI, data fabric architectures, and intelligent automation.
• GenAI & Advanced Technology Adoption
  • Identify high-value use cases for GenAI and AI within supply chain workflows.
  • Define architecture patterns for integrating LLMs, vector search, and AI services into enterprise systems.
  • Establish governance, security, and responsible AI practices.
  • Work with product and business stakeholders to translate AI innovation into measurable business outcomes.
• Business & Customer Engagement
  • Act as subject matter expert (SME) in customer interactions, architecture discussions, and solution workshops.
  • Translate complex technical concepts into clear business value propositions.
  • Support pre-sales activities, PoCs, and strategic customer initiatives.
  • Provide best practices guidance on supply chain data management, integration, analytics, and system design.
• Mentorship & Engineering Excellence
  • Mentor junior and mid-level engineers across:
    • Architecture and system design
    • Coding standards and code reviews
    • DevOps and CI/CD
    • Testing strategies
    • Operational readiness and supportability
  • Promote engineering discipline across the full software lifecycle (design → development → testing → deployment → maintenance → support).
  • Foster a culture of technical ownership, continuous learning, and innovation.
• Strategic Advisory Role
  • Serve as technical advisor to product management and management team.
  • Contribute to product roadmap discussions from an architectural and technical feasibility perspective.
  • Identify long-term technology trends relevant to supply chain and data platforms.
  • Help align engineering investments with company strategy.

Required Qualifications

• 10+ years of experience in software engineering, with at least 5 years in architecture or technical leadership roles.
• Strong experience designing and delivering enterprise-grade data platforms or distributed systems.
• Deep knowledge of:
  • Data architecture (data modeling, integration, ETL/ELT, streaming)
  • APIs and microservices architecture
  • Cloud platforms (Azure, AWS, or GCP)
  • CI/CD, DevOps, and containerization (Docker, Kubernetes)
• Experience with AI/ML integration; exposure to Generative AI, LLMs, or intelligent automation preferred.
• Strong understanding of non-functional requirements: scalability, performance, security, observability, resiliency.
• Experience working directly with customers in technical advisory or solution architecture roles.
• Proven track record of mentoring engineers and raising overall engineering quality.

Preferred Qualifications

• Experience in supply chain domain (planning, inventory, logistics, demand forecasting, procurement, etc.).
• Experience building on top of a core enterprise data platform or data fabric architecture.
• Experience with:
• Decision intelligence solutions
• Real-time data processing
• Vector databases and AI integration patterns
• Low-code or composable platform architectures
• Familiarity with data governance, data quality, and master data management.
• Strong communication and presentation skills with executive-level stakeholders.

Leadership Competencies

• Strategic thinker with hands-on technical depth.
• Strong decision-maker who balances pragmatism and innovation.
• Ability to influence without authority.
• Comfortable operating in ambiguity and scaling teams and architecture.
• Passion for mentoring and building high-performing engineering teams.
• Business-oriented mindset with the ability to connect architecture decisions to ROI.

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.

InterSystems is a global leader in healthcare data management and interoperability, providing mission-critical technology that powers hospitals, health systems, and national infrastructures around the world. Our products underpin some of the most trusted healthcare and financial systems in the industry — where availability and security are non-negotiable requirements.

As a Security Product Manager, you will help protect the integrity of these critical infrastructures by ensuring that our platforms, data services, and innovations are built on secure, standards-based foundations. You will define and drive product strategy at the intersection of database security, cloud infrastructure, and AI integration, ensuring our products deliver innovation, resilience, and trust.

Security at InterSystems is a horizontal capability, influencing every layer of our technology stack. This role requires close collaboration with engineering teams and product managers across multiple domains to ensure security is designed, implemented, and communicated consistently across all products and services.

Key Responsibilities

• Drive Security-First Product Strategy: Define and execute product strategy emphasizing security by design across data management, application integration, and AI-enabled components.
• Customer and Market Research: Conduct interviews, surveys, and technical deep dives with customers and partners to identify emerging security challenges, compliance requirements, and integration opportunities. Translate insights into actionable product features and strategic priorities.
• Integrate Industry Standards: Champion and implement security and interoperability standards such as KMIP, OAuth, OpenID Connect, TLS, and quantum resistant encryption within product architectures.
• Database and Platform Security: Collaborate with engineering and architecture teams to enhance encryption, key lifecycle management, auditing, and fine-grained access control in both on-premises and cloud-hosted database environments.
• Cloud Security and Compliance: Partner with cloud platform teams to embed robust security controls across hybrid and multi-cloud environments, ensuring secure networking, storage, and identity federation.
• AI and MCP Integration: Guide secure integration of AI-powered features and Model Context Protocol (MCP) interfaces to ensure data privacy, provenance, and standardized interoperability between models, data, and applications.
• Security as a Horizontal Function: Work closely with Product Managers across different product areas—such as interoperability, analytics, developer tools, and healthcare solutions—to ensure consistent application of security principles, standards, and feature integration across the portfolio.
• Threat Modeling and Risk Mitigation: Collaborate with security architects to identify and mitigate emerging risks, including those introduced by evolving AI and data integration technologies.
• Cross-Functional Collaboration: Engage with product, engineering, compliance, and customer-facing teams to translate complex security requirements into actionable, value-driven product capabilities.
• Security Evangelism: Communicate security and interoperability capabilities effectively to internal stakeholders, customers, and partners, driving confidence in the platform’s resilience and integrity.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Cybersecurity, or related field. Advanced degrees or certifications in product management or information security (e.g., CISSP, CISM, CCSK) are a plus.
• 5+ years of experience in security engineering, product management, or related technical disciplines, ideally in cloud, database, or AI-centric environments.
• Strong understanding of database security, key management, encryption standards, and secure API design.
• Familiarity with KMIP, OAuth, OIDC, and other interoperability protocols for secure data exchange.
• Experience integrating or governing AI/ML systems and MCP-based interfaces to ensure data protection and compliance in intelligent workloads.
• Understanding of cloud service models (IaaS, PaaS, SaaS) and cloud-native security controls.
• Excellent communication and collaboration skills, with proven ability to coordinate across teams and work effectively with other Product Managers to align on shared goals.
• Demonstrated ability to deliver complex, cross-functional initiatives from concept through secure, compliant release.

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.

At InterSystems, we’re redefining the future of analytics and intelligent data platforms. Our high-performance, hyper-capacity engine supports a multi-model storage layer—blending structured, semi-structured, and unstructured data—to power a new generation of AI-native and real-time workloads.

We believe in technical craftsmanship, deep collaboration, and a culture where ambitious people can build bold systems. The SQL Engine group is the nerve center of our product—where query processing meets distributed intelligence. We consider engineering a science, an art, and a craft, and we cultivate an environment where the most talented minds can thrive, innovate, and make a lasting impact.

This is your chance to design the core foundations of a data platform trusted by the world's most mission critical systems and AI research teams.

What You’ll Do

As a Distinguished Developer in the SQL Engine group, you'll help build the next-generation query processing stack, optimizing across both traditional analytics and emerging AI-driven workloads. You’ll contribute to:

• Query parsing, validation, and transformation
• Logical/physical optimization over multi-model data (row, columnar, stream, document, vector)
• Plan generation and adaptive execution strategies
• Code generation and vectorized execution
• Compiler-accelerated storage access patterns for AI workflows
• Collaborative integration with our multi-model storage engine

You’ll design data processing abstractions and execution engines that enable AI-native features like fast vector search, graph traversal, and probabilistic joins—all within a familiar SQL interface.

Your Impact

• Architect and implement query optimization and execution components that scale across petabytes
• Design tooling and frameworks that make AI and analytics convergence seamless
• Collaborate with platform and storage teams to leverage multi-model indexing and caching strategies
• Contribute to building programmable, intelligent data pipelines that drive downstream ML model performance
• Mentor engineers, guide technical debates, and influence long-term system direction
• Champion a culture of quality, rigor, and innovation

What We’re Looking For

• 10+ years of experience in systems-level or database internals engineering
• Proven expertise in SQL query engines, optimizers, execution runtimes, or data compiler toolchains
• Experience with multi-model data systems (SQL + JSON, vector search, graph traversal)
• Expert in at least one systems programming languages, or LLVM-based codegen environments
• Strong grasp of relational algebra, compiler construction, and data-intensive workloads
• Familiarity with AI infrastructure or ML inference pipelines is a strong plus
• Passion for designing software that balances performance, correctness, and usability
• PHD degree or published research experience is highly advantageous.

Our Engineering Culture

• Innovation is expected: Engineers propose, prototype, and lead from the front
• Excellence over ego: Code is debated, ideas are tested, and the best ones win
• Long-term vision: We optimize for architectural clarity and product longevity
• Cross-domain thinking: We solve storage, processing, and AI problems together
• Sane pace, deep focus: We value craft, creativity, and time to do both well

Ready to Build What’s Next?

If you dream of working on deep query systems, love systems-level programming, and want to help create a platform that bridges SQL, multi-model data, and AI—we’d love to talk.

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.

Cloud Security Architect

A cloud security architect must be conversant with a breadth of technologies used to protect data, workloads, and systems within cloud platforms.

Responsibilities of a cloud security architect include:

• Designing and implementing cloud security strategies and policies that meet an organization's specific needs.
• Ensuring the security of cloud-based data and applications against unauthorized access, theft, and other threats.
• Conducting regular security assessments and audits to identify vulnerabilities and develop plans to address them.
• Collaborating with other IT professionals, including network engineers, developers, security team, and operational team to integrate cloud security measures into existing systems and processes.
• Staying up to date on the latest cloud security technologies, trends, and best practices.
• Reviewing and understanding remediation options from application vulnerability monitoring and assessment tooling.

Skills sought in a cloud security architect:

• Strong analytical and problem-solving skills, with an ability to think strategically and tactically about complex cloud security issues.
• Excellent communication skills, including communicating complex technical concepts to non-technical stakeholders.
• The ability to work independently but collaborate closely and effectively with developers and other IT professionals at project start and critical project junctures.
• The ability to manage multiple projects and priorities and meet deadlines in a fast-paced environment.
• Attention to detail and a commitment to quality work.

Requirements for a cloud security architect are:

• A bachelor's or master's degree in computer science, information technology, or a related field.
• More than 7 years of cloud security experience, focusing on designing and implementing secure cloud computing solutions.
• A strong understanding of cloud computing technologies, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
• Knowledge of security frameworks such as ISO 27001, NIST Cybersecurity Framework, and CIS Controls.
• Familiarity with cloud security platforms like Microsoft Azure, Amazon Web Services, and Google Cloud Platform.
• Certifications such as Certified Cloud Security Professional (CCSP), Certified Information Systems Security Professional (CISSP), or Certified Cloud Architect (CCA) are preferred.

Desirable experience for a cloud security architect include:

• Identity Access Management and Identity Provider technologies and features
• Authentication and authorization strategies; SSO
• DevSecOps practices and testing as part of CICD pipeline workflows
• Key and secrets management services
• Networking and security best practices using VPC/VNet/Subnet deployment
• Kubernetes technology including network policy management
• Experience with private link / endpoint strategies

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.