Senior Technical Architect

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 providing a current good faith estimate of the anticipated base salary range for this position depending on a variety of factors including experience, education, skills, and performance.

Other compensation may include a discretionary annual variable target incentive.

The company also provides generous employee benefits including:

• Medical, vision, and dental insurance

• Short-term and long-term disability, and life insurance

• 401(k) Profit Sharing Contribution

• Paid Time Off and Holidays

• Parental Leave

• Tuition reimbursement

The estimated base compensation range for this role is:
$142,000—$197,000 USD

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.