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Technical Lead, AI and Engineering, HBS Foundry

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HBS

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Location:
United States , Boston

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

170000.00 - 200000.00 USD / Year
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Job Description:

Technical Lead acts as the primary architectural authority and engineering manager for the HBS Foundry platform. This hands-on role is responsible for architecting scalable technical solutions, managing the engineering team, and working closely with the Product Team and Business Leadership to build AI-powered tools that deliver measurable value.

Job Responsibility:

  • Lead development and implementation of complex information technology projects and architecture to solve problems with wide impact, requiring high levels of functional integration
  • Act as the primary architectural authority and engineering manager for the HBS Foundry platform
  • Architect, design, and provide hands-on contribution to the development and deployment of scalable, secure, and maintainable technical solutions
  • Make technical design choices and follow technical standards
  • Balance fast, lean innovation with practical implementation, technical feasibility, technical debt, and system stability
  • Evaluate emerging AI technologies and determine their applicability to platform needs
  • Manage the engineering team in alignment with product roadmap and critical deadlines
  • Translate business and product requirements into detailed technical specs and engineering tasks
  • Mentor software developers, conduct code reviews, and ensure high-quality coding
  • Oversee the software product development lifecycle, including MLOps, CI/CD pipelines, testing frameworks, and release management, as well as data pipelines, and governance
  • Partner with the Product Team, Designers, and Business Director to align on strategic priorities, estimate development effort, and define timelines
  • Communicate complex technical concepts and trade-offs to non-technical stakeholders
  • Ensure responsible data management and AI practices (fairness, transparency, and data privacy) and ensure governance frameworks for AI model deployment and monitoring
  • Navigate regulatory requirements, security needs, and compliance consideration
  • Build trust and collaboration by being present on-site and engaging directly with colleagues

Requirements:

  • Minimum of seven years’ post-secondary education or relevant work experience
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related technical field
  • 5+ years of Software Engineering (ideally AI-focused) experience, including 2+ years in a Lead Engineer, Architect, or equivalent technical leadership role
  • Deep understanding of and strong hands-on experience with: Application & Product Engineering
  • Modern web application architecture, including frontend, middleware, backend, and full-stack development
  • Languages and frameworks including Python, TypeScript/JavaScript, NextJS, React, Node.js, and SQL
  • APIs, Services & Data
  • Microservices and API design, including REST and GraphQL
  • Asynchronous and event-driven systems
  • Authentication and authorization
  • Data and storage systems (relational, NoSQL, and vector databases)
  • Cloud Platforms & Infrastructure
  • Cloud-native and distributed systems design
  • Containerization and orchestration (e.g., Terraform, Docker)
  • AWS, including Bedrock, SageMaker, EC2, Lambda, S3, RDS, and IAM
  • Additional cloud platforms (Azure, GCP) and cloud-agnostic design principles
  • DevOps, MLOps & Delivery
  • CI/CD pipelines and infrastructure as code
  • Model deployment, monitoring, and operational reliability
  • AI & LLM Systems
  • AI/ML tools and frameworks (e.g., LangGraph) and production-grade API integrations
  • Design, deployment, and evaluation of LLM-powered systems, including prompt engineering and retrieval-augmented generation (RAG) architectures
What we offer:
  • Generous paid time off including parental leave
  • Medical, dental, and vision health insurance coverage starting on day one
  • Retirement plans with university contributions
  • Wellbeing and mental health resources
  • Support for families and caregivers
  • Professional development opportunities including tuition assistance and reimbursement
  • Commuter benefits, discounts and campus perks

Additional Information:

Job Posted:
February 16, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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