Technical Solutions Lead

Jobtailor

Massachusetts

On-site

USD 140,000 - 210,000

Full time

14 days+

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Job summary

Jobtailor is seeking an experienced engineering leader to translate platform architecture and requirements into executable delivery plans across internal and partner teams.

You will lead end-to-end delivery spanning Front-end applications, Backend services and APIs, Data platforms and AI/ML components, ensuring scalable, secure solutions that meet regulatory and resilience standards while coaching diverse engineering teams.

Qualifications

  • 15+ years of experience in software engineering, data platforms, or AI/ML-enabled systems.
  • Demonstrated experience leading teams delivering enterprise-scale, integrated technology solutions.
  • Strong foundation across application development, data analytics, and AI/ML-enabled systems.
  • Experience integrating complex systems across APIs, data layers, and partner ecosystems.
  • Familiarity with modern cloud platforms and enterprise integration patterns.
  • Experience in financial services or other regulated environments.
  • Strong people leadership experience, including hiring, coaching, and performance management.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Responsibilities

  • Translate platform architecture and product requirements into executable delivery plans across internal and partner teams
  • Lead coordinated delivery of end-to-end solutions spanning Front-end, Backend, Data platforms and AI/ML components
  • Ensure consistent, high-quality execution aligned to architectural standards
  • Drive seamless integration across application, data, AI, and partner ecosystems
  • Identify and resolve cross-team dependencies, integration risks, and technical gaps
  • Maintain alignment with requirements and architecture while ensuring practical execution
  • Lead and develop multidisciplinary engineering teams across Applied AI / ML, Data engineering, Application development
  • Provide day-to-day direction, prioritization, and coaching
  • Ensure solutions meet enterprise standards for Scalability and performance, Security and resilience, Regulatory and compliance requirements, and Operational supportability
  • Define and manage delivery processes, including Sprint planning and execution cadence, Cross-team coordination mechanism

Skills

Software Engineering
Data Platforms
AI/ML Systems
Application Development
API Integration
Data Analytics
Cloud Platforms
Enterprise Integration Patterns
Sprint Planning
Performance Management

Education

Bachelor’s Degree In Computer Science
Master’s Degree In Engineering

Job description


  • Translate platform architecture and product requirements into executable delivery plans across internal and partner teams

  • Lead coordinated delivery of end-to-end solutions spanning: Front-end applications, Backend services and APIs, Data platforms and AI/ML components

  • Ensure consistent, high-quality execution aligned to architectural standards

  • Drive seamless integration across application, data, AI, and partner ecosystems

  • Identify and resolve cross-team dependencies, integration risks, and technical gaps

  • Maintain alignment with requirements and architecture while ensuring practical execution

  • Lead and develop multidisciplinary engineering teams across, Applied AI / ML, Data engineering, Application development

  • Provide day-to-day direction, prioritization, and coaching

  • Ensure solutions meet enterprise standards for Scalability and performance, Security and resilience, Regulatory and compliance requirements, and Operational supportability

  • Define and manage delivery processes, including Sprint planning and execution cadence, Cross-team coordination mechanism


Requirements


  • 15+ years of experience in software engineering, data platforms, or AI/ML-enabled systems

  • Demonstrated experience leading teams delivering enterprise-scale, integrated technology solutions

  • Strong foundation across: Application development (front-end and backend), Data and analytics platform, AI/ML-enabled systems

  • Experience integrating complex systems across APIs, data layers, and partner ecosystems

  • Familiarity with modern cloud platforms and enterprise integration patterns

  • Experience in financial services or other regulated environments

  • Strong people leadership experience, including hiring, coaching, and performance management

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field


Core Competencies

Demonstrates expertise in leading multidisciplinary engineering teams to deliver enterprise-scale technology solutions, with a strong focus on application development, data platforms, and AI/ML integration. Ensures alignment with architectural standards and regulatory compliance while driving high-quality execution and cross-team collaboration.


Highest-signal resume keywords


  • 15+ Years Experience In Software Engineering

  • Enterprise-Scale Technology Solutions Delivery

  • Application Development (Front-End And Backend)

  • AI/ML-Enabled Systems Integration

  • People Leadership Experience


ATS Optimization Keywords

Hard Skills


  • Software Engineering

  • Data Platforms

  • AI/ML Systems

  • Application Development

  • API Integration

  • Data Analytics

  • Cloud Platforms

  • Enterprise Integration Patterns

  • Sprint Planning

  • Performance Management


Soft Skills


  • Coaching

  • Prioritization

  • Cross-Team Coordination


Certifications & Qualifications


  • Bachelor’s Degree In Computer Science

  • Master’s Degree In Engineering


Industry Keywords


  • Financial Services

  • Regulated Environments

  • Scalability

  • Security

  • Operational Supportability

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Health benefits
Unlimited PTO
Professional development
+3