Establish reusable AI and agentic workflow patterns that improve engineering productivity, reliability, and operational effectiveness.
Partner across engineering and business teams to deliver strategic capabilities while advancing engineering standards and practices.
Within the first 12–18 months, lead 2–3 significant capabilities from design through production and demonstrate measurable business, reliability, or productivity improvements.
Key Areas of Impact
Technical Depth and Delivery
Lead the design, development, implementation, and support of complex technology solutions across modern cloud-based platforms.
Drive AI-enabled engineering practices, automation, CI/CD improvements, and operational excellence initiatives.
Architectural Scale
Design scalable, reliable, and maintainable systems while evaluating technical tradeoffs across platforms and dependencies.
Design and orchestrate agent-based workflows that integrate agents, skills, tools, and human oversight.
Team Collaboration Scale
Collaborate with engineering teams, architects, product partners, and business stakeholders to deliver shared outcomes.
Mentor engineers through technical guidance, knowledge sharing, and engineering best practices.
Influence and Advocacy
Champion engineering excellence, operational best practices, and technical solutions that improve quality and customer outcomes.
Communicate technical recommendations, risks, and strategy to both technical and non-technical audiences.
Scope of Vision
Translate business objectives into scalable technical solutions and execution plans with a long-term perspective.
Identify opportunities to modernize systems, reduce technical debt, and improve operational performance.
Scale of Business Understanding and Impact
Apply business and customer needs to technical prioritization and solution design decisions.
Deliver solutions that improve customer experience, operational effectiveness, and business outcomes.
This position is on-site and will reside in one of the areas listed below, depending on availability. Candidates must be local or willing to relocate. Relocation assistance is not offered for this position.
Atlanta, GA
Dallas, TX
Detroit, MI
Laredo, TX
Newark, NJ
Qualifications for Success
Required
7+ years of professional software engineering experience with strong fundamentals in architecture, APIs and integration, testing, security, observability, and maintainable code.
Advanced hands-on proficiency in Java and Spring Boot and experience building enterprise applications with Angular.
Experience building AI-enabled solutions in production, including RAG, evaluation, guardrails, and responsible AI practices.
Experience using coding agents and AI-assisted development tools, including context management and validation of AI-generated output.
Experience designing agentic workflows with task decomposition, tool integration, human-in-the-loop review, approval processes, and auditability.
Experience automating engineering and operational workflows, including CI/CD pipelines, automated testing, data or process pipelines, and monitoring.
Bachelor’s, master’s, or doctoral degree in Computer Science, Information Systems, Engineering, Business, or a related field, or an equivalent combination of education and experience.
Current role-based Microsoft Azure certification, or the ability to obtain one within 12 months of hire.
Preferred
Experience building agents and agentic workflows using Azure AI Foundry, MCP, or comparable agent platforms.
Experience with GraphQL APIs and event-driven architectures such as Kafka.
Experience deploying containerized applications on Kubernetes using GitOps and infrastructure as code.
Python experience for automation, data integration, or AI workloads.
Experience in supply chain, logistics, customs, or freight forwarding.
Experience with Agentic AI development processes and practices.
Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not transfer or sponsor applicants for U.S. work authorization (such as an H-1B visa) for this opportunity.
Compensation and Benefits
Base Salary: $142,000 - $214,000
(The listed salary range is representative of the Newark market. Compensation may vary for positions based in Atlanta, GA, Dallas, TX, Detroit, MI, or Laredo, TX.)
Benefits: Expeditors offers competitive benefits to all full-time employees including:
Paid vacation
Holidays (10)
Flexible Days (2)
Paid Sick Time (accrual rate of 1 hour of sick time per 30 hours paid)
401(k) Retirement Savings Plan with employer match
Employee Stock Purchase Plan (ESPP)
Medical, Prescription Drug, Dental & Vision Coverage
Health Savings Account (HSA)
Life and Disability Insurance
Paid Parental Leave (additional eligibility criteria)
Dependent Care Flexible Spending Account (DC FSA)
Commuter Benefit
Employee Assistance Program (EAP)
Training and Personnel Development Program
Educational Assistance and Reimbursement
Position is full time (40 hours per week) Monday through Friday
All your information will be kept confidential according to EEO guidelines.
