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2 months ago

Engineering Manager (AI)

Work format
onsite
Work type
fulltime
Grade
senior
English
b2
Country
US
This vacancy is from Hirify.Global listVacancy from Hirify Global, list of international tech companies
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Job description

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TL;DR
Engineering Manager (AI): Building and delivering modern cloud-native, AI-first applications for client organizations with an accent on engineering leadership, full-stack development, and Generative AI. Focus on shipping LLM applications, guiding architecture and delivery, developing consultative engineers, and connecting technical outcomes to measurable business value.

Location: Based in Austin, Texas, or Woburn, Massachusetts; travel of 0–30% may be required according to engagement needs.

Company

hirify.global is a technology services and consulting company delivering custom applications, managed services, AI and automation, cybersecurity, networking, cloud, and digital transformation solutions.

What you will do

  • Build, coach, and develop engineers and architects into high-performing, client-facing consultative professionals.
  • Lead end-to-end delivery of client engagements, managing outcomes, risks, escalations, and stakeholder relationships.
  • Guide architecture, solution design, and adoption of cloud-native, DevSecOps, AI, and Generative AI practices.
  • Partner with clients to define problems, shape solutions, and connect engineering decisions to measurable business outcomes.
  • Support pre-sales, solutioning, scoping, statements of work, practice development, and staffing strategy.
  • Manage team capacity, utilization, skills development, certifications, and career progression.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • 7+ years of software engineering experience, including 2+ years in technical leadership or team lead capacity.
  • Hands-on full-stack expertise with technologies such as Java, C#, Python, Node, React, or Angular, plus SQL, Spark, or Databricks.
  • Experience with AWS, Azure, or GCP; microservices, containers, serverless, and infrastructure as code.
  • Hands-on experience building and shipping LLM and GenAI applications involving RAG, agents, orchestration, evaluation, and guardrails.
  • Strong consultative communication, people leadership, conflict management, client workshop facilitation, and Agile delivery experience.

Nice to have

  • Consulting or client-facing delivery experience with distributed or global teams.
  • Data engineering or cross-domain solution delivery experience.
  • Responsible-AI experience covering model risk, data privacy, evaluation, and AI governance.
  • Cloud, Agile, Product Ownership, or Solution Architect certifications.
  • Pre-sales, solutioning, or statement-of-work scoping experience.

Culture & Benefits

  • Work with engineers, architects, clients, and cross-functional stakeholders on high-impact digital transformation projects.
  • Collaborative, feedback-driven environment focused on continuous improvement, accountability, and resilience.
  • Opportunities to contribute to industry forums, conferences, thought leadership, and practice growth.
  • Support from Legal and HR advisory teams for employee immigration paperwork and related compliance needs.
  • Equal opportunity workplace committed to diversity, inclusion, and reasonable accommodations.

Hiring process

  • Applications are accepted on a rolling basis.

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