2 months ago
Engineering Manager (AI)
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Job description
Text:
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
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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