Lead Forward Deployed Engineer (FDE)
New
Remote (U.S.)Full-TimeLead
Salary not disclosed
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Job Details
- Experience
- 7+ years
- Required Skills
- Artificial IntelligenceCloud ComputingMachine LearningSoftware ArchitectureCI/CDDevOpsMicroservicesGenerative AI
Requirements
- Bachelor's degree in Computer Science, Software Engineering, Data Science, or equivalent experience.
- 7+ years of experience in software engineering, AI engineering, machine learning, data engineering, or solution architecture.
- Demonstrated experience leading engineering teams delivering enterprise software solutions.
- Experience designing, building, and deploying AI/ML or Generative AI solutions in production environments.
- Experience architecting distributed systems, APIs, microservices, cloud-native applications, or enterprise integrations.
- Strong experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
- Experience leading technical workstreams and translating business objectives into scalable technology solutions.
- Experience implementing CI/CD pipelines, DevOps practices, automated testing, and production monitoring.
- Excellent communication, leadership, consulting, and stakeholder management skills.
- Proven ability to lead engineering teams in agile environments while remaining hands-on technically.
- Ability to travel as required by project needs.
Responsibilities
- Serve as the primary technical advisor for customer engagements, building trusted relationships with executive leadership and technical stakeholders.
- Translate business priorities into scalable AI-enabled software solutions and technical roadmaps.
- Lead cross-functional engineering teams responsible for delivering enterprise AI and software solutions.
- Architect and oversee the development of AI-enabled applications, intelligent automation, and modern software platforms.
- Establish engineering standards, development practices, quality metrics, and delivery processes across engagements.
- Lead technical discovery sessions, solution workshops, and architecture discussions to define customer objectives.
- Coordinate cross-functional and geographically distributed engineering teams, including hybrid onshore/offshore models.
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