Overview
At FedTec Reply, we are hiring an Innovation Lab leader to join our team. In this role you will be working on building innovative enablers and accelerators for our federal clients.
Full job description
At FedTec Reply, we are hiring an Innovation Lab leader to join our team. In this role you will be working on building innovative enablers and accelerators for our federal clients. Our ideal candidate is an inspiring technology leader who is a self-starter, always learning, proactive, and with strong written and verbal communication skills.
Define and lead the vision, roadmap, and delivery standards for FedTec's SaaS and AI-native innovation center, spanning AI transformation, service management, and cybersecurity offerings.
Design, build, and maintain reusable enablers, accelerators, and reference architectures that reduce cost and time-to-value on federal client engagements.
Recruit, mentor, and manage a multidisciplinary team of engineers, architects, and consultants, building a culture of innovation and continuous learning.
Partner with business development and capture teams to shape technical solutions, proposals, and win strategies for federal opportunities.
Cultivate strategic partnerships with cloud, SaaS, and AI technology vendors to bring emerging capabilities into FedTec's federal offerings.
Serve as a trusted technical advisor to the firm’s technology leaders, translating mission needs into scalable, secure, AI-enabled solutions.
10+ years experience in technology consulting, solution architecture, or IT capability/practice leadership.
4 years experience building and leading multidisciplinary engineering or consulting teams.
Demonstrated experience architecting and delivering SaaS-based or AI-native solutions for enterprise or government clients.
Working knowledge of federal cybersecurity and compliance frameworks (e.g., NIST RMF, FedRAMP, Zero Trust).
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field from a premier STEM institution.
Master's degree in Computer Science, Business Administration, or a related technical field from a premier STEM institution.
Experience with hyperscaler cloud platforms (AWS, Azure, Google Cloud) and modern DevSecOps practices.
Familiarity with agentic AI, large language models, and AI/ML platform engineering.
Industry certifications such as AWS or Azure Solutions Architect, ITIL, or CISSP.
Track record of standing up new practice areas or capability centers from the ground up.
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