Lead Software Engineer - AI/ML Platforms

Onsite/ Hybrid/ Remote: Hybrid (4 days onsite per week, no flexibility) Duration: 17 Months Rate Range: Upto $103.50/hr on W2 Work Authorization: GC, USC, All valid EADs except OPT, CPT, H1B Must Have Backend programming (Java, Python, C++, or Go) Frontend frameworks (React, Streamlit, or similar) SQL and database querying Cloud-based application architecture AI/ML tooling and infrastructure (MLOps) CI/CD pipelines and automated build, test, deployment AI coding tools (Cursor, Claude or similar) Responsibilities Define and oversee technical architecture for new production and innovation tools during proof-of-concept, prototype, and pilot phases. Design scalable cloud-based solutions and document technical specifications, architecture diagrams, and integration points. Collaborate with internal engineering teams and external vendors to deliver technology solutions aligned with security and system standards. Evaluate technologies and select appropriate tools based on use cases and user requirements. Maintain technology roadmaps supporting the evolution of solutions through innovation cycles. Conduct code reviews, propose alternate implementations, and troubleshoot technical issues. Lead architecture discussions and guide engineering teams on system design and implementation. Build and maintain CI/CD pipelines for automated build, testing, and deployment. Qualifications Bachelor's degree in Computer Science or related field. 8+ years of experience in software engineering or technical architecture roles. Experience designing and implementing cloud-native applications. Hands-on experience with backend development and modern frontend frameworks. Experience deploying and productizing applications. Experience with AI/ML tooling and infrastructure. Strong experience with CI/CD pipelines and automated deployment processes. Experience working in Agile environments (Scrum or Kanban). Nice to Have Unity or Unreal development experience AR/VR technologies Media technology or digital production workflows Advanced degree in Computer Science Experience with AI/ML model development or integration Industry publications or conference contributions J-18808-Ljbffr