Description:
LN Technologies is a leading enterprise application development firm delivering cutting-edge solutions across AI, Mobility, Web, Cloud, and Business Intelligence. We help commercial enterprises and government organizations transform their operations through innovative, secure, and scalable technology solutions. We are looking for a strategic Product Marketer to drive the go-to-market success of our AI product portfolio.
Key Responsibilities
1. Architecture & Technical Leadership
- Design end-to-end architectures for AI solutions, IoT platforms, mobile apps, data platforms, and cloud-native systems
- Create architecture diagrams, data models, API specifications, and cloud infrastructure plans
- Define security and compliance frameworks for scalable systems
- Evaluate and recommend emerging technologies aligned with R&D objectives
- Establish architecture standards and best practices across projects
2. Project Oversight & Delivery Management
- Serve as technical lead and solution owner for software development projects
- Collaborate with product managers and engineering teams to break down requirements
- Define technical scope and architecture approach
- Estimate effort and guide sprint planning
- Ensure adherence to code quality, security, and DevOps best practices
- Oversee AI model governance and system integration strategies
3. R&D & Innovation Enablement
- Partner with research teams to translate concepts into technical architectures
- Support technical sections of grant proposals and innovation initiatives
- Prototype new ideas using rapid experimentation and POCs
- Evaluate new frameworks, tools, and platforms for innovation programs
- Drive adoption of emerging technologies in product development
4. System Design & Integration
- Architect scalable cloud-native and microservices-based systems
- Design API-first and event-driven architectures
- Define data platform architectures and integration strategies
- Ensure system scalability, reliability, and performance optimization
- Implement secure system integration across platforms
5. Security & Compliance Governance
- Ensure architecture compliance with security standards (HIPAA, NIST, etc.)
- Define secure authentication, authorization, and data protection models
- Implement risk mitigation strategies in system design
- Enforce cloud security and DevSecOps practices
6. Team Management & Leadership
- Manage and oversee the performance of the engineering and architecture team
- Provide technical mentorship and guidance to team members
- Allocate resources and balance workload across projects
- Conduct performance reviews and support team development plans
- Ensure team adherence to architecture standards and delivery timelines
- Foster collaboration across cross-functional teams
7. Stakeholder Collaboration
- Collaborate with clients, government partners, universities, and internal teams
- Present technical architectures to non-technical stakeholders
- Validate solution feasibility and scalability with cross-functional teams
- Provide technical guidance to engineering and product teams
8. Technical Documentation & Knowledge Sharing
- Document architecture designs and technical decisions
- Prepare architecture guidelines and reusable frameworks
- Conduct knowledge-sharing sessions with engineering teams
- Maintain architecture standards and governance documentation
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
- 7+ years of experience in software architecture or senior engineering roles
- Hands-on experience with cloud platforms (Azure, AWS, or GCP)
- Experience with AI/ML frameworks (TensorFlow, PyTorch, Azure ML, SageMaker)
- Experience with IoT ecosystems and edge computing
- Strong knowledge of API and microservices architecture
- Experience with mobile applications and data platforms
- Experience leading software development teams
- Strong understanding of scalability, security, and system integration patterns
Preferred Qualifications
- Experience with healthcare systems and HIPAA/FDA compliance
- Experience architecting AI systems for real-time data or predictive analytics
- Experience working in R&D or innovation environments
- Relevant certifications (AWS Solutions Architect, Azure Solutions Architect, TOGAF, PMP, etc.)