About the role
Project Role: Forward Deployed Engineer
Organize the deployment of AI workflows and architectures across diverse AI and technology platforms. Facilitate solution design across enterprise technology stack to integrate into the ecosystem of AI models and multi provider platforms.
Summary:
The Architect will focus on multiple areas and provide architectural direction and leadership to the engineering teams. They will work to influence and build a vision with product managers, team members, and other engineering teams to solve complex problems. The role involves leading design sessions and conducting code reviews to elevate the quality of engineering across the organization. Additionally, the Architect will mentor team members to help them achieve success in their goals and contribute effectively to projects.
Roles & Responsibilities:
- Collaborate with cross-functional teams to prepare technical design specifications based on product management and architectural initiatives
- Drive Architectural Governance activities
- Seek platform convergence
- Plan across engineering initiatives and new feature delivery to find a balance between customer delivery and organizational health
- Identify opportunities for improvement in applications and provide actionable recommendations to the teams
- Assist and mentor development staff in the delivery of product features
- Help build successful teams with a learning culture by providing direction and fostering communication
- Assist teams with technical conversations, driving towards action and successful outcomes
- Build strong relationships with team and stakeholders
- Communicate clearly with executive leadership, peers, and development teams
Requirements
- Minimum 3 years of experience in .Net Full Stack Development (must have)
- 15 years full time education required
- Significant experience in design (architecture, design patterns, reliability, and scaling) and implementation or enhancement of new and current systems
- Fluency and specialization with modern languages such as Java, C# or Python
- Experience in building products using microservices architectural patterns and extensible REST APIs
- Familiarity with continuous delivery and infrastructure as code
- Proven experience in cloud, DevOps, or AI modernization initiatives
- Strong understanding of LLMs, automation, and engineering toolchains
- Ability to translate AI innovation into business and productivity impact
- Experience with AWS and Azure; background in multi-cloud environments preferred
- Understanding of security architecture, protocols, and products including Active Directory, Windows Authentication, SAML, OAuth
- Bachelor's OR Master's Degree in Software Engineering, Computer Science, Information Systems, or related field