What are the responsibilities and job description for the Engineering & Architecture Lead position at TriCom Technical Services?
Summary
Our client is seeking a hands-on Engineering & Architecture Lead to drive the design, development, and delivery of next-generation AI-powered insurance solutions. This role is ideal for a technology leader equally comfortable defining enterprise architecture strategy, building scalable systems, and driving engineering excellence across platforms. The Engineering & Architecture Lead will set the engineering standards, design Cloud-native architectures, and provide hands-on guidance to engineering teams across web, data, AI, and application domains.
Responsibilities
Our client is seeking a hands-on Engineering & Architecture Lead to drive the design, development, and delivery of next-generation AI-powered insurance solutions. This role is ideal for a technology leader equally comfortable defining enterprise architecture strategy, building scalable systems, and driving engineering excellence across platforms. The Engineering & Architecture Lead will set the engineering standards, design Cloud-native architectures, and provide hands-on guidance to engineering teams across web, data, AI, and application domains.
Responsibilities
- Define and maintain enterprise architecture standards and reference architectures.
- Govern solution design reviews to ensure scalability, security, and maintainability.
- Lead and mentor the Engineering Team to deliver high-quality, resilient solutions.
- Drive engineering best practices including DevOps, CI/CD, Cloud-native development, test automation, and AI enablement.
- Lead by example; designing, developing, and reviewing performant, secure code using modern tech stacks.
- Bachelor's degree in Computer Science, Engineering, or related field.
- 10 years of Software Engineering experience with 5 years in architectural leadership.
- Hands-on experience as a Technical Architect with deep expertise in building business systems and platforms.
- Experience designing, building, and productionizing systems (not just POC or R&D work).
- Ability to mentor and guide mid-level to senior engineers through technical reviews.
- Master's degree in Computer Science, Engineering, or related field.
- Background in Insurtech, FinTech, or regulated financial services.
- Experience delivering scalable direct-to-consumer insurance platforms and AI-driven personalization systems.
- Expertise in Cloud platforms (AWS/Azure), container orchestration, microservices, APIs, and serverless architectures.
- Practical experience with AI/ML pipelines, data engineering, and MLOps frameworks.
- Certifications including TOGAF, AWS Certified Architect, Azure Solutions Architect, or AI/ML Specializations.