14 days ago
Responsibilities
- Translate business needs into scalable, secure, maintainable solution architectures.
- Design end-to-end technical solutions aligned with enterprise architecture standards and long-term platform strategy.
- Design AI-enabled workflows, LLM, RAG, and AI-agent solutions where appropriate.
- Create solution diagrams, integration designs, API specifications, data flows, and technical documentation.
- Evaluate technology options, architecture patterns, and third-party solutions based on scalability, security, maintainability, cost, and business value.
- Design cloud-native, API-first, event-driven, and integration solutions.
- Collaborate with engineering teams throughout the software development lifecycle to ensure implementations follow architectural designs and best practices.
- Participate in architecture reviews, identify technical risks, recommend mitigations, and support security and governance compliance.
- Contribute to platform modernization, reusable architecture patterns, and continuous improvement initiatives.
- Provide technical leadership, coaching, and mentorship to development teams.
- Review application architecture and source code for engineering quality, security, maintainability, performance, and scalability.
- Design data platforms, pipelines, streaming architectures, data lakes, warehouses, and governance frameworks.
- Incorporate security-by-design, identity and access management, encryption, secrets management, network security, vulnerability management, and zero-trust practices.
- Apply monitoring, logging, tracing, performance engineering, resilience, disaster recovery, and operational excellence practices.
Requirements
- Bachelor's degree in Computer Science or a related field.
- 8+ years of professional software engineering experience.
- Proven track record delivering production systems.
- Experience leading technical initiatives across teams.
- Strong knowledge of AI/ML, Generative AI, LLMs, embeddings, vector databases, RAG, prompt engineering, AI orchestration, model evaluation, and AI governance.
- Hands-on experience designing, building, and integrating AI-powered workflows, autonomous agents, and intelligent automation solutions.
- Experience with enterprise AI platforms and frameworks such as Azure OpenAI, Amazon Bedrock, OpenAI, Anthropic Claude, Google Vertex AI, LangChain, LangGraph, CrewAI, Semantic Kernel, or AutoGen.
- Expertise designing scalable, secure, resilient, and highly available distributed systems and modern application architectures.
- Experience designing RESTful APIs, GraphQL, asynchronous messaging, event-driven integrations, and enterprise integration patterns.
- Experience designing and implementing cloud-native, serverless, containerized, hybrid-cloud, and cloud-agnostic solutions.
- Experience with Docker, Kubernetes, OpenShift, Amazon ECS, Amazon EKS, and Azure AKS or equivalent orchestration platforms.
- Understanding of DevSecOps, infrastructure as code, automated testing, continuous integration, continuous delivery, release automation, feature management, observability, and deployment strategies.
- Experience packaging applications and services for reliable, repeatable, automated deployment across environments.
- Experience designing modern data platforms, data pipelines, streaming architectures, data lakes, warehouses, and governance frameworks.
- Understanding of frontend, backend, APIs, databases, messaging, cloud infrastructure, and deployment pipelines for complete end-to-end solutions.
- Strong understanding of responsible AI, AI security, privacy, governance, regulatory compliance, ethical AI, and model lifecycle management.
- Ability to communicate complex technical and business concepts clearly to technical, non-technical, and executive audiences.
- Ability to influence stakeholders without direct authority, evaluate tradeoffs, build consensus, and balance short-term priorities with long-term sustainability.
- Ability to coach and mentor engineers and peers.
- Preferred qualifications include a relevant master's degree, experience in high-scale cloud environments, and prior impact as a Staff-level engineer.
- Preferred certifications include a cloud provider professional certification or a security certification such as CSSLP.
Benefits
- Hybrid work arrangement in Sterling, VA, or Nashville, TN.
Tech Stack
Categories
About Asurion
As the world’s leading tech care company, Asurion eliminates the fears and frustrations associated with technology, to ensure our 300 million customers get the most out of their devices, appliances and connections. We provide insurance, repair, replacement, installation and 24/7 support for everything from cellphones to laptops and household appliances. Our experts are available online, on the phone, at one of our more than 800 stores, or can even come to you.