Enterprise Architect

Enterprise Architect – Overview\n\nDesign and implement enterprise architecture strategies and operating models, articulate a compelling vision and target state, and craft a transformation roadmap that aligns technology initiatives with business objectives.\n\nKey Responsibilities\n\n- Lead the design and delivery of AI‑driven solutions using Generative and Agentic AI frameworks to address complex business challenges.\n- Automate processes and embed intelligent insights into enterprise workflows to drive measurable business impact.\n- Architect scalable, secure application‑heavy solutions across multi‑cloud environments (AWS, Azure, Google Cloud).\n- Guide full‑stack development, ensuring alignment with business goals and best engineering practices.\n- Design seamless integrations between systems, services, and third‑party APIs using microservices and event‑driven architectures.\n- Implement multi‑cloud strategies for portability, scalability, cost optimization, and resilience.\n- Lead technology direction on .NET, Python, and modern front‑end frameworks such as React or Angular.\n- Integrate Generative and Agentic AI capabilities into enterprise applications.\n- Collaborate with infrastructure teams to design cloud‑native solutions, including Docker, Kubernetes, CI/CD pipelines, and Infrastructure as Code (Terraform, Bicep).\n- Ensure solutions meet performance, scalability, and security standards.\n- Partner with product managers, developers, DevOps, and business stakeholders to translate requirements into technical solutions.\n- Stay informed about emerging technologies, AI advancements, cloud trends, and full‑stack best practices to drive continuous improvement.\n\nQualifications\n\n- 12–20+ years in enterprise architecture, with 3–5 years in a full‑stack architect role focused on application‑heavy solutions.\n- Proven experience in designing and deploying solutions in multi‑cloud environments.\n- Hands‑on expertise with .NET Core, ASP.NET, and Python for backend development.\n- Experience with front‑end technologies such as React, Angular, or equivalent frameworks.\n- Strong understanding of AI concepts and their application in enterprise systems.\n- Expertise in integration patterns (REST, Azure Integration Services, GraphQL, Kafka, message queues) and microservices architecture.\n- Experience with big data technologies and data integration pipelines.\n- Knowledge of containerization (Docker, Kubernetes), serverless computing, and Infrastructure as Code tools.\n- Understanding of DevOps practices, including CI/CD, monitoring, and logging tools.\n- Knowledge of enterprise security practices, including IAM, encryption, and compliance standards.\n\nSkills\n\n- Must‑have: Proficiency in .NET Architecture.\n- Good‑to‑have: Experience with Business Architecture.\n- Proficiency in software development lifecycle methodologies.\n- Experience with cloud computing platforms and services.\n- Proficient in designing scalable and secure applications.\n\nSoft Skills\n\n- Excellent problem‑solving and analytical skills.\n- Strong communication and leadership skills for guiding cross‑functional teams.\n- Ability to translate complex technical concepts into business‑friendly language.\n- Proactive and innovative mindset focused on delivering scalable solutions.\n\nEducation\n\n- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.\n- Relevant certifications such as Azure Solutions Architect Expert, Azure AI Fundamentals, TOGAF, DevOps Engineer Expert, or similar are an advantage.\n\nEqual Employment Opportunity Statement\n\nAll employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.\n\n#J-18808-Ljbffr