Lead Architect with Anthropic Experience

Lead Architect with Agentic AI Experience, AI & Engineering/Engineering as a Service Agentic AI is moving from experimentation to production, and organizations everywhere are racing to figure out how to build it responsibly and at scale. We're growing a team of engineers who want to work at the center of that shift: designing and building autonomous, multi-agent systems powered by Anthropic's Claude models for some of the world's largest organizations. Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You’ll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requir [... source excerpt omitted ...] sible for designing, building, and developing enterprise-grade Anthropic applications and platforms, selecting technologies and ensuring solutions are robust, scalable and secure. You will: Integrate and fine-tune Large Language Models (LLMs) and other AI/ML models into enterprise applications. Develop and implement strategies for model deployment, inference and monitoring, with an emphasis on production level performance and reliability Collaborate with enterprise architects to ensure AI solutions align with the broader company’s technical strategy, governance and standards Design and deploy applications using Cloud Native principles on a hyperscaler platform (AWS, Azure, GCP [... source excerpt omitted ...] teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models—traditional teams, pools, or pods—are tailored to each client’s needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation. Qualifications Required: 8 or more years experience as a Solution or Application Architect with a strong focus on application development 8+ years of hand-on experience in Java, .NET or Python Hyperscaler architect certifications – AWS Certified Solution Architect, Azure Solution Architect, or GCP Professional Cloud Architect 6+ years of experience designing, developing and d