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 requirements.

Recruiting for this role ends on 11/1/2026.

Work you'll do

As a Lead Architect with Anthropic experience, AI & Engineering on the Engineering as a Service team, you will be responsible 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).

Leverage a wide range of hyperscaler tools and services including containers (Docker, Kubernetes), serverless functions, and managed databases.


* Ensure the security of all AI/ML systems by addressing potential vulnerabilities such as data privacy concerns, model poisoning, and adversarial attacks


* Apply and enforce application design patterns and agentic design patterns to build resilient and maintainable software systems


* workflows, and automation solutions.

A successful candidate would possess these skills:


* Ability to work independently and collaborate as part of a team


* Effective written and verbal communication skills


* Meticulous attention to detai...