Engineering Technical Transformation Senior Consultant with AI Anthropic Experience

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 an Engineering [... source excerpt omitted ...] he Engineering as a Service team, you will be responsible for driving technology-focused client delivery across complex engagements. You will: Manage day-to-day interactions with client stakeholders and sponsors, acting as the primary technical point of contact for your workstream Lead end-to-end IT transformation projects for major consulting clients, focusing on innovation, technology resiliency and operational excellence Collaborate with cross-functional engineering and development teams to design, onboard, and optimize DevOps toolchains (e.g. GitLab, Artifactory, SonarQube), while driving measurable improvements in the technology stack Manage project execution with an I [... source excerpt omitted ...] alignment with enterprise change management controls and business priorities Design and build Generative AI and agentic solutions using Claude Lead small teams through business requirements gathering, functional design, process mapping, and support-model definition, providing technical direction throughout Develop and maintain project scope, schedule, and resource plans for your workstream, and adjust them as engagement needs evolve Manage changes to scope, schedule, and cost in line with the engagement's change management process Identify risks, assumptions, and constraints early, and implement approved mitigations to protect delivery Maintain clear, consistent communication