Agentic AI Engineer, Lead - Anthropic/Claude
Listed on 2026-09-03
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Lead AI and Data Science Engineer II
Agentic AI is moving from experimentation to production, and organizations everywhere are racing to figure out how to build it responsibly and '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.
Work you'll do
As a Lead AI and Data Science Engineer II on the AI & Data team, you will be responsible for leading the design and delivery of AI solutions for client engagements.
Lead small engagements or key work streams within larger technology transformation programs
Own the design and architecture of Claude-based Generative AI and agentic solutions, including RAG pipelines, embeddings and vector databases, orchestration frameworks, memory/state patterns, and tool-use architectures, leveraging the Claude Agent SDK and Claude Cowork
Design and implement cloud and hybrid data architectures, migration approaches, and technology solutions that support Claude/Anthropic deployments
Build and govern LLMOps practices, including evaluation frameworks, monitoring, prompt lifecycle management, and guardrails for production Claude deployments
Manage day-to-day stakeholder relationships, aligning technical delivery with business and program objectives
Oversee the quality of team deliverables and recommendations, contributing hands-on to solution delivery when needed
Support practice growth through proposal development, thought leadership, and go-to-market content related to agentic AI
Coach and upskill practitioners transitioning onto Generative AI and Claude-focused work
You'll be deployed onto client engagements that typically involve one or more of the following:
Leading the architecture and delivery of enterprise-scale agentic AI platforms powered by Claude, from design through production operation
Owning technical direction for multi-agent systems spanning orchestration, tool integration, memory/state management, and governance guardrails
Leading modernization of AI/ML or data platforms to incorporate Generative AI capabilities such as RAG pipelines and agent-based orchestration
Advising client executives on Generative AI strategy, responsible AI practices, and model/platform selection
Managing cross-functional delivery teams and client relationships across the engagement lifecycle, while contributing to proposal and business development efforts
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 detail and quality of work product
Ability to build and sustain professional relationships
Ability to lead projects or work streams
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
Strong interpersonal skills and professional demeanor
Ability to mentor and provide clear guidance to others
Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.
Qualifications
Required:
6+ years of experience designing, developing, and delivering production AI/ML solutions, including at least 1 year delivering production Generative AI or Agentic AI systems
3+ years of hands-on experience developing AI/ML applications in Python
At least 1 year of direct experience designing or implementing production agentic workflows involving capabilities such as orchestration, tool integration, state management, evaluation, guardrails, and human-in-the-loop controls
At least 1 year of hands-on experience developing agentic AI solutions using the Claude Agent SDK, including agent orchestration, tool integration, permissions, or MCP integrations
At least 1 year of hands-on experience developing and deploying production solutions using Anthropic Claude models…
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