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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead AI and Data Science Engineer II - **Company:** Deloitte T.T.L. - **Location:** United States - **Experience:** Expert - **Salary:** $141,200.0 - $278,300.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Python (Programming Language), Machine Learning, Google Cloud, Cloud Platform System, Multi-Agent Systems, Generative AI, Information Technology, Data Analytics, Data Management, Machine Learning Operations, Virtual Agents - **Published:** August 28, 2026 - **Apply:** https://apply.deloitte.com/en_US/careers/Login?jobId=363972 ## About the Role * 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 workstreams * 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, * 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 through the native Anthropic API or a supported cloud platform * At least 1 year of experience applying prompt engineering, context engineering, structured outputs, and related techniques to improve the performance, reliability, and usability of AI solutions * 2+ years of experience leading, managing, and delivering complex AI solution engagements * Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or a related field * Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve * Limited immigration sponsorship may be available Preferred: * Experience in consulting or other client-facing delivery roles * Experience using Claude Cowork to support enterprise workflows, automation, research, or other knowledge-work use cases * Hands-on experience using Claude through one or more of the following: Azure AI Foundry, Amazon Bedrock, Google Vertex AI, or the native Anthropic API * Experience with multi-agent systems, MCP integrations, agent evaluation, observability, safety controls, or production governance * Certifications such as Claude Certified Architect - Professional (CCAR-P), Claude Certified Architect - Foundations (CCAR-F), or Claude Certified Developer - Foundations (CCDV-F) * Cloud certification(s) - AWS, Azure, or Google Cloud * Experience creating client workshop collateral and leading interactive working sessions * Experience presenting technical content to both large and small audiences ## Description 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 09/30/2026. 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 workstreams 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 ## Related Videos - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Every CEO needs a digital twin to understand the scope of generative AI](https://www.wearedevelopers.com/videos/1006-every-ceo-needs-a-digital-twin-to-understand-the-scope-of-generative-ai) - [Cloud Run- the rise of serverless and containerization](https://www.wearedevelopers.com/videos/106-cloud-run-the-rise-of-serverless-and-containerization) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? 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