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
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 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
The team
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 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
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $141,200 to $278,300.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
