Anthropic AI Consultant -- Direct Client
Job Title: Anthropic AI Consultant
Location: Remote/SFO, CA
Duration: Contract to Hire
Client: Direct
ABOUT THE ROLE
We are seeking a skilled Anthropic AI Consultant to design and build production-grade AI agents on the Anthropic Claude platform. This contract-to-hire opportunity is ideal for a practitioner who combines deep technical expertise in LLM agent architectures with strong analytical thinking and the communication skills to engage senior stakeholders. Experience in financial services is highly recommended, as a significant portion of engagements will involve regulated use cases requiring domain fluency.
KEY RESPONSIBILITIES
• Design, develop, and deploy AI agents using the Anthropic Claude API, including multi-step reasoning, tool use, and agentic workflow orchestration.
• Translate complex business requirements into robust agent architectures with clear evaluation criteria and fallback behaviors.
• Partner with stakeholders across business, compliance, and engineering teams to define use cases, scope, and success metrics.
• Conduct prompt engineering, system design, and iterative testing to optimize agent performance, reliability, and safety.
• Produce clear technical documentation, architecture diagrams, and executive-level summaries of agent capabilities and limitations.
• Apply financial services domain knowledge to ensure solutions align with regulatory, audit, and risk management expectations.
• Advise on responsible AI practices including guardrails, human-in-the-loop design, and model governance frameworks.
REQUIRED QUALIFICATIONS
• 5+ years of hands-on experience building production AI/ML or LLM-based applications.
• Demonstrated proficiency with the Anthropic Claude API, including tool use, context management, and multi-turn agent design.
• Strong Python skills; experience with agent frameworks such as LangGraph, Autogen, or custom orchestration.
• Exceptional analytical skills — ability to decompose ambiguous problems into structured, testable solutions.
• Strong written and verbal communication skills; comfortable presenting to both technical and executive audiences.
• Demonstrated ability to work independently in a fast-paced, cross-functional environment.
PREFERRED QUALIFICATIONS
• Financial services industry experience: Prior work in banking, asset management, insurance, fintech, or financial operations — particularly in areas such as procurement, accounts payable, compliance, or risk management — is strongly preferred. Familiarity with SOX, regulatory audit requirements, or financial data governance is a significant advantage.
• Experience building agentic systems with memory, planning, and multi-agent coordination patterns.
• Familiarity with RAG pipelines and vector database integration (e.g., Pinecone, Weaviate, pgvector).
• Background in enterprise SaaS or ERP environments (SAP, Oracle) or BPO-adjacent automation.
• Prior consulting or advisory experience delivering recommendations to senior business stakeholders.
• Based in or willing to travel to the San Francisco Bay Area for periodic onsite collaboration.
Apply Now
Apply Now
Location: Remote/SFO, CA
Duration: Contract to Hire
Client: Direct
ABOUT THE ROLE
We are seeking a skilled Anthropic AI Consultant to design and build production-grade AI agents on the Anthropic Claude platform. This contract-to-hire opportunity is ideal for a practitioner who combines deep technical expertise in LLM agent architectures with strong analytical thinking and the communication skills to engage senior stakeholders. Experience in financial services is highly recommended, as a significant portion of engagements will involve regulated use cases requiring domain fluency.
KEY RESPONSIBILITIES
• Design, develop, and deploy AI agents using the Anthropic Claude API, including multi-step reasoning, tool use, and agentic workflow orchestration.
• Translate complex business requirements into robust agent architectures with clear evaluation criteria and fallback behaviors.
• Partner with stakeholders across business, compliance, and engineering teams to define use cases, scope, and success metrics.
• Conduct prompt engineering, system design, and iterative testing to optimize agent performance, reliability, and safety.
• Produce clear technical documentation, architecture diagrams, and executive-level summaries of agent capabilities and limitations.
• Apply financial services domain knowledge to ensure solutions align with regulatory, audit, and risk management expectations.
• Advise on responsible AI practices including guardrails, human-in-the-loop design, and model governance frameworks.
REQUIRED QUALIFICATIONS
• 5+ years of hands-on experience building production AI/ML or LLM-based applications.
• Demonstrated proficiency with the Anthropic Claude API, including tool use, context management, and multi-turn agent design.
• Strong Python skills; experience with agent frameworks such as LangGraph, Autogen, or custom orchestration.
• Exceptional analytical skills — ability to decompose ambiguous problems into structured, testable solutions.
• Strong written and verbal communication skills; comfortable presenting to both technical and executive audiences.
• Demonstrated ability to work independently in a fast-paced, cross-functional environment.
PREFERRED QUALIFICATIONS
• Financial services industry experience: Prior work in banking, asset management, insurance, fintech, or financial operations — particularly in areas such as procurement, accounts payable, compliance, or risk management — is strongly preferred. Familiarity with SOX, regulatory audit requirements, or financial data governance is a significant advantage.
• Experience building agentic systems with memory, planning, and multi-agent coordination patterns.
• Familiarity with RAG pipelines and vector database integration (e.g., Pinecone, Weaviate, pgvector).
• Background in enterprise SaaS or ERP environments (SAP, Oracle) or BPO-adjacent automation.
• Prior consulting or advisory experience delivering recommendations to senior business stakeholders.
• Based in or willing to travel to the San Francisco Bay Area for periodic onsite collaboration.
Apply Now
Apply Now