Agentic AI Engineer, Senior - Anthropic/Claude
for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. Must not repeat job title. Must not include Job ID etc. Must preserve all substantive info. Remove boilerplate: cookie/navigation/legal/EEO/equal-opportunity/scam-warning, duplicated lines, application instructions. Also remove recruiting end date? That's metadata maybe minor; could fold into short p or drop. Probably we can include a short p for "Recruiting for this role ends on 09/30/2026." but it's minor metadata; we can fold into a short p. The instruction: do NOT put Job ID/requisition numbers as headings — fold minor metadata into a short
or drop it. So we can include a p with that line. We need sections: About the role (intro paragraph). Responsibilities (list of duties). Requirements (maybe qualifications?). Skills (list of skills). Benefits? The posting mentions wage range and discretionary annual incentive program. That's Pay and Benefits? It mentions wage range and incentive program. So we can have Pay section with wage range and incentive. Benefits? Not explicit benefits besides maybe incentive. Could include Benefits section if there is mention of benefits like discretionary annual incentive program? That's more compensation. Could treat as Pay. Benefits maybe not present. Schedule? Not present. So we may omit Schedule and Benefits if not specific. However we need to include Pay section because wage range given. Also maybe include a short p for recruiting end date. We must not create sections with filler like "commensurate with experience". We have actual wage range. We need to use
- for any list of duties/requirements/benefits. Use
for prose. We must preserve ALL substantive information; do not invent or summarize away detail. So we need to include all responsibilities bullet points, qualifications required, preferred, skills list, etc. Let's parse the posting. Intro paragraph: "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." Then "Recruiting for this role ends on 09/30/2026." (metadata) Then "Work you'll do As an AI and Data Science Engineer III on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements." Then list of responsibilities bullet points (starting with Manage day-to-day interactions...). We'll capture each bullet. Then "You'll be deployed onto client engagements that typically involve one or more of the following:" then list. Then "A successful candidate would possess these skills:" then list of skills (Ability to work independently..., etc.) Then "The team Our AI & Data practice offers comprehensive solutions..." (maybe part of About the team? Could be included in About the role or separate section? Not required heading but we could include as part of About the role.) Then "Qualifications Required:" list. Then "Preferred:" list. Then wage range paragraph. We need sections: About the role (intro). Responsibilities (the work you'll do bullet list plus maybe the deployed onto client engagements list? That could also be responsibilities). Could combine. Requirements: maybe combine Qualifications Required and Preferred? But we have separate headings: Requirements and Qualifications. The instruction says use headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we need to decide what goes where. Typically: Responsibilities = duties. Requirements = maybe mandatory qualifications. Qualifications = maybe education/experience? But we have both Required and Preferred. Could put Required under Requirements, Preferred under Qualifications? Or combine. But we need to follow instruction: include a section ONLY when posting has real specific content for it. So we can have both Requirements and Qualifications if we have content. We have Required qualifications list (specific). We have Preferred qualifications list (specific). So we can put Required under Requirements, Preferred under Qualifications. Skills section: the list of skills under "A successful candidate would possess these skills:" (soft skills). So Skills section. Pay section: wage range and discretionary annual incentive program. Benefits: maybe not present; we could omit. Schedule: not present; omit. About the role: include introductory paragraphs plus maybe the team description? Could include the "The team Our AI & Data practice offers comprehensive solutions..." as part of About the role. We must not repeat job title as heading. So no heading for "AI and Data Science Engineer III". Good. We must not include Job ID/requisition numbers; none present. We must remove boilerplate: cookie/navigation/legal/EEO/equal-opportunity/scam-warning, duplicated lines, application instructions. None seen. We must preserve ALL substantive information; do not invent or summarize away detail. So we need to include all bullet points exactly as given (maybe rephrase? Must preserve meaning, not summarizing away detail. We can keep the bullet points as is, maybe slight editing for clarity but must not lose detail. Safer to copy the sentences. We need to output only HTML fragment, no /, no markdown fences. Let's craft. Structure:
About the role
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.
Responsibilities
- Manage day-to-day interactions with client stakeholders and sponsors, acting as the primary technical point of contact for your workstream
- Design and build Generative AI and agentic solutions using Claude, including agent orchestration, tool integration, and Model Context Protocol (MCP) based integrations, using the Claude Agent SDK and Claude Cowork
- Manage and deliver components of client engagements spanning solution design, prototyping, testing, and production rollout
- 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
- Monitor progress against plan, identify variances, and drive corrective action before issues affect delivery
- 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 with client stakeholders and internal engagement leadership
- You'll be deployed onto client engagements that typically involve one or more of the following:
- Designing and building agentic AI solutions powered by Claude, from proof-of-concept through production deployment
- Implementing multi-agent systems that automate business processes, integrate with enterprise tools, and operate within defined autonomy and guardrails
- Modernizing existing AI/ML or data platforms to incorporate Generative AI capabilities, including retrieval-augmented generation and agent-based orchestration
- Advising clients on Generative AI adoption strategy, responsible AI practices, and model/platform selection
- Partnering directly with client technology, data, and business stakeholders to scope and deliver AI solutions
- for any list of duties/requirements/benefits. So we can have separate ul for the deployed list. We'll keep responsibilities as a ul, then another ul for deployed tasks.
Simplify: Responsibilities ul includes first 10 items (manage day-to-day... to maintain clear communication). Then after that, we add a
"You'll be deployed onto client engagements that typically involve one or more of the following:" then a ul. But we must not lose the sentence "You'll be deployed onto client engagements that typically involve one or more of the following:" as prose. So we can put that as a
then ul. Proceed.
Requirements
- 4+ years of experience designing, developing, and delivering production AI/ML solutions, including at least 1 year delivering production Generative AI or Agentic AI systems
- 2+ 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
- 1+ years of experience leading project workstreams or engagements, translating business problems into AI solutions, and delivering measurable outcomes
- 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
Qualifications
- 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