Objectives of the Role

The Claude Solutions Architect is the technical solutioning lead for EXL client engagements built on the Claude (Anthropic) platform. The role designs RAG pipelines, agentic workflows, and MCP-based integrations using the Claude API and Claude Code, translating client requirements into secure, scalable reference architectures.

Operating within the India AI Center of Excellence and reporting to the Director, the architect partners with delivery, sales, and Anthropic partner teams across insurance, healthcare, and banking engagements. CCA (Claude Certified Architect) certification is required or in progress.

Responsibilities

• Design end-to-end solution architectures on the Claude platform, including RAG pipelines, agentic (single- and multi-agent) workflows, and MCP-based integrations with enterprise systems.

• Act as the technical solutioning lead across client engagements in insurance, healthcare, and banking, owning solution design from discovery through delivery hand-off.

• Define patterns for tool-calling/function-calling, prompt orchestration, guardrails, and evaluation to ensure quality, safety, and policy compliance.

• Lead technical discovery workshops, effort estimation, and solution reviews with client and internal stakeholders.

• Produce reference architectures, solution design artefacts, and reusable accelerators for the Claude CoE.

• Partner with Anthropic teams on solution acceleration, enablement, and certification, and stay current with Claude model and Claude Code capabilities.

• Guide and review the work of GenAI engineers to ensure architectural consistency and delivery quality.

• Establish responsible-AI, security, and privacy controls appropriate to regulated BFSI and healthcare domains.

Must-Have Skills

• 7–9 years of experience in solution architecture, AI/ML, or software engineering, with hands-on GenAI delivery.

Claude & GenAI Architecture

• Hands-on experience designing solutions with the Claude API and Claude Code, including agentic workflows and MCP-based integrations.

• Strong expertise in RAG architectures, embeddings, vector databases, semantic search, and retrieval quality evaluation.

• Experience with orchestration frameworks (e.g., LangChain, LangGraph) and prompt engineering/orchestration at scale.

• CCA (Claude Certified Architect) certification required or in progress.

Delivery & Domain

• Client-facing solutioning experience across one or more of insurance, healthcare, or banking.

• Strong understanding of responsible AI, data privacy, security, and governance in regulated enterprise environments.

• Excellent communication skills—able to translate business needs into technical architecture and articulate trade-offs to senior stakeholders.

Good-to-Have / Preferred

• Cloud architecture experience on AWS and/or Azure, including containerized deployment, CI/CD, and monitoring.

• Experience defining reusable accelerators, playbooks, or reference architectures for a CoE or practice.

• Familiarity with Claude Computer Use and emerging agentic-coding workflows.

• Additional cloud or AI architecture certifications (AWS/Azure/GCP).

Education

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence, Information Systems, or a related discipline (or equivalent practical experience).

Objectives of the Role

The Claude Solutions Architect is the technical solutioning lead for EXL client engagements built on the Claude (Anthropic) platform. The role designs RAG pipelines, agentic workflows, and MCP-based integrations using the Claude API and Claude Code, translating client requirements into secure, scalable reference architectures.

Operating within the India AI Center of Excellence and reporting to the Director, the architect partners with delivery, sales, and Anthropic partner teams across insurance, healthcare, and banking engagements. CCA (Claude Certified Architect) certification is required or in progress.

Responsibilities

• Design end-to-end solution architectures on the Claude platform, including RAG pipelines, agentic (single- and multi-agent) workflows, and MCP-based integrations with enterprise systems.

• Act as the technical solutioning lead across client engagements in insurance, healthcare, and banking, owning solution design from discovery through delivery hand-off.

• Define patterns for tool-calling/function-calling, prompt orchestration, guardrails, and evaluation to ensure quality, safety, and policy compliance.

• Lead technical discovery workshops, effort estimation, and solution reviews with client and internal stakeholders.

• Produce reference architectures, solution design artefacts, and reusable accelerators for the Claude CoE.

• Partner with Anthropic teams on solution acceleration, enablement, and certification, and stay current with Claude model and Claude Code capabilities.

• Guide and review the work of GenAI engineers to ensure architectural consistency and delivery quality.

• Establish responsible-AI, security, and privacy controls appropriate to regulated BFSI and healthcare domains.

Must-Have Skills

• 7–9 years of experience in solution architecture, AI/ML, or software engineering, with hands-on GenAI delivery.

Claude & GenAI Architecture

• Hands-on experience designing solutions with the Claude API and Claude Code, including agentic workflows and MCP-based integrations.

• Strong expertise in RAG architectures, embeddings, vector databases, semantic search, and retrieval quality evaluation.

• Experience with orchestration frameworks (e.g., LangChain, LangGraph) and prompt engineering/orchestration at scale.

• CCA (Claude Certified Architect) certification required or in progress.

Delivery & Domain

• Client-facing solutioning experience across one or more of insurance, healthcare, or banking.

• Strong understanding of responsible AI, data privacy, security, and governance in regulated enterprise environments.

• Excellent communication skills—able to translate business needs into technical architecture and articulate trade-offs to senior stakeholders.

Good-to-Have / Preferred

• Cloud architecture experience on AWS and/or Azure, including containerized deployment, CI/CD, and monitoring.

• Experience defining reusable accelerators, playbooks, or reference architectures for a CoE or practice.

• Familiarity with Claude Computer Use and emerging agentic-coding workflows.

• Additional cloud or AI architecture certifications (AWS/Azure/GCP).

Education

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence, Information Systems, or a related discipline (or equivalent practical experience).