AI Architect (1272)

22 days ago

Berkeley Heights, NJ, USASenior

Base Salary

$131k - $205k/yr

Responsibilities

Architect end-to-end multi-agent systems using the Claude Code SDK, Anthropic API, and Model Context Protocol.
Design agent workflows for pharmaceutical data ingestion, transformation, validation, analytics, CRM synchronization, and commercial operations.
Build Claude Code plugins, skill packs, MCP servers, custom tool integrations, and agentic ETL and data-quality pipelines.
Develop agent evaluation frameworks and improve performance, reliability, observability, and error handling.
Integrate agents with AWS, Azure, GCP, Snowflake, Databricks, Redshift, CRM systems, and pharmaceutical data sources.
Drive the architecture of a modular, scalable AI-native commercial data platform with embedded governance, compliance, and security.
Define Claude Code development standards, lead architectural reviews, plan technical roadmaps, and mentor engineers.
Participate in client discussions, RFP responses, solution design, proof-of-concept development, and tailored agent deployments.

8+ years of software engineering experience with strong proficiency in Python and/or TypeScript/JavaScript.
Deep hands-on expertise with Claude Code CLI, including slash commands, hooks, settings, and IDE integrations.
Experience building agents with the Anthropic Claude Agent SDK and Anthropic API, including tool use, multi-turn interactions, and computer use.
Strong understanding of Model Context Protocol, including consuming and building MCP servers.
Proficiency in prompt engineering, system prompts, few-shot examples, chain-of-thought, XML-structured outputs, and agent personas.
Experience with production-grade agentic or LLM-powered applications, robust error handling, retries, and observability.
Experience with cloud platforms, with Azure and Databricks identified as must-have skills.
Strong data-engineering background covering ETL/ELT pipelines, data modeling, SQL, and data warehouses.
Experience with REST APIs, GraphQL, enterprise integrations, containerization, and orchestration.
4+ years of pharmaceutical commercial operations, life sciences data, or healthcare analytics experience preferred.
Familiarity with pharmaceutical commercial datasets, CRM and field-force processes, compliance requirements, and specialty therapy areas preferred.
Experience building commercial pharma analytics products such as dashboards, KPI engines, field reporting, or call-plan optimization preferred.

Structured training through Axtria Institute and a customized career progression plan.
Collaborative global work environment with opportunities to work across engineering, data science, product, and client success teams.
The primary work location is Berkeley Heights, New Jersey; compensation may vary by geographic location.

1,001-5,000 employees