AI Solutions Architect
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Role details
Tech stack
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Job description
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Design and develop AI-powered agentic solutions leveraging leading LLM platforms including OpenAI, Gemini, Claude, and Writer.
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Build a scalable AI orchestration layer utilizing n8n, LangChain, and LangGraph.
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Develop autonomous and multi-agent workflows to support digital marketing campaign creation and optimization.
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Integrate enterprise APIs, data sources, MCP services, and third-party platforms into AI-driven workflows.
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Collaborate with business stakeholders, marketers, and technical teams to translate marketing use cases into AI-enabled solutions.
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Create systems that generate marketing assets including email campaigns, social media content, digital advertisements, and campaign recommendations.
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Develop and optimize Python-based services, automation pipelines, and machine learning workflows.
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Implement best practices around AI governance, observability, prompt engineering, and model performance.
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Analyze marketing and customer data to generate actionable insights that can be consumed by AI agents and downstream marketing teams.
Requirements
Must Have Skills
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5+ years of software engineering, AI engineering, or machine learning experience.
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Proven experience building agentic AI solutions and autonomous AI workflows in production environments.
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Hands-on experience with:
o OpenAI
o Google Gemini
o Anthropic Claude
o Writer AI
- Expert-level experience with:
o Python
o LangChain
o LangGraph
o n8n
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Strong data science and machine learning background.
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Experience integrating APIs, data services, and external systems into AI workflows.
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Understanding of prompt engineering, RAG architectures, vector databases, and AI agent frameworks.
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Experience deploying scalable cloud-based AI applications. * Pharmaceutical, healthcare, or regulated industry experience.
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Experience supporting digital marketing organizations.
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Knowledge of marketing automation platforms.
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Experience with customer engagement platforms, CRM systems, and campaign management tools.
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Familiarity with MCP (Model Context Protocol) implementations and AI orchestration standards.
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Experience building multi-agent systems and AI copilots.
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Prepare application
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