AI Solutions Architect
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Role details
Tech stack
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Job description
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GenAI & Agentic Solution Architecture * These tasks reflect the core responsibility of the role in designing enterprise-grade AI solutions. * Designs and builds GenAI applications, AI agents, agentic workflows, and multi-agent solutions. * Architects solutions using LLMs, RAG, embeddings, vector search, prompt engineering, and tool/function calling. * Leverages Databricks AI capabilities, including AI Functions, AI Search/Vector Search, Model Serving, and MLflow.
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Unstructured Data & Document Intelligence * These tasks support the processing of documents and unstructured content. * Designs pipelines for PDF/document extraction, OCR, image processing, classification, and summarization. * Develops in Python and integrates AI solutions with enterprise systems through APIs, using frameworks such as LangChain, LangGraph, or equivalent.
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AI Quality, Safety & Observability * These tasks ensure AI solutions are accurate, safe, and reliable in production. * Defines AI evaluation frameworks, guardrails, and hallucination testing. * Designs human-in-the-loop workflows and implements AI observability.
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Partner Review & Technical Governance * These tasks ensure partner and vendor AI work meets enterprise standards. * Reviews partner AI solution designs, agent workflows, and code quality. * Assesses and guides performance and cost optimization of AI solutions.
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Production Delivery & Collaboration * These tasks reflect delivery and collaboration with client and internal teams. * Leads production deployment of enterprise AI applications using AI-assisted/spec-driven development practices. * Works with client stakeholders, including on-site at the client office in Long Island City, NY 1-2 days a week.
Requirements
- 8+ years of overall experience, including 2+ years of hands-on GenAI/LLM development
- Strong experience building GenAI applications, AI agents, agentic workflows and multi-agent solutions
- Hands-on experience with LLMs, RAG, embeddings, vector search, prompt engineering and tool/function calling
- Experience with unstructured data processing, including PDF/document extraction, OCR, image processing, classification and summarization
- Strong Python development skills, API integration and experience with AI frameworks such as LangChain, LangGraph or equivalent
- Familiarity with Databricks AI capabilities, including AI Functions, AI Search/Vector Search, Model Serving and MLflow
- Experience with AI evaluation frameworks, guardrails, hallucination testing, human-in-the-loop workflows and AI observability
- Ability to review partner AI solution designs, agent workflows, code quality, performance and cost optimization
- Experience with AI-assisted/spec-driven development and production deployment of enterprise AI applications
About the company
C5i is a pure-play AI & Analytics provider that combines the power of human perspective with AI technology to deliver trustworthy intelligence. The company drives value through a comprehensive solution set, integrating multifunctional teams that have technical and business domain expertise with a robust suite of products, solutions, and accelerators tailored for various horizontal and industry-specific use cases. At the core, C5i’s focus is to deliver business impact at speed and scale by driving adoption of AI-assisted decision-making.
C5i caters to some of the world’s largest enterprises, including many Fortune 500 companies. The company’s clients span Technology, Media, and Telecom (TMT), Pharma & Lifesciences, CPG, Retail, Banking, and other sectors. C5i has been recognized by leading industry analysts like Gartner and Forrester for its Analytics and AI capabilities and proprietary AI-based platforms.
A variety of soft skills and experience may be required for the following role Please ensure you check the overview below carefully.
Global offices
| United States | Canada | United Kingdom | United Arab of Emirates | India |
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