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AI Solutions Architect

Presales/Direct Hire

OUR CLIENT
Our client is a global leader in intelligent automation, empowering enterprises to transform complex, data-heavy workflows using AI and machine learning. Our platform combines cutting-edge AI technologies with robust automation capabilities to streamline operations and accelerate digital transformation.

RESPONSIBILITIES
We are looking for an experienced AI Solutions Architect to design and implement AI-powered automation solutions for enterprise clients. This role combines technical expertise in AI/ML with client-facing consulting and solution delivery. You will lead the architecture of intelligent systems that integrate LLMs, NLP, and computer vision into scalable enterprise solutions.
 

  • Solution Architecture: Design end-to-end intelligent automation solutions using AI/ML, with a focus on scalable deployments using our enterprise automation platform.
  • AI Integration: Utilize LLMs, RAG, vector databases (e.g., FAISS, Pinecone), and NLP to build high-impact solutions for data extraction, document processing, and knowledge discovery.
  • Client Engagement: Conduct workshops, technical presentations, and POCs to understand business needs and recommend tailored AI strategies.
  • Implementation Support: Collaborate with engineering and delivery teams to ensure solutions are implemented according to best practices in security, performance, and maintainability.
  • Cross-Team Collaboration: Work closely with Sales, Product, and Strategy teams to align client requirements with product capabilities and roadmaps.
  • Security & Compliance: Design solutions that adhere to enterprise standards such as SOC 2, HIPAA, and GDPR, especially in regulated industries.

REQUIREMENT
  • Experience: 10+ years in solution architecture, enterprise automation, or AI-driven software delivery.
  • Technical Expertise: Strong knowledge of AI/ML (LLMs, NLP, computer vision), automation platforms (e.g., TotalAgility), and enterprise system integration.
  • Programming Skills: Proficient in Python, Java, or .NET; comfortable working with APIs, SDKs, and cloud platforms like Azure or AWS.
  • AI Deployment: Experience deploying and managing AI models using tools like Azure ML, AWS SageMaker, or Kubernetes-based pipelines.
  • Communication: Excellent interpersonal and presentation skills; capable of engaging both technical and executive-level stakeholders.
  • Education: Bachelors degree in Computer Science, Engineering, or related field (Masters preferred).

 

JOB ID: 2260

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