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AI Solutions Architect

7-17 Years
Early Applicant
  • Posted 12 hours ago
  • Be among the first 10 applicants

Job Description

Role Description
  • Design end-to-end AI system architectures that integrate machine learning, data pipelines, and enterprise applications
  • Translate business requirements into scalable, secure, and production-ready AI solutions
  • Define technical architecture for AI/ML systems including data flow, model deployment, APIs, and infrastructure
  • Collaborate with data scientists, ML engineers, MLOps engineers, and software architects to deliver AI solutions
  • Evaluate and select appropriate AI technologies, frameworks, and cloud services (AWS, Azure, GCP)
  • Ensure AI solutions are scalable, reliable, cost-efficient, and aligned with enterprise architecture standards
  • Design integration of AI models (including LLMs, generative AI, and predictive models) into business systems
  • Establish guidelines for model deployment, monitoring, governance, and lifecycle management
  • Optimize performance, latency, and infrastructure usage for AI workloads
  • Ensure security, compliance, and responsible AI principles are embedded in system design
  • Support proof-of-concept (POC) development and transition to production systems
  • Provide technical leadership and architectural guidance across AI initiatives
Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field
  • 7–15+ years of experience in software engineering, data engineering, ML engineering, or solution architecture roles
  • Strong expertise in AI/ML concepts, including supervised/unsupervised learning, deep learning, and generative AI
  • Experience designing distributed systems, cloud architectures, and microservices-based solutions
  • Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI services (SageMaker, Vertex AI, Azure ML, etc.)
  • Familiarity with MLOps tools and practices (CI/CD for ML, model monitoring, feature stores)
  • Strong programming background (Python, Java, or similar)
  • Experience with data architecture (data lakes, warehouses, streaming systems)
  • Strong understanding of APIs, system integration, and enterprise application architecture
  • Knowledge of security, governance, and compliance in AI systems
  • Excellent problem-solving, system design, and analytical skills
  • Strong communication skills with ability to engage both technical and executive stakeholders 

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About Company

Job ID: 151502097

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