Generative AI Engineer Job at SoTalent, Johnston, RI

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  • SoTalent
  • Johnston, RI

Job Description

Job Title: Generative AI Engineer

Location: Johnston, Rhode Island

Type: Full Time

Our client is looking for a GenAI Engineer IV to lead strategy, architecture, and implementation of cutting-edge Generative AI solutions. This is an expert-level role where you’ll design cloud-native architectures, build RAG workflows, and integrate structured and unstructured data to deliver secure, scalable AI systems.

What You’ll Do

  • Architect and deploy Generative AI solutions using LLMs (OpenAI, Gemini, Llama2, GPT-4) and multi-modal models on Azure and cloud platforms.
  • Build RAG workflows, agentic AI frameworks, and data integration pipelines using tools like Promptflow, LangChain, Azure AI Search, Vector DBs, Hugging Face, Semantic Kernel.
  • Implement CI/CD automation, observability metrics, and robust testing strategies for enterprise-scale deployments.
  • Collaborate with Solution Architects to align AI initiatives with business goals, ensuring security, scalability, and compliance.
  • Mentor engineers, lead internal learning forums, and influence enterprise AI strategy.

What We’re Looking For

  • Bachelor’s degree in Computer Science, AI, Data Science, or equivalent experience.
  • 8+ years in AI engineering, with deep expertise in Generative AI and cloud-native architectures.
  • Advanced proficiency in Python, .NET, C# and frameworks like LangChain, Hugging Face.
  • Strong knowledge of LLMs, multi-modal models, Kubernetes, Terraform, and API development.
  • Experience with CI/CD pipelines, automated testing, and ethical AI practices (bias detection, hallucination analysis).
  • Proven leadership in AI strategy, mentoring, and enterprise-scale delivery.

Benefits & Perks

  • Competitive compensation and performance-based incentives.
  • Comprehensive health and wellness programs.
  • Retirement plans (401(k) and pension).
  • Flexible work arrangements and generous paid time off.
  • Tuition reimbursement and continuous learning opportunities.

Job Tags

Full time, Flexible hours,

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