Senior Generative AI Engineer / Architect

About the role

Now Hiring: Senior Generative AI Engineer / Architect. Location: Plano, Texas. Work Model: Hybrid – 4 Days On-site per Week. Employment Type: Contract – 1 Year. Experience: 5+ Years. The ideal candidate will possess strong hands-on expertise in Generative AI, machine learning, Python, SQL, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector search, and AI agents. This role requires a combination of software engineering proficiency, AI solution architecture, rapid prototyping, and enterprise AI integration experience.

Responsibilities

• Design and develop AI/ML solutions and Generative AI applications for enterprise use cases.
• Build LLM-powered applications, RAG pipelines, vector search solutions, and agentic AI workflows.
• Develop and validate proofs of concept (POCs) using Python, AI SDKs, and model APIs.
• Evaluate emerging AI technologies, frameworks, and model performance.
• Collaborate with engineering, architecture, data, and business teams to transition validated prototypes into scalable production solutions.
• Contribute to AI architecture decisions involving model selection, cloud infrastructure, APIs, security, and deployment.
• Develop reusable data pipelines and integrate AI solutions with enterprise applications and data platforms.

Qualifications

Required:

• 5+ years of experience in AI engineering, machine learning, data science, data engineering, or related technical fields.
• Strong proficiency in Python and SQL.
• Hands-on experience developing LLM applications, RAG systems, vector search solutions, and AI-enabled workflows.
• Experience with AI/ML frameworks, libraries, and model APIs.
• Familiarity with platforms such as Azure AI, OpenAI, Anthropic, AWS Bedrock, Databricks, or Hugging Face.
• Strong understanding of data pipelines, model experimentation, and AI solution development.
• Excellent analytical, problem-solving, communication, and documentation skills.

Preferred:

• Experience with MLOps, LLMOps, model evaluation, monitoring, and responsible AI practices.
• Knowledge of agentic AI, multi-agent systems, workflow orchestration, and model fine-tuning.
• Experience designing scalable cloud-based AI architectures and production-ready enterprise solutions.
• Relevant AI, cloud, or data engineering certifications.

Schedule

Hybrid – 4 Days On-site per Week in Plano, Texas.