Sensiple Inc is a New Jersey corporation with over two decades of expertise in technology-driven solutions specializing in Customer Experience, Contact Centre Solutions, Digital Transformation, Cloud Computing & Independent Testing.
With an expert team that has enriched experience in executing & developing sustainable IT strategies in Healthcare, Technology, Retail, Logistics, Education, Telecommunications, Government and Media, we help our diverse customers to envision the future. By developing highly scalable and consistent solutions, our primary goal is to deliver excellence at all levels and delight our customers and drive them to a better future.
One of our clients is looking for a Senior Generative AI Engineer / Architect @Plano, TX (Hybrid), please find below the details of the position.
Job Title: Senior Generative AI Engineer / Architect
Location: Plano, TX, USA
Employment Type: Contract
Experience: 5+ Years
Job Summary
We are looking for a hands-on Senior Generative AI Engineer / Architect to design, develop, and implement innovative AI and machine learning solutions. The ideal candidate will have strong experience in Python, machine learning, data engineering, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI-powered applications.
In this role, you will develop proof of concepts, experiment with emerging AI technologies, and collaborate with engineering, architecture, and business teams to transform ideas into scalable, production-ready solutions.
Key Responsibilities
- Design, develop, and implement AI/ML solutions using machine learning, data science, and Generative AI technologies.
- Build and optimize LLM-based applications, RAG pipelines, vector search solutions, and AI agent workflows.
- Develop prototypes and proof of concepts using Python, AI SDKs, and model APIs.
- Work with structured and unstructured data to build data pipelines, analytics workflows, and AI-powered solutions.
- Evaluate different AI models, frameworks, and tools to identify the best solutions for business requirements.
- Collaborate with engineering and architecture teams to move prototypes into production environments.
- Contribute to solution architecture, API integration, cloud deployment, scalability, and security.
- Test, evaluate, and improve AI models and applications for accuracy, performance, and reliability.
- Research emerging AI technologies and share recommendations with technical teams and business stakeholders.
- Maintain technical documentation and support AI innovation initiatives.
Required Qualifications
- Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field, or equivalent practical experience.
- 5+ years of experience in AI engineering, machine learning, data science, data engineering, or related technical roles.
- Strong programming skills in Python and SQL.
- Hands-on experience developing machine learning models and Generative AI applications.
- Experience working with LLMs, RAG, vector databases or vector search, and AI-enabled workflows.
- Experience with AI platforms such as OpenAI, Azure AI, Anthropic, AWS Bedrock, Databricks, Hugging Face, or similar technologies.
- Knowledge of data processing, data pipelines, APIs, and AI/ML frameworks.
- Strong analytical, problem-solving, experimentation, and communication skills.
Preferred Qualifications
- Experience with Agentic AI, AI agents, and workflow orchestration frameworks.
- Knowledge of MLOps, LLMOps, model evaluation, monitoring, and responsible AI practices.
- Experience designing AI architectures and deploying solutions in cloud environments.
- Familiarity with model fine-tuning, enterprise analytics, and system integration.
- Relevant AI, cloud, or data engineering certifications are a plus.
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