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Senior AI Engineer (Dallas)

Senior AI Engineer (Dallas)

Neudesic, an IBM CompanyDallas, TX, United States
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About Neudesic

Passion for technology drives us, but its innovation that defines us. From design to development and support to management, Neudesic offers decades of experience, proven frameworks and a disciplined approach to quickly deliver reliable, quality solutions that help our customers go to market faster.

Neudesic, an IBM Company, is a trusted technology partner in business innovation, delivering impactful business results to clients through digital modernization and evolution. We specialize in providing services and solutions that drive digital transformation, leveraging our expertise in cloud, data, and AI technologies.

What sets us apart from the rest, is an amazing collection of people who live and lead with our core values. We believe that everyone should be Passionate about what they do, disciplined to the core, innovative by nature, committed to a Team and conduct themselves with Integrity. If these attributes mean something to you - we'd like to hear from you.

We are seeking a Senior Modern AI Engineer to join our growing Data & AI practice. This role involves designing, developing, and deploying AI solutions using Microsoft Azure technologies, with a focus on generative AI, agentic AI, large language models (LLMs), and Retrieval-Augmented Generation (RAG) architectures. The ideal candidate will have a strong foundation in AI / ML, experience with Azure AI services, and the ability to work collaboratively in a consulting environment.

Key Responsibilities :

AI Solution Development & Deployment :

  • Design and implement AI models and algorithms using Azure AI services, including Azure Machine Learning, Cognitive Services, and Azure OpenAI.
  • Develop and deploy machine learning models, particularly focusing on NLP and LLMs, utilizing frameworks such as LangChain or Semantic Kernel.
  • Implement RAG architectures using Azure AI Search to enhance the performance and accuracy of generative AI applications.

Project Delivery & Client Engagement :

  • Lead and contribute to the delivery of AI projects, ensuring solutions are scalable, secure, and aligned with client objectives.
  • Work in both project-based and staff augmentation roles, adapting to various client environments and requirements.
  • Provide technical expertise and guidance to clients, ensuring successful adoption and integration of AI solutions.
  • Model Validation & Quality Assurance :

  • Conduct thorough testing and validation of AI models to ensure accuracy, reliability, and performance.
  • Optimize and fine-tune models, addressing issues related to data quality, bias, and fairness.
  • Stay current with industry trends and best practices in AI technology, incorporating them into solution development.
  • Preferred Consulting Experience :

  • Collaborate with sales and delivery teams to design AI solutions that meet client needs.
  • Develop estimates and proposals for AI projects, articulating the value and feasibility of proposed solutions.
  • Conduct technical presentations and demonstrations to clients and stakeholders.
  • Education & Experience :

  • Bachelor's Degree in Computer Science, Data Science or similar (relevant work experience is acceptable)
  • 3+ years of experience in AI / ML development, with a focus on OpenAI Services, NLP and LLMs.
  • 8+ years of experience in a consulting environment, engaging with clients and delivering tailored solutions.
  • Technical Skills :

  • Proficiency in programming languages such as Python or C#.
  • Experience with Azure AI services, including Azure Machine Learning, Cognitive Services, and Azure OpenAI.
  • Familiarity with RAG architectures and tools like LangChain, Semantic Kernel, or LlamaIndex.
  • Model selection, validation, and workload optimization.
  • Knowledge of data processing and pipeline development using Azure Data Factory or similar tools.
  • Understanding of MLOps practices and tools for model lifecycle management.
  • Soft Skills :

  • Strong analytical and problem-solving abilities.
  • Excellent communication and collaboration skills.
  • Ability to work independently and as part of a team in a dynamic, fast-paced environment.
  • Preferred Qualifications :

  • Microsoft Certified : Azure AI Engineer Associate or similar certifications.
  • Experience with containerization and deployment tools such as Docker and Kubernetes.
  • Familiarity with responsible AI principles and practices.
  • Why Join Neudesic?

  • Opportunity to work on cutting-edge AI projects across various industries.
  • Collaborative and inclusive work environment that values innovation and continuous learning.
  • Access to professional development resources and training programs.
  • Competitive compensation and benefits package.
  • Accommodations currently remain in effect for Neudesic employees to work remotely, provided that remote work is consistent with the work patterns and requirements of their teams management and client obligations. Subject to business needs, employees may be required to perform work or attend meetings on-site at a client or Neudesic location.

    Please be aware of phishing scams involving fraudulent career recruiting and fictitious job postings; visit our Phishing Scams page to learn more.

    Neudesic is an Equal Employment Opportunity Employer

    Neudesic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws

    Neudesic is an IBM subsidiary which has been acquired by IBM and will be integrated into the IBM organization. Neudesic will be the hiring entity. By proceeding with this application, you understand that Neudesic will share your personal information with other IBM companies involved in your recruitment process, wherever these are located. More Information on how IBM protects your personal information, including the safeguards in case of cross-border data transfer, are available here : https : / / www.ibm.com / us-en / privacy?lnk=flg-priv-usen

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