Gen AI Architect

Job Title : Gen AI Architect (Mid-level)

Location: Frisco/Houston/Austin, TX Onsite

Responsibilities:

• We are seeking an experienced GEN AI Architect with a strong background in AI/ML, LLM, SLM, Gen-AI, and Data Engineering to support the design, development, and co-creation of cutting-edge AI solutions, with a strong focus on hands-on execution and rapid prototyping.
• This role will require expertise in building real-world solutions that can be quickly demonstrated to clients, leveraging open-source tools and partner solutions to showcase impactful use cases across the industry verticals.
• The ideal candidate will be agile, hands-on, and capable of creating demos on the fly.
• They should be able to solution, build demos, play with customer data to build use-cases, and work with open-source elements and partner solutions (ISVs/SaaS/Technology majors) to show value-based proof-of-concepts.
• The candidate should have strong conceptualization skills and the ability to process data and build quick real-life demos and have excellent presentation skills to explain the solution to clients.
• The Architect should also be competent to work with internal stakeholders, partners and clients proactively, as well as support responses to RFIs and RFPs, clearly exhibiting the ability to think out-of-the-box and build solution framework and architectural approach that stands well and uniquely differentiated.

Key Responsibilities:

• Design and develop generative AI models and architectures to solve complex industrial problems.
• Collaborate with cross-functional teams to integrate AI solutions into existing industrial systems and workflows.
• Lead the end-to-end lifecycle of AI projects, from ideation and prototyping to deployment and maintenance.
• Conduct research and stay up-to-date with the latest advancements in AI and machine learning technologies.
• Optimize AI models for performance, scalability, and reliability in industrial environments.
• Mentor and guide junior AI engineers and data scientists.
• Communicate technical concepts and project progress to stakeholders and non-technical team member

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field. PhD is a plus.
• Proven experience in designing and implementing generative AI models, such as GANs, VAEs, or transformers.
• Strong programming skills in Python and familiarity with AI/ML frameworks like TensorFlow, PyTorch, or Keras.
• Experience with industrial applications of AI, such as predictive maintenance, quality control, or supply chain optimization.
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Strong communication skills and the ability to explain complex technical concepts to diverse audiences.

Preferred Skills:

• Experience with cloud platforms (AWS, Azure, Google Cloud Platform) and deploying AI models in production.
• NVIDIA platform experience is preferred (NVIDIA AI, Omniverse)
• Knowledge of OpenUSD and its application to build digital twins is an advantage
• Knowledge of data engineering and big data technologies.
• Familiarity with industrial IoT and edge computing.