Technical Architect – AI, ML & Generative AI

Technical Architect – AI, ML & Generative AI

Frisco, United States | Posted on 05/11/2026

• Research, design, and prototype state-of-the‑art AI/ML and Generative AI models (e.g., LLMs, Transformers, Diffusion Models) to address complex business challenges.
• Architect end-to-end ML pipelines, encompassing data ingestion, preprocessing, model training, evaluation, deployment, and monitoring (MLOps).
• Design cloud‑native, scalable, and cost‑optimized AI solutions for deployment on AWS (Sage Maker, Bedrock) and GCP (Vertex AI, Gemini).
• Make strategic build‑vs‑buy decisions and select the right frameworks (e.g., Tensor Flow, PyTorch, Hugging Face, Lang Chain).
• Use experience with Multi‑Model RAG based solution development & Agentic AI based solution approaches.
• Lead by example: write production‑quality code, build and tune models, and troubleshoot complex issues within the data and ML stack.
• Own the entire ML lifecycle, ensuring best practices in reproducibility, versioning (e.g., MLflow, DVC), and model governance.
• Collaborate closely with the Cloud/Dev Ops Architect to integrate AI workloads seamlessly into CI/CD pipelines and cloud infrastructure.
• Serve as the primary technical mentor for interns and junior data scientists, providing guidance on projects, code reviews, and research methodologies.
• Foster a culture of continuous learning by conducting workshops on advanced AI topics, ethical AI, and new technologies.
• Translate complex AI concepts into actionable tasks for the team.
• Act as the key AI expert during pre‑sales, demonstrating the technical superiority and value of our AI solutions to potential customers and partners.
• Architect and deliver compelling proof‑of‑concepts (POCs) and demos that showcase practical applications.
• Create high‑quality technical content (whitepapers, architecture diagrams, blog posts) to articulate the innovation behind our marketplace offerings.
• Present solutions confidently to both technical and non‑technical audiences, supporting the sales cycle.

• 5‑10 years of hands‑on experience in data science, machine learning, and AI, with at least 3 years in an architect or tech lead role.
• Bachelor's Degree preferred.
• A proven track record of building, training, tuning, and deploying machine learning models into production environments.
• Deep, practical experience with Generative AI, including working with Large Language Models (LLMs), prompt engineering, RAG architectures, and fine‑tuning.
• Strong proficiency in Python and its core ML ecosystem (e.g., Pandas, Num Py, Scikit‑learn, Tensor Flow/PyTorch, matplotlib). Scala, GO experience is an added advantage.
• Experience in building AI solutions which follow, “secure by design” principles, including data encryption, privacy‑preserving ML techniques, vulnerability scanning, and compliance readiness (SOC2, FedRAMP).
• Extensive experience with cloud AI platforms: AWS Sage Maker and/or GCP Vertex AI.
• Solid understanding of MLOps principles and tools (e.g., MLflow, Kubeflow).
• Experience with data engineering and processing large datasets (SQL, Spark, Leetcode, Strata Scratch).

• Direct experience packaging and launching solutions on the AWS Marketplace and/or GCP Marketplace.
• Published research, contributions to open‑source AI projects, or a strong portfolio of personal projects.
• Exceptional storytelling and presentation skills, with experience in a customer‑facing pre‑sales or consulting role.
• Relevant cloud certifications (e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer).

• Self‑motivated individual with the ability to thrive in a team‑based or independent environment.
• Detail‑oriented with strong organization and reporting skills.
• Ability to work in a fast‑paced environment.
• Limited supervision and the exercise of discretion.

The physical demands described here are representative of those that must be met by contract employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the…