AI Solution Architect

TechDigital Group; San Ramon (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

TechDigital Group, located in the United States, is seeking an AI Solution Architect to translate complex business challenges into viable AI/ML solutions. This role demands a deep understanding of AI methodologies, cloud platforms, and software engineering practices.

The ideal candidate should hold a relevant degree and have substantial experience designing end-to-end machine learning pipelines while demonstrating problem-solving and communication skills. Candidates will work closely with teams to ensure successful AI product delivery.

Qualifications

• Years of experience in solution architecture, specifically AI/ML solutions in an enterprise environment.
• Proven expertise in designing and deploying end-to-end machine learning pipelines.
• Solid understanding of data governance, data quality, and data security principles.

Responsibilities

• Translate complex business challenges into viable, scalable, and secure AI/ML solutions.
• Guide the successful delivery of AI-powered products and services.
• Work closely with various teams including business stakeholders, data scientists, and software developers.

Skills

AI/ML methodologies

Data architectures

Cloud platforms

Software engineering best practices

Problem-solving

Communication

Education

Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or related field

Tools

AWS

Azure

GCP

Python

R

Java

Job description

AI Solution Architect

The AI Solution Architect will be responsible for translating complex business challenges into viable, scalable, and secure AI/ML solutions. This role requires a deep understanding of AI/ML methodologies, data architectures, cloud platforms, and software engineering best practices. The successful candidate will work closely with business stakeholders, data scientists, ML engineers, software developers, and IT operations teams to architect, guide, and ensure the successful delivery of AI‑powered products and services.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related quantitative field.
• Years of experience in solution architecture, with at least years specifically focused on designing and implementing AI/ML solutions in an enterprise environment.
• Proven expertise in designing and deploying end‑to‑end machine learning pipelines.
• Strong understanding of various AI/ML techniques and algorithms (e.g., supervised, unsupervised, reinforcement learning, deep learning, NLP, computer vision).
• Hands‑on experience with at least one major cloud platform's AI/ML services (AWS, Azure, GCP).
• Proficiency in programming languages commonly used in AI/ML (e.g., Python, R, Java).
• Familiarity with MLOps principles and tools for continuous integration, deployment, and monitoring of ML models.
• Solid understanding of data governance, data quality, and data security principles.
• Excellent problem‑solving, analytical, and critical‑thinking skills.
• Strong communication, presentation, and interpersonal skills, with the ability to influence and collaborate effectively across diverse teams.

Preferred Qualifications

• Experience with Generative AI models (LLMs, diffusion models) and related frameworks (e.g., LangChain, LlamaIndex).
• Experience with big data technologies (e.g., Spark, Hadoop, Kafka).
• Certifications in relevant cloud AI/ML platforms (e.g., AWS Certified Machine Learning Specialty, Google Cloud Professional Machine Learning Engineer).
• Experience with agile development methodologies.