Data and AI Architect

TSP talent; Champaign (IL); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive salary

Extensive benefits

Professional growth opportunities

Job summary

TSP talent seeks a Data and AI Architect to design and deliver advanced data platforms across Azure and AWS, including deployment of ML models and generative AI applications.

You will collaborate with data scientists, engineers, and business stakeholders to translate complex requirements into scalable, governed solutions, with emphasis on data warehousing and emerging AI technologies. The role supports a renewable energy oriented organization with strong growth.

Qualifications

• Experience designing data architectures for cloud environments.
• Strong knowledge of data governance and warehousing.
• Proficiency with AI/ML toolkits and model deployment pipelines.

Responsibilities

• Design scalable data platforms across Azure and AWS.
• Deploy ML models and generative AI applications.
• Conduct proofs of concepts and embed governance best practices.
• Collaborate with data scientists, engineers, and stakeholders to translate requirements into solutions.

Skills

Data architecture

Cloud platforms

AI/ML frameworks

Data governance

Data modeling

Tools

Azure

AWS

Spark

DevOps practices

Job description

The Data and AI Architect is responsible for designing and delivering advanced data platforms and intelligent solutions across cloud environments, primarily Azure and AWS.

Key duties include architecting scalable, secure systems; deploying machine learning models and generative AI applications; conducting proof of concepts; and ensuring best practices and governance are embedded in solutions.

Collaboration with data scientists, engineers, and business stakeholders is essential to translate complex requirements into impactful outcomes.

Ideal candidates have proven experience in data architecture, cloud technologies, and AI/ML frameworks, with strong knowledge of data governance, warehousing, and emerging AI tech. Skills in cloud platform certifications, big data tools like Spark, and DevOps practices are advantageous.

Join a forward-thinking organization committed to renewable energy, innovation, and inclusivity, offering competitive salary, extensive benefits, and opportunities for professional growth.