Solution Architect: Data & AI

Computer Task Group, Inc

2d • Remote

About The Position

We are seeking a Solution Architect – Data & AI to lead the design and delivery of scalable, secure, and high-performance data and AI solutions. This individual will play a key role in shaping our modern data ecosystem, including cloud data platforms, advanced analytics, machine learning, and enterprise data integration strategies.
The ideal candidate has a strong foundation in cloud-native data architecture, experience with enterprise AI/ML initiatives, and a strategic mindset to align technology with business outcomes.
Consulting role, full time for CTG
End Clients: various industries
Location: Remote

Requirements

• 8+ years of experience in data architecture, data engineering, or AI/ML solution design.
• Proven success delivering cloud-native data platforms and AI solutions (Azure preferred).
• Hands-on experience with tools like Azure Data Factory, Synapse Analytics, Databricks, Power BI, SQL, Python, and Spark.
• Experience with machine learning workflows, MLOps, and integration into production environments.
• Strong understanding of data governance frameworks, metadata management, and security best practices.
• Excellent communication and presentation skills; ability to engage both technical and non-technical stakeholders.
• Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.

Nice To Haves

• Experience deploying Generative AI / LLM-based solutions using Azure OpenAI, LangChain, or similar frameworks.
• Knowledge of Microsoft Purview, Unity Catalog, or similar data cataloging/governance tools.
• Certifications such as Azure Solutions Architect Expert, DP-203, or AI-102 are a strong plus.
• Experience in regulated industries (healthcare, energy, financial services) a plus.

Responsibilities

• Architect end-to-end data and AI solutions across cloud platforms (Azure, AWS, or GCP), including data ingestion, processing, storage, analytics, and ML/AI services.
• Lead the design of modern data Lakehouse architectures, data warehouses, and real-time analytics pipelines using tools such as Databricks, Synapse, Azure Data Factory, and Power BI.
• Define AI/ML solution frameworks, including feature stores, model lifecycle management, and responsible AI practices.
• Partner with business and technology stakeholders to understand strategic goals and translate them into scalable technical solutions.
• Serve as a trusted advisor across product, data science, engineering, and compliance teams.
• Ensure all solutions comply with data governance, privacy, and regulatory requirements (e.g., GDPR, HIPAA).
• Collaborate with enterprise security teams to define identity, access, and data protection strategies.
• Guide enterprise adoption of emerging AI technologies, including Generative AI, NLP, and predictive analytics.
• Contribute to data platform modernization strategies, evaluating new tools, patterns, and architectures.
• Provide technical oversight during solution implementation, ensuring best practices in DevOps, CI/CD, infrastructure as code (IaC), and monitoring.
• Mentor technical teams and enable knowledge transfer through architecture diagrams, documentation, and working sessions.

Benefits

• Opportunity to shape enterprise-scale solutions with meaningful business impact.
• Collaborative environment with technical autonomy.
• Ongoing professional development and certifications in cloud and AI technologies.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees