AI Solution Architect

Compunnel, Inc.; Richmond (VA); On-site; USD 100,000 - 130,000; Full time

Job summary

A tech solutions provider is looking for an AI Solution Architect in Richmond, Virginia. This role involves bridging business goals with advanced AI technologies and data architectures. Candidates should have strong expertise in AI and cloud platforms, along with leadership skills to manage cross-functional teams and ensure quality delivery. A Bachelor’s or Master’s degree in a related field and 4-5 years of relevant experience are required. Competitive salary and benefits offered.

Qualifications

• 4–5 years of experience in Data Management, Data Architecture, or Solution Architecture.
• Experience managing MSPs and leading technical project teams.

Responsibilities

• Collaborate with stakeholders to understand strategic goals.
• Translate business requirements into data architectures.
• Serve as a trusted advisor on data and AI-enabled transformation.
• Evaluate and integrate emerging AI technologies.
• Design and deliver scalable, secure AI solutions.
• Work with architecture teams to create technical roadmaps.
• Lead project teams using agile methodologies.
• Manage risks, budgets, and timelines effectively.
• Oversee MSPs to ensure high-quality outcomes.

Skills

AI knowledge with expertise in data modeling

Proficiency in ETL tools

Programming skills in Python, Java, or Scala

Experience with AWS, Azure, or GCP

Hands-on experience with Databricks

Problem-solving and analytical skills

Leadership and stakeholder management

Education

Bachelor’s or Master’s degree in Computer Science

Job description

The AI Solution Architect will play a critical role in bridging business goals with advanced AI and data-driven technology solutions. This role involves designing scalable, secure, and enterprise-aligned architectures while managing relationships with Managed Service Providers (MSPs). The ideal candidate will have deep expertise in AI, data architecture, and cloud platforms, along with strong leadership and project management skills to drive digital transformation initiatives.

Key Responsibilities:

• Collaborate with business stakeholders to understand strategic goals, operational challenges, and transformation needs.
• Translate business requirements into data architectures that drive measurable business value.
• Serve as a trusted advisor to business leaders on data and AI-enabled transformation.
• Evaluate, recommend, and integrate emerging AI and machine learning technologies into enterprise environments.
• Stay current with AI, automation, and data analytics trends to identify innovation opportunities.
• Design and deliver end-to-end data and AI solutions that are scalable, secure, and compliant.
• Work with enterprise architecture teams to create blueprints, integration patterns, and technical roadmaps.
• Lead cross-functional project teams through full project lifecycles using agile and hybrid methodologies.
• Manage risks, dependencies, budgets, and timelines effectively while maintaining delivery quality.
• Oversee and guide MSPs in complex delivery environments to ensure high-quality solution outcomes.

Required Skills:

• Strong AI knowledge with expertise in data modeling, database design, and data warehousing.
• Proficiency in ETL tools, data integration, and pipeline design.
• Programming skills in Python, Java, or Scala.
• Extensive experience with cloud platforms (AWS, Azure, or GCP).
• Strong hands‑on experience with Databricks.
• Excellent problem‑solving, analytical, and communication skills for cross‑functional collaboration.
• Proven leadership and stakeholder management skills in enterprise environments.

Education:

Bachelor’s or Master’s degree in Computer Science, Information Systems, Business, or a related field.

Experience:

• 4–5 years of experience in Data Management, Data Architecture, or Solution Architecture.
• Experience managing MSPs and leading technical project teams.