Senior Solutions Architect – DoD Readiness & AI

Virtualitics; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

Virtualitics is seeking a Senior Solutions Architect with DoD experience to lead technical engagements and architecture design for defense and government customers. You will guide customers toward mission-critical objectives, support pre-sales efforts, and define long-term technical strategies across cloud platforms and AI/ML solutions.

The role requires strong communication, independent work, and deep knowledge of data science, data engineering, and systems integration to ensure scalable,

Qualifications

• DoD SECRET clearance required with 10+ years in supporting the DoD.
• Proven proficiency in data science, data engineering, and AI/ML solutions.
• Experience with cloud platforms and systems integration across large enterprises.

Responsibilities

• Engage with customers as a technical advisor to achieve mission-critical objectives.
• Support pre-sales activities with product demonstrations and RFP responses.
• Define long-term technical strategies for customer engagements and architectures.
• Bridge customer stakeholders with internal teams to translate business needs into technical requirements.
• Design and review architectures aligned with customer requirements and best practices.
• Identify and mitigate technical risks to ensure successful project delivery.
• Collaborate with marketing and product teams to create technical collateral.

Skills

DoD SECRET Clearance

Data science

Data engineering

AI/ML solutions

Cloud platforms

Systems integration

Excellent communication

Job description

Virtualitics is seeking a Senior Solutions Architect with DoD experience to lead technical engagements and architecture design for defense and government customers. You will guide customers toward mission-critical objectives, support pre-sales efforts, and define long-term technical strategies across cloud platforms and AI/ML solutions.

The role requires strong communication, independent work, and deep knowledge of data science, data engineering, and systems integration to ensure scalable,